content stringlengths 42 6.51k |
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def convert_from_alphabet(a):
"""Encode a character
:param a: one character
:return: the encoded value
"""
if a == 9:
return 1
if a == 10:
return 127 - 30 # LF
elif 32 <= a <= 126:
return a - 30
else:
return 0 |
def duplicate(N, Elem):
"""
N = integer() >= 0
Elem = T
List = [T]
T = term()
Returns a list which contains N copies of the term Elem. For example:
> lists:duplicate(5, xx).
[xx,xx,xx,xx,xx]
Note: Function taken from Erlang -
http://erldocs.com/17.3/stdlib/lists.html#duplicat... |
def split_query_into_tokens(query):
"""
Splits query string into tokens for parsing by 'tokenize_query'.
Returns list of strigs
Rules:
Split on whitespace
Unless
- inside enclosing quotes -> 'user:"foo bar"'
- end of last word is a ':' -> 'user: foo'
Example:
>>>... |
def is_sudoku_complete(output_grid):
"""
Checks if every square of the output grid is non-zero
:param output_grid: Grid of the found squares, len(9) list of len(9) lists of ints
:return: True if complete, False if not
"""
if any([any([square == 0 for square in row]) for row in output_g... |
def pack_parameter_id(domain_id: int, unique_id: int, linear_index: int) -> bytearray:
"""Packs the Parameter ID (bytearray with 4 bytes) which is part of the service 20 packets.
The first byte of the parameter ID is the domain ID, the second byte is a unique ID and the
last two bytes are a linear index if ... |
def _urldecode(input):
"""URL-decode metadata"""
output = bytearray()
nibbles = 0
value = 0
# Each input character
for char in input:
if char == '%':
# Begin a percent-encoded hex pair
nibbles = 2
value = 0
elif nibbles > 0:
# Parse... |
def lines_from_geometry(geo):
"""Convert an iterable of geometry to lines. Suitable for passing
directly to `matplotlib.collections.LineCollection`.
:param geo: An iterable of geometry items. If cannot be coverted to a
line, then ignored.
:return: A list of coordinates.
"""
... |
def get_hashtags(tokens):
"""Extract hashtags from a set of tokens"""
hashtags = [x for x in tokens if x.startswith("#")]
return hashtags |
def hex_str_to_bytes_str(hex_str):
"""Converts the hex string to bytes string.
:type hex_str: str
:param hex_str: The hex tring representing trace_id or span_id.
:rtype: str
:returns: string representing byte array
"""
return bytes(bytearray.fromhex(hex_str)) |
def map_atoms(indices, nres_atoms=1):
""" Map the indices of a sub-system to indices of the full system
:param indices: indices of atoms to map with respect to full system
:param nres_atoms: number of atoms per residue
:type indices: list
:type nres_atoms: int
:return: dictionary of mapped in... |
def copy_state_dict(state_dict_1, state_dict_2):
"""Manual copy of state dict.
Why ? Because when copying a state dict to another with load_state_dict, the values of weight are copied only
when keys are the same in both state_dict, even if strict=False.
"""
state1_keys = list(state_dict_1.keys())
... |
def autodocument_from_superclasses(cls):
"""Fill in missing documentation on overridden methods.
Can be used as a class decorator.
"""
undocumented = []
for name, attribute in cls.__dict__.items():
# is it a method on the class that is locally undocumented?
if hasattr(attribute, '__... |
def is_url(url: str) -> bool:
"""Return True if a string is a URL.
>>> is_url("")
False
>>> is_url(" ")
False
>>> is_url("http://example.com")
True
"""
return url.startswith("http") |
def format_limit(lim):
"""Format the 'LIMIT' keyword line for SPARQL queries.
"""
if lim is None:
return ""
return "\nLIMIT %d" % lim |
def repeatName(name, times):
"""Repeat a name a number of times."""
name_repeated = name * times
return name_repeated |
def get_excluded_params(schema):
"""
Get all params excluded in this schema,
if "only" is provided in schema instance,
consider all not included params as excluded.
