code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function create_connection self alias=string default **kwargs
begin
string Construct an instance of ``elasticsearch.Elasticsearch`` and register it under given alias.
set default kwargs string serializer serializer
set conn = call Elasticsearch keyword kwargs
set _conns at alias = call Elasticsearch keyword kwargs
retu... | def create_connection(self, alias='default', **kwargs):
"""
Construct an instance of ``elasticsearch.Elasticsearch`` and register
it under given alias.
"""
kwargs.setdefault('serializer', serializer)
conn = self._conns[alias] = Elasticsearch(**kwargs)
return conn | Python | jtatman_500k |
function _enable_os_kit_component self kit comp_name comp_version software_profile
begin
return call _add_component_to_software_profile kit comp_name comp_version software_profile
end function | def _enable_os_kit_component(self, kit, comp_name, comp_version,
software_profile):
return self._add_component_to_software_profile(
kit, comp_name, comp_version, software_profile) | Python | nomic_cornstack_python_v1 |
comment re.match # 从第0位开始匹配字符串,匹配完成立刻结束,会忽略. 相当于匹配开头
comment re.search # 搜索整个字符串进行匹配, 相当于匹配包含
comment re.findall # 检索整个字符串进行匹配,返回一个列表
import re
set result = match string \d[a-z] string ......3d
comment None 从第0位开始匹配,一旦失败立刻返回None
print result
comment 搜索匹配
set result = search string \d[a-z] string .....3d
comment <re.Mat... | # re.match # 从第0位开始匹配字符串,匹配完成立刻结束,会忽略. 相当于匹配开头
# re.search # 搜索整个字符串进行匹配, 相当于匹配包含
# re.findall # 检索整个字符串进行匹配,返回一个列表
import re
result = re.match(r"\d[a-z]","......3d")
print(result) # None 从第0位开始匹配,一旦失败立刻返回None
result = re.search(r"\d[a-z]",".....3d") # 搜索匹配
print... | Python | zaydzuhri_stack_edu_python |
function start_unstarted_cycles
begin
set workflows = call _get_unstarted_workflows
for workflow in workflows
begin
set tasks_start_days = list comprehension relative_start_day for tg in task_groups for task in task_group_tasks
set tasks_end_days = list comprehension relative_end_day for tg in task_groups for task in t... | def start_unstarted_cycles():
workflows = _get_unstarted_workflows()
for workflow in workflows:
tasks_start_days = [task.relative_start_day
for tg in workflow.task_groups
for task in tg.task_group_tasks]
tasks_end_days = [task.relative_end_day
... | Python | nomic_cornstack_python_v1 |
comment !/bin/python3
import math
import os
import random
import re
import sys
from collections import defaultdict
comment Complete the minimumSwaps function below.
string https://www.hackerrank.com/challenges/minimum-swaps-2/problem?h_l=interview&playlist_slugs%5B%5D=interview-preparation-kit&playlist_slugs%5B%5D=arra... | #!/bin/python3
import math
import os
import random
import re
import sys
from collections import defaultdict
# Complete the minimumSwaps function below.
"""
https://www.hackerrank.com/challenges/minimum-swaps-2/problem?h_l=interview&playlist_slugs%5B%5D=interview-preparation-kit&playlist_slugs%5B%5D=arrays
You are ... | Python | zaydzuhri_stack_edu_python |
function inradius P x
begin
if not call contains x
begin
return call NotImplementedError string The polytope should contain x.
end
set tuple A a B b C c D d = call dual_representation P
set l = call nrows
return min generator expression call row j * call vector x + b at j for j in range l
end function | def inradius(P, x):
if not (P.contains(x)):
return NotImplementedError("The polytope should contain x.")
(A, a, B, b, C, c, D, d) = dual_representation(P)
l = D.nrows()
return min(B.row(j)*vector(x)+b[j] for j in range(l)) | Python | nomic_cornstack_python_v1 |
function to_str self
begin
return call pformat call to_dict
end function | def to_str(self):
return pprint.pformat(self.to_dict()) | Python | nomic_cornstack_python_v1 |
function __init__ self sigma dim
begin
set sigma = sigma
set dim = dim
call __init__ ksize=integer sigma * 8 + 1
end function | def __init__(self, sigma, dim):
self.sigma = sigma
self.dim = dim
super().__init__(ksize=int(sigma*8 + 1)) | Python | nomic_cornstack_python_v1 |
function on_post self req resp
begin
set password = string body at string password
set tuple error account_addr private_key keystore = call create_account password
if error is none
begin
set message = dict string success true ; string account_addr account_addr ; string private_key private_key ; string keystore dumps ke... | def on_post(self, req, resp):
password = str(req.body['password'])
error, account_addr, private_key, keystore = eth_helper.create_account(password)
if error is None:
message = {
'success': True,
'account_addr': account_addr,
'private_... | Python | nomic_cornstack_python_v1 |
