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def get_list_of_encodings() -> list:
"""
Get a list of all implemented encodings.
! Adapt if new encoding is added !
:return: List of all possible encodings
"""
return ['raw', '012', 'onehot', '101'] | 6e0749eb45f85afe4e5c7414e4d23e67335ba2b5 | 709,799 |
def region_to_bin(chr_start_bin, bin_size, chr, start):
"""Translate genomic region to Cooler bin idx.
Parameters:
----------
chr_start_bin : dict
Dictionary translating chromosome id to bin start index
bin_size : int
Size of the bin
chr : str
Chromosome
start : int
Start of the genomic region
"""
return chr_start_bin[chr] + start // bin_size | f17b132048b0ceb4bbf2a87b77327d0d63b3fd64 | 709,800 |
import os
def get_img_name(img_path: str):
"""
Get the name from the image path.
Args:
img_path (str): a/b.jpg or a/b.png ...
Returns:
name (str): a/b.jpg -> b
"""
image_name = os.path.split(img_path)[-1].split('.')[0]
return image_name | 290bcaa133fd414874838f42c2781980954b98ef | 709,801 |
def word_distance(word1, word2):
"""Computes the number of differences between two words.
word1, word2: strings
Returns: integer
"""
assert len(word1) == len(word2)
count = 0
for c1, c2 in zip(word1, word2):
if c1 != c2:
count += 1
return count | b3279744c628f3adc05a28d9ab7cc520744b540c | 709,803 |
def CheckVPythonSpec(input_api, output_api, file_filter=None):
"""Validates any changed .vpython files with vpython verification tool.
Args:
input_api: Bag of input related interfaces.
output_api: Bag of output related interfaces.
file_filter: Custom function that takes a path (relative to client root) and
returns boolean, which is used to filter files for which to apply the
verification to. Defaults to any path ending with .vpython, which captures
both global .vpython and <script>.vpython files.
Returns:
A list of input_api.Command objects containing verification commands.
"""
file_filter = file_filter or (lambda f: f.LocalPath().endswith('.vpython'))
affected_files = input_api.AffectedTestableFiles(file_filter=file_filter)
affected_files = map(lambda f: f.AbsoluteLocalPath(), affected_files)
commands = []
for f in affected_files:
commands.append(input_api.Command(
'Verify %s' % f,
['vpython', '-vpython-spec', f, '-vpython-tool', 'verify'],
{'stderr': input_api.subprocess.STDOUT},
output_api.PresubmitError))
return commands | d6e888b5ce6fec4bbdb35452b3c0572702430c06 | 709,804 |
def make_loc(caller):
"""
turn caller location into a string
"""
# return caller["file"] + ":" + caller["func"] + ":" + caller["line"]
return caller["file"] + ":" + str(caller["line"]) | e0db31ffd5c76636938bfe66184f9a2a6fbca496 | 709,806 |
import difflib
import sys
def diff(file1, file2):
"""
Compare two files, ignoring line end differences
If there are differences, print them to stderr in unified diff format.
@param file1 The full pathname of the first file to compare
@param file2 The full pathname of the second file to compare
@return True if the files are the same, o
"""
with open(file1, 'r') as input1:
with open(file2, 'r') as input2:
diffs = difflib.unified_diff(
input1.read().splitlines(),
input2.read().splitlines()
)
no_diffs = True
for diff in diffs:
no_diffs = False
print(diff, file=sys.stderr)
return no_diffs | 980090001ce265afd736e97396315a6a3b72441e | 709,807 |
def processData(list_pc, imo):
"""
Cette fonction traite les données de getData pour écrire une seule string
prête à être copié dans le csv et qui contient toutes les lignes d'un bateau
"""
str_pc = ''
for i in range(len(list_pc)):
if list_pc[i] == 'Arrival (UTC)':
tab = list_pc[i-1].split(',') # [Port, Country] (good) or [Port, Region, Country] (bad)
if len(tab) == 3:
tab = ['"' + tab[0] + ',' + tab[1].strip() + '"', tab[2]] # [Port+(Region), Country]
str_pc = str_pc + imo + ',' + tab[0] + ',' + tab[1] + ',"' + list_pc[i+1] + '","' + list_pc[i+3] + '","' + list_pc[i+5] + '"\n'
return str_pc | abb9d0a8d9f3f1ed35e4f991a3ac14e51621f104 | 709,808 |
def convertInt(s):
"""Tells if a string can be converted to int and converts it
Args:
s : str
Returns:
s : str
Standardized token 'INT' if s can be turned to an int, s otherwise
"""
try:
int(s)
return "INT"
except:
return s | a0eae31b69d4efcf8f8595e745316ea8622e24b3 | 709,809 |
import torch
def pairwise_distance(A, B):
"""
Compute distance between points in A and points in B
:param A: (m,n) -m points, each of n dimension. Every row vector is a point, denoted as A(i).
:param B: (k,n) -k points, each of n dimension. Every row vector is a point, denoted as B(j).
:return: Matrix with (m, k). And the ele in (i,j) is the distance between A(i) and B(j)
"""
A_square = torch.sum(A * A, dim=1, keepdim=True)
B_square = torch.sum(B * B, dim=1, keepdim=True)
distance = A_square + B_square.t() - 2 * torch.matmul(A, B.t())
return distance | 2142b94f91f9e762d1a8b134fdda4789c564455d | 709,810 |
def get_coaches(soup):
"""
scrape head coaches
:param soup: html
:return: dict of coaches for game
"""
coaches = soup.find_all('tr', {'id': "HeadCoaches"})
# If it picks up nothing just return the empty list
if not coaches:
return coaches
coaches = coaches[0].find_all('td')
return {
'Away': coaches[1].get_text(),
'Home': coaches[3].get_text()
} | 784b355adb885b0eb4f26e72168475e1abbe4d1f | 709,811 |
import os
def save_bedtools(cluster_regions, clusters, assigned_dir):
"""
Given cluster regions file saves all bedtools sanely and returns result
:param cluster_regions:
:return:
"""
for region in cluster_regions:
output_file = "%s.%s.real.BED" % (clusters, region)
cluster_regions[region]['real'] = cluster_regions[region]['real'].sort().saveas(os.path.join(assigned_dir, output_file))
if "rand" not in cluster_regions[region]:
continue
for n_rand in cluster_regions[region]['rand']:
output_file = "%s.%s.rand.%s.BED" % (clusters, region, n_rand)
cluster_regions[region]['rand'][n_rand] = cluster_regions[region]['rand'][n_rand].sort().saveas(os.path.join(assigned_dir, output_file))
return cluster_regions | 5ef6ee5fd56eb3e6c0659b9979defcab6d9acefb | 709,814 |
import random
def about_garble():
"""
about_garble
Returns one of several strings for the about page
"""
garble = ["leverage agile frameworks to provide a robust synopsis for high level overviews.",
"iterate approaches to corporate strategy and foster collaborative thinking to further the overall value proposition.",
"organically grow the holistic world view of disruptive innovation via workplace change management and empowerment.",
"bring to the table win-win survival strategies to ensure proactive and progressive competitive domination.",
"ensure the end of the day advancement, a new normal that has evolved from epistemic management approaches and is on the runway towards a streamlined cloud solution.",
"provide user generated content in real-time will have multiple touchpoints for offshoring."]