:param schema: instance or cls schema
:return: set of excluded params
"""
if isinstance(schema, type):
return set()... |
def steps_f12(j=None, Xs=None):
"""Stepsize for f update given current state of Xs"""
# Lipschitz const is always 2
L = 2
slack = 0.1# 1.
return slack / L |
def insertion(l):
""""Insertion Sort. takes input as a list by reference."""
m = len(l)
for i in range(1, m):
k = l[i]
j = i - 1
while j >= 0 and k < l[j]:
l[j + 1] = l[j]
j -= 1
l[j + 1] = k
return l |
def supportInterval(thing):
"""Lower and upper bounds on this value, if known."""
if hasattr(thing, 'supportInterval'):
return thing.supportInterval()
elif isinstance(thing, (int, float)):
return thing, thing
else:
return None, None |
def actionColor(status):
"""
Get a action color based on the workflow status.
"""
if status == 'success':
return 'good'
elif status == 'failure':
return 'danger'
return 'warning' |
def estimate_sparse_size(num_rows, topK):
"""
:param num_rows: rows or colum of square matrix
:param topK: number of elements for each row
:return: size in Byte
"""
num_cells = num_rows*topK
sparse_size = 4*num_cells*2 + 8*num_cells
return sparse_size |
def radix_sort(arr, radix=10):
""" Sorts an array of integers inplace using radix sort method.
A type of bucket sort method which sorts keys by their binary representation.
Algorithms: sequencially select the least significant digit (for radix=10)
and collect all keys with equal digit in the same bucke... |
def get_name_spaces(words):
"""Check number of spaces for a given set of words.
Args:
words (list): A list of words
Returns:
dict: The data and summary results.
"""
results = [{'word': word, 'spaces': len(word.split(r' '))}
for word in words]
return {
'da... |
def make_board(N):
"""
Utility function that returns a new N x N empty board (empty spaces represented by '*')
Arg N: integer - board dimensions - must be greater than or equal to 1
"""
assert N >= 1, "Invalid board dimension";
assert type(N) == int, "N must be an integer";
return [["*" for ... |
def render_hunspell_word_error(
data,
fields=["filename", "word", "line_number", "word_line_index"],
sep=":",
):
"""Renders a mispelled word data dictionary.
This function allows a convenient way to render each mispelled word data
dictionary as a string, that could be useful to print in the con... |
def f_path_rename(text):
"""Function to rename path columns - aux function"""
list_columns = []
for properties_name in text:
properties_name = properties_name.lower()
properties_name = properties_name.replace(' ', '_')
properties_name = 'path_' + properti... |
def _slice_required_len(slice_obj):
"""
Calculate how many items must be in the collection to satisfy this slice
returns `None` for slices may vary based on the length of the underlying collection
such as `lst[-1]` or `lst[::]`
"""
if slice_obj.step and slice_obj.step != 1:
return None
... |
def getRelevantInfoDict (dataDict):
"""Returns a dictionary of the relevant/useful information from JSON object string returned from API call given in the form of a dictionary."""
return {
'locationName' : dataDict['name'],
'country' : dataDict['sys']['country'],
'temp' : da... |
def count(context, tag, needle):
"""
*musicpd.org, music database section:*
``count {TAG} {NEEDLE}``
Counts the number of songs and their total playtime in the db
matching ``TAG`` exactly.
"""
return [('songs', 0), ('playtime', 0)] |
def is_inverse(a, b) -> bool:
"""Checks if two provided directions are the opposites of each other.
"""
if (a == 2 and b == 3) or (a == 3 and b == 2):
return True
if (a == 0 and b == 1) or (a == 1 and b == 0):
return True
return False |
def remove_empty(dictionary):
"""Removes empty entries from a dictionary."""
for key in list(dictionary.keys()):
if dictionary.get(key) is None:
del dictionary[key]
return dictionary |
def distinct_words(corpus):
""" Determine a list of distinct words for the corpus.
Params:
corpus (list of list of strings): corpus of documents
Return:
corpus_words (list of strings): list of distinct words across the corpus, sorted (using python 'sorted' function)
... |
def orient(mag_azimuth, field_dip, or_con):
"""
uses specified orientation convention to convert user supplied orientations
to laboratory azimuth and plunge
Parameters:
________________
mag_azimuth: float
orientation of the field orientation arrow with respect to north
fi... |
def convert_to_azimuth(angle):
"""Converts Near 180 to -180 angles to Azimuth Angles. Will also normalize any number to 0-360 .