comment get_ipython().run_line_magic('matplotlib', 'inline')
comment from matplotlib import style
comment style.use('fivethirtyeight')
comment import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import datetime as dt
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.or... | # get_ipython().run_line_magic('matplotlib', 'inline')
# from matplotlib import style
# style.use('fivethirtyeight')
# import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import datetime as dt
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from s... | Python | zaydzuhri_stack_edu_python |
for i in my_list
begin
print i type i
end | for i in my_list:
print(i, type(i))
| Python | zaydzuhri_stack_edu_python |
function say_good_morning greeting
begin
set name = get greeting string name
set to = get greeting string to
comment If a 'broadcast' message is received, emit it back out w/ the 'broadcast' flag to True
comment This will emit to ALL rooms
if to == EVERYONE
begin
call emit string broadcast dict string name name broadca... | def say_good_morning(greeting):
name = greeting.get("name")
to = greeting.get("to")
# If a 'broadcast' message is received, emit it back out w/ the 'broadcast' flag to True
# This will emit to ALL rooms
if to == EVERYONE:
socketio.emit("broadcast", {"name": name}, broadcast=True)
else:
... | Python | nomic_cornstack_python_v1 |
import os , sys
import json
import pprint , urllib
from pull_article_by_pmid import pull_article_by_id
function search_by_author author_name=string R result_dir=string losick_pubs return_max=300
begin
if not is directory path result_dir
begin
make directories result_dir
end
comment parameters for pulling this pubmed ar... | import os, sys
import json
import pprint, urllib
from pull_article_by_pmid import pull_article_by_id
def search_by_author(author_name=" R", result_dir='losick_pubs', return_max=300):
if not os.path.isdir(result_dir):
os.makedirs(result_dir)
# parameters for pulling this pubmed article in JSON format
... | Python | zaydzuhri_stack_edu_python |
string This is the fifth set of exercises used in the class. This class is somewhat different. You will create two files. First, you will create a class which implements vectors. Second, you will create unittests. unittests establish whether the class works properly or not. Below you find a skeleton for the code. At th... | """
This is the fifth set of exercises used in the class.
This class is somewhat different. You will create two files.
First, you will create a class which implements vectors. Second, you will create
unittests. unittests establish whether the class works properly or not.
Below you find a skeleton for the code. At the... | Python | zaydzuhri_stack_edu_python |
from sklearn.datasets import make_blobs
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from mglearn import cm2
comment 构造数据
set tuple X _ = call make_blobs n_samples=50 centers=5 random_state=4 cluster_std=2
comment 将其分为训练集和测试集
set tuple X_train X_test = train test split X random_s... | from sklearn.datasets import make_blobs
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from mglearn import cm2
# 构造数据
X,_ = make_blobs(n_samples=50,centers=5,random_state=4,cluster_std=2)
# 将其分为训练集和测试集
X_train,X_test=train_test_split(X,random_state=1,test_size=0.1)
# 绘制训练集和测试集
fi... | Python | zaydzuhri_stack_edu_python |
comment max = 40
set evenTotal = 2
comment print last
comment print val
while val <= max
begin
set tmpLast = val
set val = val + last
set last = tmpLast
if val > max
begin
break
end
else
comment print val
if val % 2 == 0
begin
comment print val
set evenTotal = evenTotal + val
end
end | # max = 40
evenTotal = 2
# print last
# print val
while val <= max:
tmpLast = val
val = val + last
last = tmpLast
if val > max:
break
else:
# print val
if (val % 2 == 0):
# print val
evenTotal = evenTotal + val
| Python | zaydzuhri_stack_edu_python |
function load_modelnet40 partition
begin
return call _load_modelnet string modelnet40 partition
end function | def load_modelnet40(partition):
return _load_modelnet('modelnet40', partition) | Python | nomic_cornstack_python_v1 |
function user_command_change_nick self args
begin
set tuple mess room nick = list string * 3
set tuple command s args = call partition string
comment Parsing args
if lower command != string nick
begin
set mess = string What must I change?
end
else
begin
set args = strip args string
if args and args at 0 in list string... | def user_command_change_nick(self, args):
mess, room, nick = ['']*3
command, s, args = args.partition(' ')
# Parsing args
if command.lower() != 'nick':
mess = 'What must I change?'