return garble[random.randint(0, len(garble) - 1)] | c391891f97a7bc6df5287173aa160713cdfff675 | 709,815 |
def runningSum(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
5% faster
100% less memory
"""
sum = 0
runningSum = [0] * len(nums)
for i in range(len(nums)):
for j in range(i+1):
runningSum[i] += nums[j]
return runningSum | 393849c4aa1d23b15717748066e21abceaf6d5d9 | 709,816 |
def coerce(from_, to, **to_kwargs):
"""
A preprocessing decorator that coerces inputs of a given type by passing
them to a callable.
Parameters
----------
from : type or tuple or types
Inputs types on which to call ``to``.
to : function
Coercion function to call on inputs.
**to_kwargs
Additional keywords to forward to every call to ``to``.
Examples
--------
>>> @preprocess(x=coerce(float, int), y=coerce(float, int))
... def floordiff(x, y):
... return x - y
...
>>> floordiff(3.2, 2.5)
1
>>> @preprocess(x=coerce(str, int, base=2), y=coerce(str, int, base=2))
... def add_binary_strings(x, y):
... return bin(x + y)[2:]
...
>>> add_binary_strings('101', '001')
'110'
"""
def preprocessor(func, argname, arg):
if isinstance(arg, from_):
return to(arg, **to_kwargs)
return arg
return preprocessor | 61ccce8b9ffbec3e76aa9e78face469add28437e | 709,817 |
import os
import logging
def get_module_config_filename():
"""Returns the path of the module configuration file (e.g. 'app.yaml').
Returns:
The path of the module configuration file.
Raises:
KeyError: The MODULE_YAML_PATH environment variable is not set.
"""
module_yaml_path = os.environ['MODULE_YAML_PATH']
logging.info('Using module_yaml_path from env: %s', module_yaml_path)
return module_yaml_path | b46b7d51817b93dd6b5e026b4e8b52503b2b432a | 709,818 |
def Binary(value):
"""construct an object capable of holding a binary (long) string value."""
return value | 2a33d858b23ac2d72e17ea8ede294c5311cb74be | 709,819 |
import configparser
def parse_config_to_dict(cfg_file, section):
""" Reads config file and returns a dict of parameters.
Args:
cfg_file: <String> path to the configuration ini-file
section: <String> section of the configuration file to read
Returns:
cfg: <dict> configuration parameters of 'section' as a dict
"""
cfg = configparser.ConfigParser()
cfg.read(cfg_file)
if cfg.has_section(section):
return dict(cfg.items(section))
else:
print("Section '%s' not found in file %s!" % (section, cfg_file))
return None | 021e3594f3130e502934379c0f5c1ecea228017b | 709,820 |
def FormatRow(Cn, Row, COLSP):
"""
"""
fRow = ""
for i, c in enumerate(Row):
sc = str(c)
lcn = len(Cn[i])
sc = sc[ 0 : min(len(sc), lcn+COLSP-2) ]
fRow += sc + " "*(COLSP+lcn-len(sc))
return fRow | 53d43fc897d1db5ed3c47d6046d90548939b1298 | 709,822 |
from typing import Dict
from typing import Tuple
def _change_relationships(edge: Dict) -> Tuple[bool, bool]:
"""Validate relationship."""
if 'increases' in edge[1]['relation'] or edge[1]['relation'] == 'positive_correlation':
return True, True
elif 'decreases' in edge[1]['relation'] or edge[1]['relation'] == 'negative_correlation':
return True, False
return False, False | b826eb1eb7bd1e7eed7fd8577b5c04d827a75e56 | 709,823 |
def c_str_repr(str_):
"""Returns representation of string in C (without quotes)"""
def byte_to_repr(char_):
"""Converts byte to C code string representation"""
char_val = ord(char_)
if char_ in ['"', '\\', '\r', '\n']:
return '\\' + chr(char_val)
elif (ord(' ') <= char_val <= ord('^') or char_val == ord('_') or
ord('a') <= char_val <= ord('~')):
return chr(char_val)
else:
return '\\x%02x' % char_val
return '"%s"' % ''.join((byte_to_repr(x) for x in str_)) | e7cce729a00a7d2a35addf95eb097a3caa06bedd | 709,824 |
import math
def mag_inc(x, y, z):
"""
Given *x* (north intensity), *y* (east intensity), and *z*
(vertical intensity) all in [nT], return the magnetic inclincation
angle [deg].
"""
h = math.sqrt(x**2 + y**2)
return math.degrees(math.atan2(z, h)) | f4036358625dd9d032936afc373e53bef7c1e6e1 | 709,825 |
def _parse_disambiguate(disambiguatestatsfilename):
"""Parse disambiguation stats from given file.
"""
disambig_stats = [-1, -1, -1]
with open(disambiguatestatsfilename, "r") as in_handle:
header = in_handle.readline().strip().split("\t")
if header == ['sample', 'unique species A pairs', 'unique species B pairs', 'ambiguous pairs']:
disambig_stats_tmp = in_handle.readline().strip().split("\t")[1:]
if len(disambig_stats_tmp) == 3:
disambig_stats = [int(x) for x in disambig_stats_tmp]
return disambig_stats | bb05ec857181f032ae9c0916b4364b772ff7c412 | 709,826 |
def clean_vigenere(text):
"""Convert text to a form compatible with the preconditions imposed by Vigenere cipher."""
return ''.join(ch for ch in text.upper() if ch.isupper()) | d7c3fc656ede6d07d6e9bac84a051581364c63a0 | 709,827 |
def f_score(r: float, p: float, b: int = 1):
"""
Calculate f-measure from recall and precision.