@param: angle - angle denoted in terms of 180 to -180 degrees
@returns angle - angle 0 to 360"""
if angle <= 180 and angle > 90:
azimuth_angles = 360.0 - (angle - 90)
... |
def roll_by_one( cups ):
"""
This functions rolls the cups by one unit.
The new current cup is the next cup in the clockwise direction.
"""
return cups[1:] + cups[:1] |
def get_events_by_ref_des(data, ref_des):
"""
"""
result = []
return result |
def duplicatesRemoval(checked, node, path_penalty):
"""
IF A collaborated with B, B is also connected to A so when checking B we do not need to add A
however since we have multi path this is not as straightforward, we are only not required to add the node if we found a previous path to the node that present... |
def xmatch_score(a, b):
"""
Simple scoring function: 1 for same value, else 0
"""
if a == b:
return 1
else:
return 0 |
def var_lower_length(tabu_lenght, tabu_var):
"""
Validation function that assert that tabu_var isn't higher number than tabu_lenght
Parameters:
-----------
tabu_lenght: int
tabu_var: int
"""
if tabu_var <= tabu_lenght:
return tabu_var
else:
raise ValueError("tabu_var can't be highe... |
def gcContent(seq):
"""calculate G/C content of sequence"""
gc = seq.count("C") + seq.count("G")
gcPercent = 100 * (float(gc) / len(seq))
return int(round(gcPercent)) |
def make_filter_gff_cmd(gff, baddies, newgff):
""" given a gff file and a file of unwanted locus tags, run inverse grep
Note 2019-04-25 this is a ticking time bomb
"""
# -f means get pattern from file
# -v means return inverse match
return "grep {0} -f {1} -v > {2}".format(gff, baddies, newgff) |
def sigmoid_5params(x, a, b, c, d, g):
"""
:return:
"""
return d + ((a - d) / (1 + (x / c) ** b) ** g) |
def decode_textfield_base64(content):
"""
Decodes the contents for CIF textfield from Base64.
:param content: a string with contents
:return: decoded string
"""
import base64
return base64.standard_b64decode(content) |
def get_schemaloc_string(ns_set):
"""Build a "schemaLocation" string for every namespace in ns_set.
Args:
ns_set (iterable): set of Namespace objects
"""
schemaloc_format = '{0.name} {0.schema_location}'
# Only include schemas that have a schema_location defined (for instance,
# 'xsi' d... |
def mock_install_repository(path: str):
"""
Does not actually perform anything, but still returns a result dict like the other install functions. This
result dict contains the following fields:
- success: True
- path: The path passed as parameter
- git: Github URL
:return: dict
"""
... |
def parse_pct(value):
"""
Parse percentage
"""
return float(value)/100 |
def dict_to_boto3_tags(tag_dict):
"""
Convenience function for converting a dictionary to boto3 tags
:param tag_dict: A dictionary of str to str.
:return: A list of boto3 tags.
"""
return [
{"Key": key, "Value": value}
for key, value in tag_dict.items()
] |
def ppmv2pa(x, p):
"""Convert ppmv to Pa
Parameters
----------
x Gas pressure [ppmv]
p total air pressure [Pa]
Returns
-------
pressure [Pa]
"""
return x * p / (1e6 + x) |
def dot(a, b):
"""Dot product of two TT-matrices or two TT-vectors"""
if hasattr(a, '__dot__'):
return a.__dot__(b)
if a is None:
return b
else:
raise ValueError(
'Dot is waiting for two TT-vectors or two TT- matrices') |
def are_vulnerabilities_equivalent(vulnerability_1, vulnerability_2):
"""
Check if two vulnerability JSON objects are equivalent
:param vulnerability_1: dict JSON object consisting of information about the vulnerability in the format
presented by the ECR Scan Tool
:param vul... |
def direction(a, b):
"""
3, 5 => +1
5, 3 => -1
5, 5 => 0
"""
return 1 if b > a else -1 if a > b else 0 |
def list2dict(lst):
"""Convert the list from RedisAI to a dict."""
if len(lst) % 2 != 0:
raise RuntimeError("Can't unpack the list: {}".format(lst))
out = {}
for i in range(0, len(lst), 2):
key = lst[i].decode().lower()
val = lst[i + 1]
if key != "blob" and isinstance(val... |
def get_vpo(values):
"""
This function shifts values one index backwards.