else:
args = args.strip(' ')
if args and args[0] in ['"', "'"]:... | Python | nomic_cornstack_python_v1 |
comment 对处理后的新文件进行插值
comment 3-9 列直接进行插值 12列 H 对字母后的数字进行插值 并将H添加回去
comment 2，10，11，13列 同一值
comment 定义插值函数
from scipy import interpolate
import numpy as np
comment 对数据进行插值 data为进行插值的数据 list
function interpolation data n
begin
set x = linear space 0 length data - 1 length data
comment 数据扩充为10倍 linspace(start,stop,numbers... | # 对处理后的新文件进行插值
# 3-9 列直接进行插值 12列 H 对字母后的数字进行插值 并将H添加回去
# 2，10，11，13列 同一值
# 定义插值函数
from scipy import interpolate
import numpy as np
# 对数据进行插值 data为进行插值的数据 list
def interpolation(data,n):
x = np.linspace(0,len(data)-1,len(data))
# 数据扩充为10倍 linspace(start,stop,numbers)
x_new = np.linspace(0,len(data)-1,n*len... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from random import randint
function displayNumericResults c p d i
begin
set result = zeros tuple c 2 dtype=float
for j in range c
begin
set a = string j
set result at j at 0 = j
set result at j at 1 = p at i at d at a
end
return result at call argsort at slice : : - 1
end function
comment see predi... | import numpy as np
from random import randint
def displayNumericResults(c, p, d, i):
result = np.zeros((c, 2), dtype = float)
for j in range(c):
a = str(j)
result[j][0] = j
result[j][1] = p[i][d[a]]
return (result[result[:, 1].argsort()])[::-1]
# see pred... | Python | zaydzuhri_stack_edu_python |
from bs4 import BeautifulSoup as bs
import requests
import urllib.request
import os
function get_imgs site
begin
set source = text
set soup = call bs source string lxml
set urls = list comprehension string url at string src for url in find all string img if string .jpg in string site + url at string src or string .png ... | from bs4 import BeautifulSoup as bs
import requests
import urllib.request
import os
def get_imgs(site):
source = requests.get(site).text
soup = bs(source, "lxml")
urls = [str(url["src"]) for url in soup.findAll("img")
if ".jpg" in str(site+url["src"]) or ".png" in str(site+url["src"])]
ret... | Python | zaydzuhri_stack_edu_python |
import numpy
set arr = array split input float
set n = integer input
print call polyval arr n | import numpy
arr = numpy.array(input().split(), float)
n = int(input())
print(numpy.polyval(arr, n))
| Python | zaydzuhri_stack_edu_python |
from operator import attrgetter , itemgetter
class Teacher
begin
function __init__ self name salary age
begin
set name = name
set age = age
set salary = salary
end function
function __repr__ self
begin
return call repr tuple name age salary
end function
end class
set teachers = list call Teacher string A 1200 30 call T... | from operator import attrgetter, itemgetter
class Teacher():
def __init__(self, name, salary, age):
self.name = name
self.age = age
self.salary = salary
def __repr__(self):
return repr((self.name,self.age,self.salary))
teachers = [Teacher("A",1200,30),Teacher("B",120... | Python | zaydzuhri_stack_edu_python |
function full_path self
begin
set path = file_path
if _relative_path
begin
set path = join path path _relative_path
end
return path
end function | def full_path(self):
path = self.file_path
if self._relative_path:
path = os.path.join(path, self._relative_path)
return path | Python | nomic_cornstack_python_v1 |
string This program prompts the user to pick a number, enter their name, and then generates a password the length of the chosen number from letters in their name.
import random
print string Let's make a random password together!
set user_selected_number = input string Pick any two digit number. This will determine how ... | '''
This program prompts the user to pick a number, enter their name, and then generates a password the length of the
chosen number from letters in their name.
'''
import random
print("Let's make a random password together!")
user_selected_number = input("Pick any two digit number. This will determine how many charac... | Python | zaydzuhri_stack_edu_python |
function get_partition_table_type self
begin
set process = popen list string parted string -s device string print stdout=PIPE
set tuple output error = communicate process
set exit_code = returncode
if exit_code != 0
begin
raise call DeviceError device string Non-zero exit code string error string utf-8
end
set result =... | def get_partition_table_type(self):
process = subprocess.Popen(["parted", "-s", self.device, "print"], stdout=subprocess.PIPE)
output, error = process.communicate()
exit_code = process.returncode
if exit_code != 0:
raise weresync.exception.DeviceError(self.device, "Non-zero ... | Python | nomic_cornstack_python_v1 |
comment Author: Alex Gezerlis
comment Numerical Methods in Physics with Python (2nd ed., CUP, 2023)
comment Solution to chapter 5, problem 25
comment NOTE TO INSTRUCTORS: this solution is made available to all readers (i.e., not locked)
from math import sqrt , exp
function f x
begin
comment following line is there for ... | # Author: Alex Gezerlis
# Numerical Methods in Physics with Python (2nd ed., CUP, 2023)
# Solution to chapter 5, problem 25
# NOTE TO INSTRUCTORS: this solution is made available to all readers (i.e., not locked)
from math import sqrt, exp
def f(x):
# following line is there for development/debugging purposes
... | Python | zaydzuhri_stack_edu_python |
function main self frame
begin
debug string QR/main: Started
set codes = list
call get_qr_codes frame
debug string QR/main: Finished
return call draw_qr_codes frame
end function | def main(self, frame):
self.__logger.debug("QR/main: Started")
self.codes = []
self.get_qr_codes(frame)
self.__logger.debug("QR/main: Finished")
return self.draw_qr_codes(frame) | Python | nomic_cornstack_python_v1 |
import requests
import json
import hashlib
set isbn = string 9780062380661
set isbn2 = string 9780451474575
set response = get requests format string https://www.googleapis.com/books/v1/volumes?q=isbn:{} isbn
set ret = loads text
comment parse = json.dumps(ret)
comment print(type(parse))
print ret at string items at 0 ... | import requests
import json
import hashlib
isbn = '9780062380661'
isbn2 = '9780451474575'