Args:
r: recall score
p: precision score
b: weight of precision in harmonic mean
Returns:
val: value of f-measure
"""
try:
val = (1 + b ** 2) * (p * r) / (b ** 2 * p + r)
except ZeroDivisionError:
val = 0
return val | d12af20e30fd80cb31b2cc119d5ea79ce2507c4b | 709,829 |
import os
def get_all_sub_folders(folder_path):
"""get all sub folders to list
Parameters
----------
folder_path : str
Returns
-------
list
"""
sub_folders = []
for path in os.listdir(folder_path):
full_path = os.path.join(folder_path, path)
if os.path.isdir(full_path):
sub_folders.append(full_path)
return sub_folders | 65afa34dadbf4cdd37ebd7feeab9aca9b03570ad | 709,830 |
def role_generator(role):
"""Closure function returning a role function."""
return lambda *args, **kwargs: role.run(*args, **kwargs) | 35dd1a54cb53a6435633c39608413c2d0b9fe841 | 709,831 |
def in_scope(repository_data):
"""Return whether the given repository is in scope for the configuration.
Keyword arguments:
repository_data -- data for the repository
"""
if "scope" in repository_data["configuration"] and repository_data["configuration"]["scope"] == "all":
return True
# Determine if user has sufficient permissions in the repository to approve the workflow run
return not repository_data["object"].archived and (
repository_data["permissions"] == "write" or repository_data["permissions"] == "admin"
) | 0e521f805f69a1c6f306700680d42fbe76595c3a | 709,832 |
def eval_blocking(lamb, mu, k):
"""Finds the blocking probability of a queue.
Args:
lamb (float): The rate into the queue.
mu (float): The rate out of the queue.
k (int): Maximum number of customers able to be in the queue.
"""
rho = lamb/mu
return rho**k*((1-rho)/(1-rho**(k+1))) | 4c1ea7f5f7984fb24c85a5c1c6c77cdbc2e1e76a | 709,834 |
def identity_show(client, resource_group_name, account_name):
"""
Show the identity for Azure Cognitive Services account.
"""
sa = client.get(resource_group_name, account_name)
return sa.identity if sa.identity else {} | 19018c895f3fdf0b2b79788547bf80a400724336 | 709,835 |
import math
def get_angle(p1, p2):
"""Get the angle between two points."""
return math.atan2(p2[1] - p1[1], p2[0] - p1[0]) | a29ea1ed74a6c071cf314d1c38c6e2f920bd1c3a | 709,836 |
def per_application():
"""
:return:
a seeder function that always returns 1, ensuring at most one delegate is ever spawned
for the entire application.
"""
return lambda msg: 1 | 7ecc568846ab484557e768ad372f4faf85238401 | 709,837 |
import requests
from bs4 import BeautifulSoup
def get_job_information(url):
""" Uses bs4 to grab the information from each job container based on the url.
Parameters
----------
url : str
Career builder url of any job
Returns
------
job_data : dict
Contains Job Name, Company Name, Job Location, Description, Skills and apply link.
"""
website = requests.get(url).text
job_soup = BeautifulSoup(website, 'html.parser')
job_name = "N/A"
try:
job_name = job_soup.select('h2.h3')[0].getText()
except Exception as err:
print(f"The job tile could not be selected properly")
print(err)
print(f'Skipping {url}...')
company_name = "N/A"
try:
company_name = job_soup.select('.data-details > span:nth-child(1)')[0].getText()
except Exception as err:
print(f"The company name could not be selected properly")
print(err)
print(f'Skipping {url}...')
job_location = "N/A"
try:
job_location = job_soup.select('.data-details > span:nth-child(2)')[0].getText()
except Exception as err:
print(f"The location could not be selected properly")
print(err)
print(f'Skipping {url}...')
job_description = job_soup.select('#jdp_description > div.col-2 > div.col.big.col-mobile-full > p')
job_description_2 = job_soup.select('#jdp_description > div:nth-child(1) > div:nth-child(1)')
desc = [ ]
for idx, paragraph in enumerate(job_description):
desc.append(job_description[idx].text)
if len(desc) == 0:
for idx, paragraph in enumerate(job_description_2):
desc.append(job_description_2[idx].text)
job_skills = [ ]
skills_container = job_soup.findAll("div", {"class": "check-bubble"})
for idx, skill in enumerate(skills_container):
job_skills.append(skills_container[idx].text)
job_data = {'Job Title': job_name,
'Company': company_name,
'Location': job_location,
'Description': desc,
'Skills': job_skills,
'Application Url': url}
return job_data | a5c0b53338dbacc7fe0e7c7eb91b66855968af2b | 709,838 |
def simulation_test(**kwargs):
"""Decorate a unit test and mark it as a simulation test.
The arguments provided to this decorator will be passed to
:py:meth:`~reviewbot.tools.testing.testcases.BaseToolTestCase
.setup_simulation_test`.
Args:
**kwargs (dict):
Keyword arguments to pass during setup.
Returns:
callable:
The new unit test function.
"""
def _dec(func):
func.simulation_setup_kwargs = kwargs
return func
return _dec | 56aa51374e66bb765bfc3d4da51e3254d06c0b55 | 709,839 |
def region_filter(annos, annotation):
"""filter for Region annotations.
The 'time' parameter can match either 'time' or 'timeEnd' parameters.
"""
result = []
for anno in annos:
time = annotation.get("time")
timeEnd = annotation.get("timeEnd")
for key in ['text', 'tags']:
if anno.get(key) != annotation.get(key):
continue
if anno.get("regionId") == 0:
continue
if anno.get("time") not in [time, timeEnd]:
continue
result.append(anno)
return result | 3ca4c6ba39d44370b3022f5eb17a25e0e1c9f056 | 709,840 |
import os
import subprocess
import json
def run_flow(command, contents):
"""Run Flow command on a given contents."""
read, write = os.pipe()
os.write(write, str.encode(contents))
os.close(write)
try:
output = subprocess.check_output(
command, stderr=subprocess.STDOUT, stdin=read
)
decoded_output = output.decode("utf-8")
clean_output = decoded_output[decoded_output.find('{"') :]
result = json.loads(clean_output)
os.close(read)
return result
except subprocess.CalledProcessError as err:
raise err | 5621c321d0fb35518aabfb04f0f1b088be2bfa79 | 709,841 |
def social_bonus_count(user, count):
"""Returns True if the number of social bonus the user received equals to count."""
return user.actionmember_set.filter(social_bonus_awarded=True).count() >= count | b2469833f315410df266cd0a9b36933edb1f9ac6 | 709,842 |
def read_labels(labels_path):
"""Reads list of labels from a file"""
with open(labels_path, 'rb') as f:
return [w.strip() for w in f.readlines()] | 3ebc61c76dd1ae83b73aa8b77584661c08a51321 | 709,844 |
def _gcs_uri_rewriter(raw_uri):
"""Rewrite GCS file paths as required by the rewrite_uris method.