Day_1: m11, m12, *m13
Day_2: m21, m22, *m23
Day_3: m31, m32, *m33
We want to predict values with *, so
If we want to train our network to predict Day_1
we don't have any data from the previous day, so we can't
... |
def _cohort_cache_key(user_id, course_key):
"""
Returns the cache key for the given user_id and course_key.
"""
return f"{user_id}.{course_key}" |
def even(n):
""" Counts the number of EVEN digits in a given integer/float
"""
try:
if type(n) in [int, float]:
return sum([True for d in str(n) if d.isdigit() and int(d) % 2 == 0])
else:
raise TypeError("Given input is not a supported type")
except TypeError as ... |
def get_url(year_of_study, session):
"""
:param year_of_study: 1, 2, 3 or 4.
:param session: Examples: 20199 is fall 2019. 20195 is summer 2019.
:return:
"""
return "https://student.utm.utoronto.ca/timetable/timetable?yos={0}&subjectarea=&session={1}&courseCode=&sname=&delivery=&courseTitle=".... |
def webotsToScenicPosition(pos):
"""Convert Webots positions to Scenic positions."""
x, y, z = pos
return (x, -z) |
def update_residual_model(residual_model, coefficients_to_add, delta, delta_old):
"""Update linear and square terms of the residual model.
Args:
residual_model (dict): Dictionary containing the parameters of the
residual model, i.e. "intercepts", "linear_terms", and "square terms".
... |
def capitalize_word(string):
"""capitalize_word
Title case the word without .title
Args:
string (str): The string
Returns:
str: The capitalized string
"""
final_word = str()
# #1 - Split the string
split_str = string.split()
# #2 - For each word, captialise
... |
def numRollsToTarget(d, f, target):
"""
throw d dice with faces numbered 1 to f. how many combinations of faces showing sum to target
say on the nth die, we see face value j, then numWays(n, f, target) = numWays(n-1, f, target-j)
"""
dp = [[0]*(target+1) for _ in range(d+1)]
dp[0][0] = 0
for... |
def fibbs(n):
"""
Input: the nth number.
Output: the number of the Fibonacci sequence via iteration.
"""
sequence = []
for i in range(n+1):
if i == 0:
sequence.append(0)
elif i == 1:
sequence.append(1)
else:
total = sequence[i - 2] + se... |
def inverse_interleave(a, b):
"""
Given a coordinate where `a` has been interleaved and `b` hasn't, return
the value that `a` would have at `b=0`.
"""
if a % 2 == 0:
return a + b % 2
else:
return a - (b+1) % 2 |
def getLine(x1, y1, x2, y2):
"""Returns a list of (x, y) tuples of every point on a line between
(x1, y1) and (x2, y2). The x and y values inside the tuple are integers.
Line generated with the Bresenham algorithm.
Args:
x1 (int, float): The x coordinate of the line's start point.
y1 (int,... |
def get_util(maximize, p_dog, p_other, payoffs):
"""
>>> get_util(True, 1.0, 1.0, [1,2,3,4])
1.0
>>> get_util(True, 1.0, 0.5, [1,2,3,4])
1.5
>>> get_util(True, 0.5, 0.5, [1,2,3,4])
2.25
>>> get_util(True, 0.0, 1.0, [1,2,3,4])
4.0
>>> get_util(True, 1.0, 0.0, [1,2,3,4])
2.0
... |
def replace_domain_terms(text, domain_terms, replacement):
"""
Replace domain terms within text
:param text: the text to process
:param domain_terms: the list of domain terms
:param replacement: the replacement for the domain terms
:return: the processed string
"""
for word in domain_ter... |
def str2num(string):
"""
--------------------------------------------------
Tries to see if 'string' is a number
If 'string' is a string, returns:
int(string) for integers
float(string) for floats
'string' otherwise
If 'string' is a float or an integer, returns:
str... |
def parse_float(float_str, default=0):
"""Parses the float_str and returns the value if valid.
Args:
float_str: String to parse as float.
default: Value to return if float_str is not valid.
Returns:
Parsed float value if valid or default.
"""
try:
return float(float... |
def render_bytes(source, *args):
"""Peform ``%`` formating using bytes in a uniform manner across Python 2/3.