response = requests.get('https://www.googleapis.com/books/v1/volumes?q=isbn:{}'.format(isbn))
ret = json.loads(response.text)
# parse = json.dumps(ret)
# print(type(parse))
print(ret['items'][0]['volumeInfo']['title'])
title =... | Python | zaydzuhri_stack_edu_python |
function extent self
begin
set first = next iterate self
set minx = reduce lambda v c -> if expression v < x then v else x self x
set maxx = reduce lambda v c -> if expression v > x then v else x self x
set miny = reduce lambda v c -> if expression v < y then v else y self y
set maxy = reduce lambda v c -> if expressio... | def extent(self):
first = next(iter(self))
minx = reduce(lambda v, c: v if v < c.x else c.x, self, first.x)
maxx = reduce(lambda v, c: v if v > c.x else c.x, self, first.x)
miny = reduce(lambda v, c: v if v < c.y else c.y, self, first.y)
maxy = reduce(lambda v, c: v if v > c.y el... | Python | nomic_cornstack_python_v1 |
function load_CIFAR100 batch_dir
begin
set tuple ims coarse_labels fine_labels = call load_CIFAR_batch batch_dir + string /train
set tuple ims_t c_labels f_labels = call load_CIFAR_batch batch_dir + string /test
set ims = concatenate tuple ims ims_t
set coarse_labels = concatenate tuple coarse_labels c_labels
set fine_... | def load_CIFAR100(batch_dir):
ims, coarse_labels, fine_labels = load_CIFAR_batch(batch_dir + '/train')
ims_t, c_labels, f_labels = load_CIFAR_batch(batch_dir + '/test')
ims = np.concatenate((ims, ims_t))
coarse_labels = np.concatenate((coarse_labels, c_labels))
fine_labels = np.concatenate((fin... | Python | nomic_cornstack_python_v1 |
comment pylint: disable=unused-argument
function target_log_prob_fn self *args **kwargs
begin
comment pylint: disable=unused-argument
function log_joint_fn *args **kwargs
begin
set states = dictionary zip keys unobserved args
update states observed
set interceptor = call CollectLogProb states
with call interception int... | def target_log_prob_fn(self, *args, **kwargs): # pylint: disable=unused-argument
def log_joint_fn(*args, **kwargs): # pylint: disable=unused-argument
states = dict(zip(self.unobserved.keys(), args))
states.update(self.observed)
interceptor = interceptors.CollectLogProb(sta... | Python | nomic_cornstack_python_v1 |
import os
import sys
import json
import math
from autoallocation import AutoAllocation
class allocation
begin
function __init__ self allocation_logic latitude longitude
begin
set allocation_logic = allocation_logic
set latitude = latitude
set longitude = longitude
call autoallocation_execution
end function
function aut... | import os
import sys
import json
import math
from autoallocation import AutoAllocation
class allocation:
def __init__(self,allocation_logic,latitude,longitude):
self.allocation_logic = allocation_logic
self.latitude = latitude
self.longitude = longitude
self.autoallocation_execution()
def autoallocat... | Python | zaydzuhri_stack_edu_python |
function __all_penguins self
begin
set ret = list
for p in players
begin
set ret = ret + call get_penguins
end
return ret
end function | def __all_penguins(self):
ret = []
for p in self.players:
ret += p.get_penguins()
return ret | Python | nomic_cornstack_python_v1 |
comment noqa: N802
function assertOnPaymentErrorPage self response mock_send_email
begin
call assertContains response string We are experiencing technical problems
call assertContains response upper ref at slice : 8 :
call assert_not_called
for key in complete_session_keys
begin
assert not in key session
end
end funct... | def assertOnPaymentErrorPage(self, response, mock_send_email): # noqa: N802
self.assertContains(response, 'We are experiencing technical problems')
self.assertContains(response, self.ref[:8].upper())
mock_send_email.assert_not_called()
for key in self.complete_session_keys:
... | Python | nomic_cornstack_python_v1 |
function format_multiple_files args file_names
begin
set account_owners = call read_account_owners owners_file
for file in file_names
begin
set input_path = join path input_dir file
set output_path = join path output_dir file
if reverse find file string . == - 1
begin
set output_path = output_path + string .html
end
el... | def format_multiple_files(args, file_names):
account_owners = read_account_owners(args.owners_file)
for file in file_names:
input_path = os.path.join(args.input_dir, file)
output_path = os.path.join(args.output_dir, file)
if file.rfind(".") == -1:
output_path += ".html"
... | Python | nomic_cornstack_python_v1 |
function init_memory g nf current_priorities
begin
return tuple nf tuple list comprehension nodes at nf at i + 1 >= current_priorities at i for i in range call get_nbr_priority_functions
end function | def init_memory(g, nf, current_priorities):
return (nf, tuple([g.nodes[nf][i + 1] >= current_priorities[i] for i in range(g.get_nbr_priority_functions())])) | Python | nomic_cornstack_python_v1 |
string Given a list of employees, write the code to extract the second to last employee from the list? Assume that you do not know how long the list initially is. E.g. employees = [“John Smith”, “Frank Jacobs”, “Scott Anderson”, “Mary Smith”, “Jim Bates”] You code should print out : Mary Smith On the output console
set... | '''
Given a list of employees, write the code to extract the second to last employee from the list? Assume that you do not know how long the list initially is.
E.g.
employees = [“John Smith”, “Frank Jacobs”, “Scott Anderson”, “Mary Smith”, “Jim Bates”]
You code should print out :
Mary Smith
On the output console
'''... | Python | zaydzuhri_stack_edu_python |
function author_view self context
begin
string Display a the studio editor when the user has clicked "View" to see the container view, otherwise just show the normal 'author_preview_view' or 'student_view' preview.
set root_xblock = get context string root_xblock
if root_xblock and location == location
begin
comment Us... | def author_view(self, context):
"""
Display a the studio editor when the user has clicked "View" to see the container view,
otherwise just show the normal 'author_preview_view' or 'student_view' preview.