The GCS rewriter performs no operations on the raw_path and simply returns
it as the normalized URI. The docker path has the gs:// prefix replaced
with gs/ so that it can be mounted inside a docker image.
Args:
raw_uri: (str) the raw GCS URI, prefix, or pattern.
Returns:
normalized: a cleaned version of the uri provided by command line.
docker_path: the uri rewritten in the format required for mounting inside
a docker worker.
"""
docker_path = raw_uri.replace('gs://', 'gs/', 1)
return raw_uri, docker_path | 6e476860cb175dd2936cc0c080d3be1d09e04b77 | 709,845 |
def remove_apostrophe(text):
"""Remove apostrophes from text"""
return text.replace("'", " ") | c7d918e56646a247564a639462c4f4d26bb27fc4 | 709,846 |
def generate_initials(text):
"""
Extract initials from a string
Args:
text(str): The string to extract initials from
Returns:
str: The initials extracted from the string
"""
if not text:
return None
text = text.strip()
if text:
split_text = text.split(" ")
if len(split_text) > 1:
return (split_text[0][0] + split_text[-1][0]).upper()
else:
return split_text[0][0].upper()
return None | 709e53392c790585588da25290a80ab2d19309f8 | 709,847 |
def part_allocation_count(build, part, *args, **kwargs):
""" Return the total number of <part> allocated to <build> """
return build.getAllocatedQuantity(part) | 84c94ca4e1b1006e293851189d17f63fc992b420 | 709,848 |
import itertools
import os
def count_frames(directory):
"""
counts the number of consecutive pickled frames in directory
Args:
directory: str of directory
Returns:
0 for none, otherwise >0
"""
for i in itertools.count(start=0):
pickle_file = os.path.join(directory, f"{str(i).zfill(12)}.pickle")
if not os.path.isfile(pickle_file):
return i | 94df6183e34a5d498493f20c03b00346bc38c50f | 709,849 |
def __parse_sql(sql_rows):
"""
Parse sqlite3 databse output. Modify this function if you have a different
database setup. Helper function for sql_get().
Parameters:
sql_rows (str): output from SQL SELECT query.
Returns:
dict
"""
column_names = ['id', 'requester', 'item_name', 'custom_name',
'quantity', 'crafting_discipline', 'special_instruction',
'status', 'rarity', 'resource_provided', 'pub-date', 'crafter', 'stats']
request_dict = {str(row[0]): {column_names[i]: row[i] for i,_ in enumerate(column_names)} for row in sql_rows}
return request_dict | 09c61da81af069709dd020b8643425c4c6964137 | 709,850 |
import json
def load_default_data() -> dict[str, str]:
"""Finds and opens a .json file with streamer data.
Reads from the file and assigns the data to streamer_list.
Args:
None
Returns:
A dict mapping keys (Twitch usernames) to their corresponding URLs.
Each row is represented as a seperate streamer. For example:
{
"GMHikaru":"https://www.twitch.tv/GMHikaru"
}
"""
with open("statum\static\streamers.json", "r") as default_streamers:
streamer_list: dict[str, str] = json.load(default_streamers)
default_streamers.close()
return streamer_list | bfeef64922fb4144228e031b9287c06525c4254d | 709,851 |
def get_value_key(generator, name):
"""
Return a key for the given generator and name pair.
If name None, no key is generated.
"""
if name is not None:
return f"{generator}+{name}"
return None | 0ad630299b00a23d029ea15543982125b792ad53 | 709,852 |
import sys
def check_if_string(data):
"""
Takes a data as argument and checks if the provided argument is an
instance of string or not
Args:
data: Data to check for.
Returns:
result: Returns a boolean if the data provided is instance or not
"""
if sys.version_info[0] == 2:
return isinstance(data, basestring)
else:
return isinstance(data, str) | 403aabfde1c0d2f3c1ec4610cf83a4abe644acdb | 709,853 |
def int_to_bigint(value):
"""Convert integers larger than 64 bits to bytearray
Smaller integers are left alone
"""
if value.bit_length() > 63:
return value.to_bytes((value.bit_length() + 9) // 8, 'little', signed=True)
return value | 0f2d64887dc15d1902b8e10b0257a187ed75187f | 709,854 |
import argparse
import sys
def cmd_line_parser():
"""
This function parses the command line parameters and arguments
"""
parser = argparse.ArgumentParser(usage="python " + sys.argv[0] + " [-h] [passive/active] -d [Domain] [Options]", epilog='\tExample: \r\npython ' + sys.argv[0] + " passive -d baidu.com -o html")
parser._optionals.title = "OPTIONS"
parser._positionals.title = "POSITION OPTIONS"
parser.add_argument("scan_model", type=str, help="active or passive")
# active part
active = parser.add_argument_group("active", "active scan configuration options")
active.add_argument("-x", "--xxxxx", dest="load_config_file", default=False, action="store_true",
help="xxxxxxxxxxxx")
# passive part
passive = parser.add_argument_group("passive", "passive scan configuration options")
passive.add_argument("-w", "--word-list", default=False, help="Custom brute force dictionary path")
# other
parser.add_argument("-d", "--domain", dest="domain", default=False, help="Target to scan")
parser.add_argument("-m", "--multi-domain", dest="domains_file", default=False, help="Multi Target to scan")
parser.add_argument("-o", "--format", default=False, help="The format of the output file")
if len(sys.argv) == 1:
sys.argv.append("-h")
return parser.parse_args() | b00ed099de4f2db3c66367e07278c9c0c67f3633 | 709,855 |
def CSourceForElfSymbolTable(variable_prefix, names, str_offsets):
"""Generate C source definition for an ELF symbol table.
Args:
variable_prefix: variable name prefix
names: List of symbol names.
str_offsets: List of symbol name offsets in string table.
Returns:
String containing C source fragment.
"""
out = (
r'''// NOTE: ELF32_Sym and ELF64_Sym have very different layout.