This function is motivated by the fact that
:class:`bytes` instances do not support ``%`` or ``{}`` formatting under Python 3.
This function is an attempt to provide a replacement:
it conve... |
def should_import(managedcluster):
"""
should_import returns True if the input managedCluster should be imported,
and False if otherwise.
:param managedcluster: name of managedCluster to import
:return: bool
"""
conditions = managedcluster['status'].get('conditions', [])
for condition in... |
def parse_path(path):
"""
http://www.w3.org/TR/2014/WD-html-json-forms-20140529/#dfn-steps-to-parse-a-json-encoding-path
"""
original = path
failure = [(original, {'last': True, 'type': object})]
steps = []
try:
first_key = path[:path.index("[")]
if not first_key:
... |
def calc_x(f, t):
"""Calc x from t.
:param f: the param of interp
:type f: dict
:param t: step of interp
:type t: int
:return: x corrdinate
:rtype: float
"""
return f['a_x'] + f['b_x'] * t + f['c_x'] * t * t + f['d_x'] * t * t * t |
def falling(n, k):
"""Compute the falling factorial of n to depth k.
>>> falling(6, 3) # 6 * 5 * 4
120
>>> falling(4, 3) # 4 * 3 * 2
24
>>> falling(4, 1) # 4
4
>>> falling(4, 0)
1
"""
"*** YOUR CODE HERE ***"
res = 1
while k > 0:
res = res * n
n -=... |
def is_classifier(estimator):
"""
Returns True if the given estimator is (probably) a classifier.
From: https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/base.py#L526
"""
return getattr(estimator, "_estimator_type", None) == "classifier" |
def max_precision(term2rank, total_terms):
"""Computes the MAP (max average precision) over the whole candidate list
Args:
result2rank: A dict of source to ranks of good translation candidates.
total_terms: The expected term count.
Returns:
A dict containing a precision value for e... |
def checksums2dict(checksums: list) -> dict:
"""
Converts a list of checksums to a dict for easier look up of a block
:param checksums: tuple of checksums
:return: dictionary of {checksum: index}
"""
result = {}
for index, checksum in enumerate(checksums):
if checksum not in result:... |
def logistic_rhs(t, x, r=2., k=2.):
"""
RHS evaluation of logistic ODE,
returns
f(t, x) = r * x * (1 - x/k)
"""
return r * x * (1. - x / k) |
def is_callable(value, **kwargs):
"""Indicate whether ``value`` is callable (like a function, method, or class).
:param value: The value to evaluate.
:returns: ``True`` if ``value`` is valid, ``False`` if it is not.
:rtype: :class:`bool <python:bool>`
:raises SyntaxError: if ``kwargs`` contains d... |
def parse_comma_separated_list(value):
"""Parse a comma-separated list.
:param value:
String or list of strings to be parsed and normalized.
:returns:
List of values with whitespace stripped.
:rtype:
list
"""
if not value:
return []
if not isinstance(value, ... |
def dt2str (dt):
"""
Convert a datetime object to a string for display, without microseconds
:param dt: datetime.datetime object, or None
:return: str, or None
"""
if dt is None:
return None
dt = dt.replace(microsecond = 0)
return str(dt) |
def boyer_moore_majority_vote(arr):
"""
My Python implementation of the Boyer-Moore majority vote algorithm
Finds the majority (more than half) element of an input sequence, if it exists
Time complexity: O(n), n = Length of input sequence
Space complexity: O(1)
"""
majority, counter... |
def human_list(l, separator="and"):
"""
Formats a list for human readability.
Parameters
----------
l : sequence
A sequence of strings
separator : string, optional
The word to use between the last two entries. Default:
``"and"``.