"""
root_xblock = context.get('root_xblock')
if root_xblock and roo... | Python | jtatman_500k |
function account_enabled self
begin
if string accountEnabled in _prop_dict
begin
return _prop_dict at string accountEnabled
end
else
begin
return none
end
end function | def account_enabled(self):
if "accountEnabled" in self._prop_dict:
return self._prop_dict["accountEnabled"]
else:
return None | Python | nomic_cornstack_python_v1 |
import MySQLdb
import time
import numpy as np
import fastcluster
import scipy
function cluster_by_ingred cursor ingred metric data_dir=string /Users/amorten/Projects/RecipeSearch/Database/HClusters/
begin
set time_before = time
set rec_ids = call get_rec_ids_for_ingred cursor ingred
save data_dir + metric + string /rec... | import MySQLdb
import time
import numpy as np
import fastcluster
import scipy
def cluster_by_ingred(cursor,ingred,metric,
data_dir="/Users/amorten/Projects/"
"RecipeSearch/Database/HClusters/"):
time_before = time.time()
rec_ids = get_rec_ids_for_ingred(c... | Python | zaydzuhri_stack_edu_python |
import socket
function http_get url
begin
comment Extract hostname and path from the URL
set tuple hostname path = call extract_hostname_path url
comment Create a TCP socket
set sock = call socket AF_INET SOCK_STREAM
comment Connect to the server using port 80 (default for HTTP)
set server_address = tuple hostname 80
c... | import socket
def http_get(url):
# Extract hostname and path from the URL
hostname, path = extract_hostname_path(url)
# Create a TCP socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
# Connect to the server using port 80 (default for HTTP)
server_address = (hostname, 80)... | Python | jtatman_500k |
function stop_shoot self
begin
if recording
begin
call stop_recording
end
call stop_recording
comment Todo: This is disgusting way to merging audio and silent video. Fix this.
call merge_audio_and_video
end function | def stop_shoot(self):
if self.camera.recording:
self.camera.stop_recording()
self.hearer.stop_recording()
# Todo: This is disgusting way to merging audio and silent video. Fix this.
self.merge_audio_and_video() | Python | nomic_cornstack_python_v1 |
function test_profile_transformer deepcopy_mock process_mock
begin
comment Setup
set transformer_mock = call Mock spec_set=NumericalTransformer
set dataset_gen_mock = call Mock spec_set=RandomNumericalGenerator
set return_value = zeros 100
set return_value = ones 100
set return_value = return_value
comment Run
set prof... | def test_profile_transformer(deepcopy_mock, process_mock):
# Setup
transformer_mock = Mock(spec_set=NumericalTransformer)
dataset_gen_mock = Mock(spec_set=RandomNumericalGenerator)
transformer_mock.return_value.transform.return_value = np.zeros(100)
dataset_gen_mock.generate.return_value = np.ones(1... | Python | nomic_cornstack_python_v1 |
function addPlayer settings
begin
string define a new PlayerRecord setting and save to disk file
call _validate settings
set player = call PlayerRecord settings
save
set call getKnownPlayers at name = player
return player
end function | def addPlayer(settings):
"""define a new PlayerRecord setting and save to disk file"""
_validate(settings)
player = PlayerRecord(settings)
player.save()
getKnownPlayers()[player.name] = player
return player | Python | jtatman_500k |
function ensure_chambers
begin
string Ensures chambers are created
set france = get objects name=string France
for key in tuple string AN string SEN
begin
set variant = FranceDataVariants at key
call get_or_create name=variant at string chamber abbreviation=variant at string abbreviation country=france
end
end function | def ensure_chambers():
"""
Ensures chambers are created
"""
france = Country.objects.get(name="France")
for key in ('AN', 'SEN'):
variant = FranceDataVariants[key]
Chamber.objects.get_or_create(name=variant['chamber'],
abbreviation=variant['abbre... | Python | jtatman_500k |
function test_main driver
begin
comment Test Parameters
comment Auto generated application URL parameter
set ApplicationURL = string https://epitest-demo.bloomstack.io/
set ExpectedCust = string
set ActualCustNameOnScreen = string
set ExpectedCompany = string
set ActtualCustOnSave = string
set username = string tes... | def test_main(driver):
# Test Parameters
# Auto generated application URL parameter
ApplicationURL = "https://epitest-demo.bloomstack.io/"
ExpectedCust = ""
ActualCustNameOnScreen = ""
ExpectedCompany = ""
ActtualCustOnSave = ""
username = "testautomationuser@bloomstack.com"
pwd = "e... | Python | nomic_cornstack_python_v1 |
function sitemetricexchange self
begin
try
begin
return _sitemetricexchange
end
except Exception as e
begin
raise e
end
end function | def sitemetricexchange(self) :
try :
return self._sitemetricexchange
except Exception as e:
raise e | Python | nomic_cornstack_python_v1 |
function decimal2bin number precision
begin
assert number > 0
set binary_str = binary integer number
set frac = number - integer number
for i in range precision
begin
set frac = frac * 2
set frac_bit = integer frac
if frac_bit == 1
begin
set frac = frac - frac_bit
set binary_str = binary_str + string 1
end
else
begin
s... | def decimal2bin(number, precision):
assert number > 0
binary_str = bin(int(number))
frac = number - int(number)
for i in range(precision):
frac *= 2
frac_bit = int(frac)
if frac_bit == 1:
frac -= frac_bit
binary_str += '... | Python | nomic_cornstack_python_v1 |
comment Load and prepare CIFAR-10 data. For a detailed description of the CIFAR-10
comment file format, see: https://www.cs.toronto.edu/~kriz/cifar.html
import numpy as np
set CIFAR_DIRECTORY = string ../data/cifar-10-batches-py/
comment Read a CIFAR-10 dictionary. Amongst others, the dictionary includes a "data"
comme... | # Load and prepare CIFAR-10 data. For a detailed description of the CIFAR-10
# file format, see: https://www.cs.toronto.edu/~kriz/cifar.html
import numpy as np
CIFAR_DIRECTORY = '../data/cifar-10-batches-py/'
# Read a CIFAR-10 dictionary. Amongst others, the dictionary includes a "data"
# entry and a "labels" entry.... | Python | zaydzuhri_stack_edu_python |
string Except for one test, this file tests with auto-creation of topics disabled, as it is more rigorous for testing purposes. :copyright: Copyright since 2006 by Oliver Schoenborn, all rights reserved. :license: BSD, see LICENSE.txt for details.