#if UINTPTR_MAX == UINT32_MAX // ELF32_Sym
# define DEFINE_ELF_SYMBOL(name, name_offset, address, size) \
{ (name_offset), (address), (size), ELF_ST_INFO(STB_GLOBAL, STT_FUNC), \
0 /* other */, 1 /* shndx */ },
#else // ELF64_Sym
# define DEFINE_ELF_SYMBOL(name, name_offset, address, size) \
{ (name_offset), ELF_ST_INFO(STB_GLOBAL, STT_FUNC), \
0 /* other */, 1 /* shndx */, (address), (size) },
#endif // !ELF64_Sym
''')
out += 'static const ELF::Sym k%sSymbolTable[] = {\n' % variable_prefix
out += ' { 0 }, // ST_UNDEF\n'
out += ' LIST_ELF_SYMBOLS_%s(DEFINE_ELF_SYMBOL)\n' % variable_prefix
out += '};\n'
out += '#undef DEFINE_ELF_SYMBOL\n'
return out | 233c55815cf5b72092d3c60be42caffc95570c22 | 709,856 |
def perdidas (n_r,n_inv,n_x,**kwargs):
"""Calcula las perdidas por equipos"""
n_t=n_r*n_inv*n_x
for kwargs in kwargs:
n_t=n_t*kwargs
return n_t | 157825059ad192ba90991bff6206b289755ce0ba | 709,858 |
def get_user(isamAppliance, user):
"""
Get permitted features for user
NOTE: Getting an unexplained error for this function, URL maybe wrong
"""
return isamAppliance.invoke_get("Get permitted features for user",
"/authorization/features/users/{0}/v1".format(user)) | 0b2fd6c58e2623f8400daa942c83bd0757edd21f | 709,859 |
def wordcount_for_reddit(data, search_word):
"""Return the number of times a word has been used."""
count = 0
for result in data: # do something which each result from scrape
for key in result:
stringed_list = str(result[key])
text_list = stringed_list.split()
for word in text_list:
if search_word == 'Go':
if word == search_word:
count += 1
elif word.lower() == search_word.lower():
count += 1
return count | b0967aa896191a69cd1b969589b34522299ff415 | 709,860 |
def calc_precision(gnd_assignments, pred_assignments):
"""
gnd_clusters should be a torch tensor of longs, containing
the assignment to each cluster
assumes that cluster assignments are 0-based, and no 'holes'
"""
precision_sum = 0
assert len(gnd_assignments.size()) == 1
assert len(pred_assignments.size()) == 1
assert pred_assignments.size(0) == gnd_assignments.size(0)
N = gnd_assignments.size(0)
K_gnd = gnd_assignments.max().item() + 1
K_pred = pred_assignments.max().item() + 1
for k_pred in range(K_pred):
mask = pred_assignments == k_pred
gnd = gnd_assignments[mask.nonzero().long().view(-1)]
max_intersect = 0
for k_gnd in range(K_gnd):
intersect = (gnd == k_gnd).long().sum().item()
max_intersect = max(max_intersect, intersect)
precision_sum += max_intersect
precision = precision_sum / N
return precision | 536e25aa8e3b50e71beedaab3f2058c79d9957e3 | 709,861 |
def __get_app_package_path(package_type, app_or_model_class):
"""
:param package_type:
:return:
"""
models_path = []
found = False
if isinstance(app_or_model_class, str):
app_path_str = app_or_model_class
elif hasattr(app_or_model_class, '__module__'):
app_path_str = app_or_model_class.__module__
else:
raise RuntimeError('Unable to get module path.')
for item in app_path_str.split('.'):
if item in ['models', 'admin']:
models_path.append(package_type)
found = True
break
else:
models_path.append(item)
if not found:
models_path.append(package_type)
return '.'.join(models_path) | f08685ef47af65c3e74a76de1f64eb509ecc17b9 | 709,862 |
def convert_where_clause(clause: dict) -> str:
"""
Convert a dictionary of clauses to a string for use in a query
Parameters
----------
clause : dict
Dictionary of clauses
Returns
-------
str
A string representation of the clauses
"""
out = "{"
for key in clause.keys():
out += "{}: ".format(key)
#If the type of the right hand side is string add the string quotes around it
if type(clause[key]) == str:
out += '"{}"'.format(clause[key])
else:
out += "{}".format(clause[key])
out += ","
out += "}"
return out | 8b135c799df8d16c116e6a5282679ba43a054684 | 709,863 |
def truncate_string(string: str, max_length: int) -> str:
"""
Truncate a string to a specified maximum length.
:param string: String to truncate.
:param max_length: Maximum length of the output string.
:return: Possibly shortened string.
"""
if len(string) <= max_length:
return string
else:
return string[:max_length] | c7d159feadacae5a692b1f4d95da47a25dd67c16 | 709,864 |
def negative_height_check(height):
"""Check the height return modified if negative."""
if height > 0x7FFFFFFF:
return height - 4294967296
return height | 4d319021f9e1839a17b861c92c7319ad199dfb42 | 709,865 |
import requests
def get_now(pair):
"""
Return last info for crypto currency pair
:param pair: ex: btc-ltc
:return:
"""
info = {'marketName': pair, 'tickInterval': 'oneMin'}
return requests.get('https://bittrex.com/Api/v2.0/pub/market/GetLatestTick', params=info).json() | b5db7ba5c619f8369c052a37e010229db7f78186 | 709,866 |
def hsv(h: float, s: float, v: float) -> int:
"""Convert HSV to RGB.
:param h: Hue (0.0 to 1.0)
:param s: Saturation (0.0 to 1.0)
:param v: Value (0.0 to 1.0)
"""
return 0xFFFF | 638c1784f54ee51a3b7439f15dab45053a8c3099 | 709,867 |
def clamp(minVal, val, maxVal):
"""Clamp a `val` to be no lower than `minVal`, and no higher than `maxVal`."""
return max(minVal, min(maxVal, val)) | 004b9a393e69ca30f925da4cb18a8f93f12aa4ef | 709,868 |
from functools import reduce
import operator
def product(numbers):
"""Return the product of the numbers.
>>> product([1,2,3,4])
24
"""
return reduce(operator.mul, numbers, 1) | 102ac352025ffff64a862c4c5ccbdbc89bdf807e | 709,869 |
def solution(N):
"""
This is a fairly simple task.
What we need to do is:
1. Get string representation in binary form (I love formatted string literals)
2. Measure biggest gap of zeroes (pretty self explanatory)
"""
# get binary representation of number
binary_repr = f"{N:b}"
# initialise counters
current_gap, max_gap = 0, 0
for b in binary_repr:
# end of gap, update max
if b == '1':
max_gap = max(current_gap, max_gap)
current_gap = 0
# increase gap counter
else:
current_gap += 1
return max_gap | 54b9dffe219fd5d04e9e3e3b07e4cb0120167a6f | 709,870 |
def meta_caption(meta) -> str:
"""makes text from metadata for captioning video"""
caption = ""
try:
caption += meta.title + " - "
except (TypeError, LookupError, AttributeError):
pass
try:
caption += meta.artist
except (TypeError, LookupError, AttributeError):
pass
return caption | 6ef117eb5d7a04adcee25a755337909bfe142014 | 709,871 |
def notNone(arg,default=None):
""" Returns arg if not None, else returns default. """
return [arg,default][arg is None] | 71e6012db54b605883491efdc389448931f418d0 | 709,872 |
def transform_and_normalize(vecs, kernel, bias):
"""应用变换，然后标准化
"""
if not (kernel is None or bias is None):
vecs = (vecs + bias).dot(kernel)
return vecs / (vecs**2).sum(axis=1, keepdims=True)**0.5 | bb32cd5c74df7db8d4a6b6e3ea211b0c9b79db47 | 709,873 |
def swap_flies(dataset, indices, flies1=0, flies2=1):
"""Swap flies in dataset.