Returns
-------
formatted_... |
def decode_extra_length(bits, length):
"""Decode extra bits for a match length symbol."""
if length == 285:
return 258
extra = (length - 257) / 4 - 1
length = length - 254
if extra > 0:
ebits = bits.read(extra)
length = 2**(extra+2) + 3 + (((length + 1) % 4) * (2**extra)) + e... |
def calc_categ_accur(g_truth, predicts):
"""two lists must be same in size, one for ground:truth and another for model predictions,
we keep the function works over lists even if it is a many to one prediction, that is for reusability on
many to many sequence models"""
true_counter = 0
false_c... |
def conv_if_neg(x):
"""Returns abs of x if it's negative"""
if x < 0:
return abs(x), True
return x, False |
def rectangles_intersect(r1, r2, shift1=(0, 0), shift2=(0, 0), extraSize=3):
"""
gets two 4-tuples of integers representing a rectangle in min, max coord-s
optional params. @shifts can be used to move boxes on a larger canvas (2d plane)
@extraSize, forces the rectangles ... |
def bound(value, bound1, bound2):
"""
returns value if value is between bound1 and bound2
otherwise returns bound that is closer to value
"""
if bound1 > bound2:
return min(max(value, bound2), bound1)
else:
return min(max(value, bound1), bound2) |
def eps(i, d, N):
"""
Dispersion; the spacing between levels is d. This is used to compute the energy for the singly occupied levels.
"""
return d*(i - ((N-1)/2)) |
def Hubble_convert(H_0):
"""
Converts the Hubble parameter from km/s/Mpc to Myr^-1
Parameters
----------
H_0 : float
The Hubble parameter in km/s/Mpc.
Returns
-------
result : float
The Hubble parameter in Myr^-1.
"""
result = H_0*1000.0*3.1536*1... |
def get_column(data, index=0):
"""Get a column from a dataset
Parameters:
data: Could be a list of list or a list of dict, etc
Given a = [{"k1":1, "k2":5},{"k1":3, "k2":5},{"k1":2, "k2":5}]
get_column(a, "k1") will get the values of k1
Returns:
list: of values that be... |
def genRunEntryStr(queryId, docId, rank, score, runId):
"""A simple function to generate one run entry.
:param queryId: query id
:param docId: document id
:param rank: entry rank
:param score: entry score
:param runId: run id
"""
return f'{queryId} Q0 {docId} {rank} {score} {r... |
def _one_or_both(a, b):
"""Returns f"{a}\n{b}" if a is truthy, else returns str(b).
"""
if not a:
return str(b)
return f"{a}\n{b}" |
def add(num1: int,num2: int):
"""
Add 2 numbers and provide the result
"""
print("Good Day, World!")
return num1+num2 |
def normalizeCUAddr(addr):
"""
Normalize a cuaddr string by lower()ing it if it's a mailto:, or
removing trailing slash if it's a URL.
@param addr: a cuaddr string to normalize
@return: normalized string
"""
lower = addr.lower()
if lower.startswith("mailto:"):
addr = lower
if... |
def get_author_name(author_id, users, original=False):
"""get the name of the author from the includes
Arguments:
- author_id: the author_id
- users: the users part of the includes
- original:
"""
for user in users:
if ('id' in user and 'username' in user) and (
... |
def edges_to_adj_list(edges):
"""
Transforms a set of edges in an adjacency list (represented as a dictiornary)
For UNDIRECTED graphs, i.e. if v2 in adj_list[v1], then v1 in adj_list[v2]
INPUT:
- edges : a set or list of edges
OUTPUT:
- adj_list: a dictionary with the vertices as ... |
def find_duplicate_number(array):
"""
We know that we will be given a series of numbers [0, n-2] with one extra number (the duplicate number)
so if we take the total sum of series [0, n-2] (arithmetic series sum = n((a1 + an)/2) ) and extract it
from actual sum of the array we we will get the extra numb... |
def is_sorted(arr):
"""
Check if each comparison returns 1 (True)
If any comparison is 0 (False), it should not pass.
"""
# Check if arr isn't None
if arr:
if all(arr[i] <= arr[i + 1] for i in range(len(arr) - 1)):
return True
return False |
def position_shuffle(objs, saved=False):
"""
:param list objs: objects need to be ordered
:param bool saved: True / False
code sample::
position_shuffle( HomeBox.objects.all(), True)
"""
if objs:
for index, obj in enumerate(objs):
if obj.position != index:
... |
def make_numbers_form_list(lis):
"""changes list to number"""
num = ""
i = 0
while i < len(lis):
num += str(lis[i])
i += 1
return int(num) |
def getFibonacciRecursive(n: int) -> int:
"""
Calculate the fibonacci number at position n recursively
"""
a = 0
b = 1
def step(n: int) -> int:
nonlocal a, b
if n <= 0:
return a
a, b = b, a + b
return step(n - 1)
return step(n) |
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