import gc
import pytest
import pubsub.core.topicargspec
from pubsub impo... | """
Except for one test, this file tests with auto-creation of topics
disabled, as it is more rigorous for testing purposes.
:copyright: Copyright since 2006 by Oliver Schoenborn, all rights reserved.
:license: BSD, see LICENSE.txt for details.
"""
import gc
import pytest
import pubsub.core.topicargspec
from pubsu... | Python | zaydzuhri_stack_edu_python |
function enable_onnx_compatible_models self
begin
return get pulumi self string enable_onnx_compatible_models
end function | def enable_onnx_compatible_models(self) -> Optional[bool]:
return pulumi.get(self, "enable_onnx_compatible_models") | Python | nomic_cornstack_python_v1 |
function test_fma_nan_param_nanarray_nannum_ninfnum_none_a_183 self
begin
comment This version is expected to pass.
call fma okarrayx oknumy oknumz matherrors=true
comment This should raise an error.
with assert raises ArithmeticError
begin
call fma nanarrayx nannumy ninfnumz
end
end function | def test_fma_nan_param_nanarray_nannum_ninfnum_none_a_183(self):
# This version is expected to pass.
arrayfunc.fma(self.okarrayx, self.oknumy, self.oknumz, matherrors=True)
# This should raise an error.
with self.assertRaises(ArithmeticError):
arrayfunc.fma(self.nanarrayx, self.nannumy, self.ninfnumz) | Python | nomic_cornstack_python_v1 |
from typing import Tuple
import pandas as pd
import numpy as np
from pandas.core.frame import DataFrame
class MarketDataProvider
begin
set assets : array
set data : DataFrame
set min_fill_time : int
function __init__ self merged_csv_path
begin
comment Load in CSV and convert time to DatetimeIndex
set expected_dtypes = ... | from typing import Tuple
import pandas as pd
import numpy as np
from pandas.core.frame import DataFrame
class MarketDataProvider:
assets: np.array
data: DataFrame
min_fill_time: int
def __init__(self, merged_csv_path: str) -> None:
# Load in CSV and convert time to DatetimeIndex
expec... | Python | zaydzuhri_stack_edu_python |
function is_integrity_error cls exception
begin
return is instance exception IntegrityError
end function | def is_integrity_error(cls, exception):
return isinstance(exception, IntegrityError) | Python | nomic_cornstack_python_v1 |
if hoge
begin
set fuga = pop hoge
print fuga
end
print hoge | if hoge :
fuga = hoge.pop()
print(fuga)
print(hoge) | Python | zaydzuhri_stack_edu_python |
comment This module should work as a template whenever there are or not students
import tkinter as tk
import Cruz_Elian_Practica_12_styles as st
from PIL import ImageTk , Image
from Cruz_Elian_Practica_12_studentDataTemplate import *
from Cruz_Elian_Practica_12_AddStudent import *
from addFolder import *
set mainRoot =... | #This module should work as a template whenever there are or not students
import tkinter as tk
import Cruz_Elian_Practica_12_styles as st
from PIL import ImageTk, Image
from Cruz_Elian_Practica_12_studentDataTemplate import *
from Cruz_Elian_Practica_12_AddStudent import *
from addFolder import *
mainRoot=None
mainC... | Python | zaydzuhri_stack_edu_python |
import cv2
from pyzbar import pyzbar
import json
import requests
import time
async function postRequestAPI url body
begin
return await post url data=body
end function
function read_barcodes frame
begin
set barcodes = decode pyzbar frame
set url = string http://localhost:8000/item
for barcode in barcodes
begin
set tuple... | import cv2
from pyzbar import pyzbar
import json
import requests
import time
async def postRequestAPI(url, body) :
return await requests.post(url, data=body)
def read_barcodes(frame):
barcodes = pyzbar.decode(frame)
url = 'http://localhost:8000/item'
for barcode in barcodes:
x, y... | Python | zaydzuhri_stack_edu_python |
function add_tags_to_bookmark self bookmark_id tags
begin
string Add tags to to a bookmark. The identified bookmark must belong to the current user. :param bookmark_id: ID of the bookmark to delete. :param tags: Comma separated tags to be applied.
set url = call _generate_url format string bookmarks/{0}/tags bookmark_i... | def add_tags_to_bookmark(self, bookmark_id, tags):
"""
Add tags to to a bookmark.