Caution: datavariables are currently hard-coded!
Caution: Swap *may* be in place so *might* will alter original dataset.
Args:
dataset ([type]): Dataset for which to swap flies
indices ([type]): List of indices at which to swap flies.
flies1 (int or list/tuple, optional): Either a single value for all indices or a list with one value per item in indices. Defaults to 0.
flies2 (int or list/tuple, optional): Either a single value for all indices or a list with one value per item in indices. Defaults to 1.
Returns:
dataset with swapped indices ()
"""
for cnt, index in enumerate(indices):
if isinstance(flies1, (list, tuple)) and isinstance(flies2, (list, tuple)):
fly1, fly2 = flies1[cnt], flies2[cnt]
else:
fly1, fly2 = flies1, flies2
if 'pose_positions_allo' in dataset:
dataset.pose_positions_allo.values[index:, [fly2, fly1], ...] = dataset.pose_positions_allo.values[index:, [fly1, fly2], ...]
if 'pose_positions' in dataset:
dataset.pose_positions.values[index:, [fly2, fly1], ...] = dataset.pose_positions.values[index:, [fly1, fly2], ...]
if 'body_positions' in dataset:
dataset.body_positions.values[index:, [fly2, fly1], ...] = dataset.body_positions.values[index:, [fly1, fly2], ...]
return dataset | 1f1941d8d6481b63efd1cc54fcf13f7734bccf8b | 709,874 |
import traceback
import os
def format_exception_with_frame_info(e_type, e_value, e_traceback, shorten_filenames=False):
"""Need to suppress thonny frames to avoid confusion"""
_traceback_message = "Traceback (most recent call last):\n"
_cause_message = getattr(
traceback,
"_cause_message",
("\nThe above exception was the direct cause " + "of the following exception:") + "\n\n",
)
_context_message = getattr(
traceback,
"_context_message",
("\nDuring handling of the above exception, " + "another exception occurred:") + "\n\n",
)
def rec_format_exception_with_frame_info(etype, value, tb, chain=True):
# Based on
# https://www.python.org/dev/peps/pep-3134/#enhanced-reporting
# and traceback.format_exception
if etype is None:
etype = type(value)
if tb is None:
tb = value.__traceback__
if chain:
if value.__cause__ is not None:
yield from rec_format_exception_with_frame_info(None, value.__cause__, None)
yield (_cause_message, None, None, None)
elif value.__context__ is not None and not value.__suppress_context__:
yield from rec_format_exception_with_frame_info(None, value.__context__, None)
yield (_context_message, None, None, None)
if tb is not None:
yield (_traceback_message, None, None, None)
tb_temp = tb
for entry in traceback.extract_tb(tb):
assert tb_temp is not None # actual tb doesn't end before extract_tb
if "cpython_backend" not in entry.filename and (
not entry.filename.endswith(os.sep + "ast.py")
or entry.name != "parse"
or etype is not SyntaxError
):
fmt = ' File "{}", line {}, in {}\n'.format(
entry.filename, entry.lineno, entry.name
)
if entry.line:
fmt += " {}\n".format(entry.line.strip())
yield (fmt, id(tb_temp.tb_frame), entry.filename, entry.lineno)
tb_temp = tb_temp.tb_next
assert tb_temp is None # tb was exhausted
for line in traceback.format_exception_only(etype, value):
if etype is SyntaxError and line.endswith("^\n"):
# for some reason it may add several empty lines before ^-line
partlines = line.splitlines()
while len(partlines) >= 2 and partlines[-2].strip() == "":
del partlines[-2]
line = "\n".join(partlines) + "\n"
yield (line, None, None, None)
items = rec_format_exception_with_frame_info(e_type, e_value, e_traceback)
return list(items) | f698739f88271bc6c15554be3750bc550f5102a7 | 709,875 |
import subprocess
def get_volumes(fn):
"""Return number of volumes in nifti"""
return int(subprocess.check_output(['fslnvols', fn])) | 67596f0583295f837197e20dd95b1c04fe705ea4 | 709,876 |
import socket
def find_available_port():
"""Find an available port.
Simple trick: open a socket to localhost, see what port was allocated.
Could fail in highly concurrent setups, though.
"""
s = socket.socket()
s.bind(('localhost', 0))
_address, port = s.getsockname()
s.close()
return port | 1d81ff79fa824bc8b38c121a632890973f0639ea | 709,877 |
import hashlib
def calculate_hash(filepath, hash_name):
"""Calculate the hash of a file. The available hashes are given by the hashlib module. The available hashes can be listed with hashlib.algorithms_available."""
hash_name = hash_name.lower()
if not hasattr(hashlib, hash_name):
raise Exception('Hash algorithm not available : {}'\
.format(hash_name))
with open(filepath, 'rb') as f:
checksum = getattr(hashlib, hash_name)()
for chunk in iter(lambda: f.read(4096), b''):
checksum.update(chunk)
return checksum.hexdigest() | 975fe0a2a4443ca3abc67ed950fb7200409f2497 | 709,878 |
def default_mp_value_parameters():
"""Set the different default parameters used for mp-values.
Returns
-------
dict
A default parameter set with keys: rescale_pca (whether the PCA should be
scaled by variance explained) and nb_permutations (how many permutations to
calculate empirical p-value). Defaults to True and 100, respectively.
"""
params = {"rescale_pca": True, "nb_permutations": 100}
return params | 0dcac3981154fbf0cc1fa0eeed6e83a1e1b63294 | 709,879 |
def deep_copy(obj):
"""Make deep copy of VTK object."""
copy = obj.NewInstance()
copy.DeepCopy(obj)
return copy | c00c4ff44dad5c0c018152f489955f08e633f5ed | 709,880 |
def loss_calc(settings, all_batch, market_batch):
""" Calculates nn's NEGATIVE loss.