The identified bookmark must belong to the current user.
:param bookmark_id: ID of the bookmark to delete.
:param tags: Comma separated tags to be applied.
"""
url = self._generate... | Python | jtatman_500k |
function _failed_tests self metric_source_id
begin
return call __test_count metric_source_id string fail
end function | def _failed_tests(self, metric_source_id: str) -> int:
return self.__test_count(metric_source_id, "fail") | Python | nomic_cornstack_python_v1 |
if __name__ == string __main__
begin
while 1
begin
set user_number = input string Choose a number:
if is digit user_number
begin
set user_number = integer user_number
break
end
else
begin
print format string {} is not a valid number user_number
end
end
if user_number > 100
begin
print user_number ^ 2
end
else
begin
pri... | if __name__ == '__main__':
while 1:
user_number = input("Choose a number: \n")
if user_number.isdigit():
user_number = int(user_number)
break
else:
print("{} is not a valid number".format(user_number))
if user_number > 100:
print(user_number*... | Python | zaydzuhri_stack_edu_python |
function query self query bindings=tuple results=string *
begin
try
begin
if closed
begin
call make_connection
end
call set_cursor
with _cursor as cursor
begin
if is instance query list and not _dry
begin
for q in query
begin
call statement q tuple
end
return
end
set query = replace query string '?' string %s
call sta... | def query(self, query, bindings=(), results="*"):
try:
if self._connection.closed:
self.make_connection()
self.set_cursor()
with self._cursor as cursor:
if isinstance(query, list) and not self._dry:
for q in query:
... | Python | nomic_cornstack_python_v1 |
function set_machine_status_handler self handler
begin
set _status_handler = handler
end function | def set_machine_status_handler(self, handler):
self._status_handler = handler | Python | nomic_cornstack_python_v1 |
function deposit
begin
comment Get user balance
set user_balance = call get_balance db
if method == string POST
begin
if not get form string amount
begin
return call apology string Missing amount
end
else
if decimal get form string amount <= 0
begin
return call apology string Amount must be a positive number
end
set de... | def deposit():
# Get user balance
user_balance = get_balance(db)
if request.method == "POST":
if not request.form.get('amount'):
return apology("Missing amount")
elif float(request.form.get('amount')) <= 0:
return apology("Amount must be a positive number")
... | Python | nomic_cornstack_python_v1 |
function num_temp_HBNB n
begin
return call render_template string 5-number.html n=n
end function | def num_temp_HBNB(n):
return render_template('5-number.html', n=n) | Python | nomic_cornstack_python_v1 |
import os
import itertools
import distutils.dir_util
import pynini
from pynini import *
class AttributeGrammarFST
begin
function __init__ self
begin
set path = join path directory name path __file__ + string /bin_files/
set digits = list string 1 string 2 string 3 string 4 string 5 string 6 string 7 string 8 string 9 s... | import os
import itertools
import distutils.dir_util
import pynini
from pynini import *
class AttributeGrammarFST:
def __init__(self):
self.path = os.path.join(os.path.dirname(__file__) + '/bin_files/')
digits = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '0']
splitters = ['x', 'X', ... | Python | zaydzuhri_stack_edu_python |
comment Fonte: https://www.trustedsec.com/2010/03/generate-an-ntlm-hash-in-3-lines-of-python
import hashlib , binascii
set hash = call digest | #Fonte: https://www.trustedsec.com/2010/03/generate-an-ntlm-hash-in-3-lines-of-python
import hashlib,binascii
hash = hashlib.new('md4', "moreno".encode('utf-16le')).digest() | Python | zaydzuhri_stack_edu_python |
import random
function random_exercise difficulty_level
begin
if difficulty_level == 0
begin
set operando_1 = call randrange 1 10
set operando_2 = call randrange 1 10
set operador = random choice list string + string - string *
set exercise_list = list operando_1 operando_2 operador
end
if difficulty_level == 1
begin
s... | import random
def random_exercise(difficulty_level):
if difficulty_level == 0:
operando_1 = random.randrange(1, 10)
operando_2 = random.randrange(1, 10)
operador = random.choice(['+', '-', '*'])
exercise_list = [
operando_1,
operando_2,
operador
... | Python | zaydzuhri_stack_edu_python |
comment Binary Beats
comment Import required libraries
import sys
from matplotlib import pyplot as plt
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.layers import Dropout , Flatten , Dense , BatchNormalization
from tensorflow.keras.callbacks import EarlyStopping , ModelCheckp... | # Binary Beats
# Import required libraries
import sys
from matplotlib import pyplot as plt
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.layers import Dropout, Flatten, Dense, BatchNormalization
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint
from tensor... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
class dsDNA_pos
begin
string Starts from position 0
function __init__ self size
begin
set size = size
end function
function set_plus_pos self pos_p
begin
set pos_p = pos_p
end function
function set_minus_pos self pos_m
begin