Args:
settings: contains the neural net
all_batch: the inputs to neural net
market_batch: [open close high low] used to calculate loss
Returns:
cost: loss - l1 penalty
"""
loss = settings['nn'].loss_np(all_batch, market_batch)
return -loss | fdca1bb0fa86d1972c2a0f8b1fab10183e98fb4e | 709,881 |
def group_result(result, func):
"""
:param result: A list of rows from the database: e.g. [(key, data1), (key, data2)]
:param func: the function to reduce the data e.g. func=median
:return: the data that is reduced. e.g. [(key, (data1+data2)/2)]
"""
data = {}
for key, value in result:
if key in data.keys():
data[key].append(value)
else:
data[key] = [value]
for key in data:
data[key] = func(data[key])
return data.items() | 7687521c216210badcda5ee54bd59a3bc6a234bd | 709,883 |
import os
def cleanup_path(paths, removedir=True):
""" remove unreable files and directories from the input path collection,
skipped include two type of elements: unwanted directories if removedir is True
or unaccessible files/directories
"""
checked = []
skipped = []
for ele in paths:
ele = os.path.abspath(ele)
if os.path.exists(ele) and os.access(ele, os.R_OK):
if os.path.isdir(ele) and removedir:
skipped.append(ele)
else:
checked.append(ele)
else:
skipped.append(ele)
return checked, skipped | 36105a4617ea0cfffc870dd083540f81aaf56079 | 709,884 |
import os
import glob
def _findPlugInfo(rootDir):
""" Find every pluginInfo.json files below the root directory.
:param str rootDir: the search start from here
:return: a list of files path
:rtype: [str]
"""
files = []
for root, dirnames, filenames in os.walk(rootDir):
files.extend(glob.glob(root + '/plugInfo.json'))
return files | d3367d8f71598d1fa1303baec0d4f6803b1293b2 | 709,885 |
import os
import fnmatch
def rec_search(wildcard):
"""
Traverse all subfolders and match files against the wildcard.
Returns:
A list of all matching files absolute paths.
"""
matched = []
for dirpath, _, files in os.walk(os.getcwd()):
fn_files = [os.path.join(dirpath, fn_file) for fn_file
in fnmatch.filter(files, wildcard)]
matched.extend(fn_files)
return matched | 47e8bd48956de87a72c996795f94b69979bf992f | 709,886 |
import os
def get_username():
"""Return username
Return a useful username even if we are running under HT-Condor.
Returns
-------
str : username
"""
batch_system = os.environ.get('BATCH_SYSTEM')
if batch_system == 'HTCondor':
return os.environ.get('USER', '*Unknown user*')
return os.getlogin() | 1e199e7e38ed6532253ee1f7f229bb1baffc5538 | 709,888 |
def matrix2list(mat):
"""Create list of lists from blender Matrix type."""
return list(map(list, list(mat))) | 9b4b598eb33e4d709e15fd826f23d06653659318 | 709,890 |
def convert_handle(handle):
"""
Takes string handle such as 1: or 10:1 and creates a binary number accepted
by the kernel Traffic Control.
"""
if isinstance(handle, str):
major, minor = handle.split(':') # "major:minor"
minor = minor if minor else '0'
return int(major, 16) << 16 | int(minor, 16)
return handle | ed4ef5107178bd809a421e0b66c621d9bdaceef1 | 709,891 |
def get_height(img):
"""
Returns the number of rows in the image
"""
return len(img) | 765babc9fbc1468ef5045fa925843934462a3d32 | 709,893 |
def wpt_ask_for_name_and_coords():
"""asks for name and coordinates of waypoint that should be created"""
name = input("Gib den Namen des Wegpunkts ein: ")
print("Gib die Koordinaten ein (Format: X XX°XX.XXX, X XXX°XX.XXX)")
coordstr = input(">> ")
return name, coordstr | d38a728c5a6ecd1fde9500175ea5895ade8c6880 | 709,894 |
def sum_squares(n):
"""
Returns: sum of squares from 1 to n-1
Example: sum_squares(5) is 1+4+9+16 = 30
Parameter n: The number of steps
Precondition: n is an int > 0
"""
# Accumulator
total = 0
for x in range(n):
total = total + x*x
return total | 669a5aa03a9d9a9ffe74e48571250ffa38a7d319 | 709,895 |
def froc_curve_per_side(df_gt, df_pred, thresholds, verbose, cases="all"):
"""
Compute FROC curve per side/breast. All lesions in a breast are considered TP if
any lesion in that breast is detected.
"""
assert cases in ["all", "cancer", "benign"]
if not cases == "all":
df_exclude = df_gt[~(df_gt["Class"] == cases)]
df_gt = df_gt[df_gt["Class"] == cases]
df_pred = df_pred[~(df_pred["StudyUID"].isin(set(df_exclude["StudyUID"])))]
df_gt["Side"] = df_gt["View"].astype(str).str[0]
df_pred["Side"] = df_pred["View"].astype(str).str[0]
total_volumes = len(df_pred.drop_duplicates(subset=["StudyUID", "View"]))
total_tps = len(df_gt.drop_duplicates(subset=["PatientID", "Side"]))
tpr = []
fps = []
if verbose:
print("{} cases FROC:".format(cases.upper()))
for th in sorted(thresholds, reverse=True):
df_th = df_pred[df_pred["Score"] >= th]
df_th_unique_tp = df_th.drop_duplicates(subset=["PatientID", "Side", "TP"])
num_tps_th = float(sum(df_th_unique_tp["TP"]))
tpr_th = num_tps_th / total_tps
num_fps_th = float(len(df_th[df_th["TP"] == 0]))
fps_th = num_fps_th / total_volumes
tpr.append(tpr_th)
fps.append(fps_th)
if verbose:
print(
"Sensitivity {0:.2f} at {1:.2f} FPs/volume (threshold: {2:.4f})".format(
tpr_th * 100, fps_th, th
)
)
return tpr, fps | 6a113856a920f775be3ce652fa09d9d79fb9be00 | 709,897 |
import platform
def check_platform():
"""
str returned
"""
return platform.system() | 73e813c55807e7d84517cb7ce51ce9db34e42c23 | 709,898 |
def save(self, fname="", ext="", slab="", **kwargs):
"""Saves all current database information.
APDL Command: SAVE
Parameters
----------
fname
File name and directory path (248 characters maximum,
including the characters needed for the directory path).
An unspecified directory path defaults to the working
directory; in this case, you can use all 248 characters
for the file name.
ext
Filename extension (eight-character maximum).
slab
Mode for saving the database:
ALL - Save the model data, solution data and post data
(element tables, etc.). This value is the default.
MODEL - Save the model data (solid model, finite element
model, loadings, etc.) only.
SOLU - Save the model data and the solution data (nodal
and element results).
Notes
-----
Saves all current database information to a file (File.DB).
In interactive mode, an existing File.DB is first written to a
backup file (File.DBB). In batch mode, an existing File.DB is
replaced by the current database information with no backup.
The command should be issued periodically to ensure a current
file backup in case of a system "crash" or a "line drop." It
may also be issued before a "doubtful" command so that if the
result is not what was intended the database may be easily
restored to the previous state. A save may be time consuming
for large models. Repeated use of this command overwrites the
previous data on the file (but a backup file is first written
during an interactive run). When issued from within POST1,
the nodal boundary conditions in the database (which were read
from the results file) will overwrite the nodal boundary
conditions existing on the database file.
Internal nodes may be created during solution (for example,
via the mixed u-P formulation or generalized plane strain
option for current- technology elements, the Lagrangian
multiplier method for contact elements or the MPC184 elements,
or the quadratic or cubic option of the BEAM188 and PIPE288
elements). It is sometimes necessary to save the internal
nodes in the database for later operations, such as cutting
boundary interpolations (CBDOF) for submodeling. To do so,
issue the SAVE command after the first SOLVE command.
In general, saving after solving is always a good practice.
This command is valid in any processor.
"""
return self.run(f"SAVE,{fname},{ext},,{slab}", **kwargs) | ddc79dc0f54e32d6cd96e115ad9842c1689c17b1 | 709,900 |
def _token_text(token):
"""Helper to get the text of a antlr token w/o the <EOF>"""
istream = token.getInputStream()
if istream is None:
return token.text
n = istream.size
if token.start >= n or token.stop >= n:
return []
return token.text | 0821c44eea9dfc229034bebc45211f8e6336c552 | 709,901 |
def get_dict_or_generate(dictionary, key, generator):
"""Get value from dict or generate one using a function on the key"""
if key in dictionary:
return dictionary[key]
value = generator(key)
dictionary[key] = value
return value | e31cd2b6661cf45e5345ce57d1e628174e6fd732 | 709,902 |
def createNotInConfSubGraph(graphSet, possibleSet):
"""
Return a subgraph by removing all incoming
edges to nodes in the possible set.
"""
subGraph = {}
for i in graphSet:
subGraph[i] = graphSet[i] - possibleSet
return subGraph | d3cbee9049416d7ff865306713e9a12f26717fae | 709,903 |
import random
def get_random_instance() -> random.Random:
"""
Returns the Random instance in the random module level.
"""
return random._inst | ee66055275153ce8c3eae67eade6e32e50fe1d79 | 709,904 |
import cgitb
def FormatException(exc_info):
"""Gets information from exception info tuple.
Args:
exc_info: exception info tuple (type, value, traceback)
Returns:
exception description in a list - wsgi application response format.
"""
return [cgitb.handler(exc_info)] | 733c2170a08f9880f8c191c1c6a52ee1ab455b7f | 709,905 |
def _infer_added_params(kw_params):
"""
Infer values for proplot's "added" parameters from stylesheets.
"""
kw_proplot = {}
mpl_to_proplot = {
'font.size': ('tick.labelsize',),
'axes.titlesize': (
'abc.size', 'suptitle.size', 'title.size',
'leftlabel.size', 'rightlabel.size',
'toplabel.size', 'bottomlabel.size',
),
'text.color': (
'abc.color', 'suptitle.color', 'tick.labelcolor', 'title.color',
'leftlabel.color', 'rightlabel.color',
'toplabel.color', 'bottomlabel.color',
),
}
for key, params in mpl_to_proplot.items():
if key in kw_params:
value = kw_params[key]
for param in params:
kw_proplot[param] = value
return kw_proplot | fec171caef3562344ee86684edc944b0d08af3f3 | 709,906 |
def rename_to_monet_latlon(ds):
"""Short summary.
Parameters
----------
ds : type
Description of parameter `ds`.
Returns
-------
type
Description of returned object.
"""
if "lat" in ds.coords:
return ds.rename({"lat": "latitude", "lon": "longitude"})
elif "Latitude" in ds.coords:
return ds.rename({"Latitude": "latitude", "Longitude": "longitude"})
elif "Lat" in ds.coords:
return ds.rename({"Lat": "latitude", "Lon": "longitude"})
elif "grid_lat" in ds.coords:
return ds.rename({"grid_lat": "latitude", "grid_lon": "longitude"})
else:
return ds | 18647e3bbf82bae9d02db3e965c0ddfd51ddd6dd | 709,907 |
def get_smallerI(x, i):
"""Return true if string x is smaller or equal to i. """
if len(x) <= i:
return True
else:
return False | 1588ef998f4914aa943a063546112766060a9cbf | 709,908 |
def unfold(raw_log_line):
"""Take a raw syslog line and unfold all the multiple levels of
newline-escaping that have been inflicted on it by various things.
Things that got python-repr()-ized, have '\n' sequences in them.
Syslog itself looks like it uses #012.
"""
lines = raw_log_line \
.replace('#012', '\n') \
.replace('\\n', '\n') \
.splitlines()
return lines | 9e23bdd82ac15086468a383a1ef98989aceee25e | 709,909 |
def helperFunction():
"""A helper function created to return a value to the test."""
value = 10 > 0
return value | 2c4f2e5303aca2a50648860de419e8f94581fee7 | 709,910 |
from datetime import datetime
def ts(timestamp_string: str):
"""
Convert a DataFrame show output-style timestamp string into a datetime value
which will marshall to a Hive/Spark TimestampType
:param timestamp_string: A timestamp string in "YYYY-MM-DD HH:MM:SS" format
:return: A datetime object
"""
return datetime.strptime(timestamp_string, '%Y-%m-%d %H:%M:%S') | 1902e75ab70c7869686e3a374b22fa80a6dfcf1a | 709,911 |
def nl_to_break( text ):
"""
Text may have newlines, which we want to convert to <br />
when formatting for HTML display
"""
text=text.replace("<", "<") # To avoid HTML insertion
text=text.replace("\r", "")
text=text.replace("\n", "<br />")
return text | d2baf1c19fae686ae2c4571416b4cad8be065474 | 709,912 |
import requests
import logging
def get_page_state(url):
"""
Checks page's current state by sending HTTP HEAD request
:param url: Request URL
:return: ("ok", return_code: int) if request successful,
("error", return_code: int) if error response code,
(None, error_message: str) if page fetching failed (timeout, invalid URL, ...)
"""
try:
response = requests.head(url, verify=False, timeout=10)
except requests.exceptions.RequestException as exception:
logging.error(exception)
return None, "Error fetching page"
if response.status_code >= 400:
return "error", response.status_code
return "ok", response.status_code | f7b7db656968bed5e5e7d332725e4d4707f2b14b | 709,913 |
Subsets and Splits