set pos_p = size - pos_m - 1
end function
function posp self
begin... | #!/usr/bin/env python
class dsDNA_pos:
""" Starts from position 0 """
def __init__(self, size):
self.size = size
def set_plus_pos(self, pos_p):
self.pos_p = pos_p
def set_minus_pos(self, pos_m):
self.pos_p = self.size - pos_m - 1
def posp(self):
return self.pos_p
... | Python | zaydzuhri_stack_edu_python |
function convert self delta_multiplier
begin
set delta_multiplier = delta_multiplier
end function | def convert(self, delta_multiplier):
self.delta_multiplier = delta_multiplier | Python | nomic_cornstack_python_v1 |
import socket
import string
set HOST = string 140.122.185.174
set port = 8081
comment Normally 1024, the lower the number is, the response is faster
set BUFFER_SIZE = 1024
comment How many bytes you want to try (Final bytes "char_bytes = 16")
set char_bytes = 16
set SECRET = string
set s = call socket AF_INET SOCK_STR... | import socket
import string
HOST = '140.122.185.174'
port = 8081
BUFFER_SIZE = 1024 # Normally 1024, the lower the number is, the response is faster
char_bytes = 16 # How many bytes you want to try (Final bytes "char_bytes = 16")
SECRET = ''
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect((HOST, por... | Python | zaydzuhri_stack_edu_python |
from hash_stats import HashStats
class RoboHash
begin
string RoboHash is a HashTable implementation that provides constant time lookups and O(N) insertion time. It uses Open Addressing with linear probing for Hash collision resolution
string Initializes RoboHash array_size -- the size of the table to start with, will d... | from hash_stats import HashStats
class RoboHash:
"""
RoboHash is a HashTable implementation that provides constant time lookups and O(N) insertion time.
It uses Open Addressing with linear probing for Hash collision resolution
"""
"""Initializes RoboHash
array_size -- the size of the table t... | Python | zaydzuhri_stack_edu_python |
function workflow_2 sentences keep_prob=0.5 mask_prob=0.4 replace_prob=0.1
begin
if length sentences < 0
begin
return list
end
comment Extract entity and pattern for each sentence
set all_docs = call pipe sentences
set all_ents = list
for doc in all_docs
begin
set ents = list
for ent in ents
begin
append ents tuple ... | def workflow_2(sentences: List[str], keep_prob=0.5, mask_prob=0.4, replace_prob=0.1):
if len(sentences) < 0:
return []
# Extract entity and pattern for each sentence
all_docs = nlp.pipe(sentences)
all_ents = []
for doc in all_docs:
ents = []
for ent in doc.ents:... | Python | nomic_cornstack_python_v1 |
function test_delete_server_fails self nova_mock
begin
set return_value = list call FakeServer string 1212 string speedy string ACTIVE
for fail in novaclient_exceptions
begin
function _raise_fail server
begin
raise call fail code=http_status
end function
set side_effect = _raise_fail
set exc = assert raises OpenStackCl... | def test_delete_server_fails(self, nova_mock):
nova_mock.servers.list.return_value = [fakes.FakeServer('1212',
'speedy',
'ACTIVE')]
for fail in self.novaclient_exceptions:
... | Python | nomic_cornstack_python_v1 |
string Given an array of positive numbers, find the maximum sum of a subsequence with the constraint that no 2 numbers in the sequence should be adjacent in the array. In des First line contain integer N,denotes size of array. Second line contain N space separated integers,denotes array elements. Ot des Print the sum 4... | """
Given an array of positive numbers, find the maximum sum of a subsequence with the constraint that no 2 numbers in the sequence should be adjacent in the array.
In des
First line contain integer N,denotes size of array.
Second line contain N space separated integers,denotes array elements.
Ot des
Print th... | Python | zaydzuhri_stack_edu_python |
function ls_diff_2 up_to=1750 precision=1000
begin
set prec = precision
set dec_2 = call Decimal 2
set dec_1_5 = call Decimal 1.5
return list comprehension integer dec_1_5 ^ i / dec_1_5 ^ i - 1 - dec_1_5 ^ - i / 1 - dec_2 ^ - i for i in range 2 up_to
end function | def ls_diff_2(up_to=1750, precision=1000):
getcontext().prec = precision
dec_2 = Decimal(2)
dec_1_5 = Decimal(1.5)
return [int(dec_1_5**i) / (dec_1_5**i) - (1 - dec_1_5**(-i)) / (1 - dec_2**(-i)) for i in range(2, up_to)] | Python | nomic_cornstack_python_v1 |
from flask import Flask , render_template , redirect , url_for , request
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
from flask_wtf import FlaskForm
from wtforms import StringField , SubmitField
from wtforms.validators import DataRequired
import requests
import os
set API_KEY = get env... | from flask import Flask, render_template, redirect, url_for, request
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.validators import DataRequired
import requests
import os
API_KEY = os.environ.get(... | Python | zaydzuhri_stack_edu_python |
function test_amplitude self
begin
comment 1 + i, 1-i and i
set x = call as_tensor list list 1 1 list 1 - 1 list 0 1
set y = call as_tensor list 2 2 1
set passcomplex = item call sumsqr_diff y call amplitude x < 1e-07
comment 1,2,4 (test function for real numbers)
set x = call as_tensor list 1 2 4
set y = call as_tenso... | def test_amplitude(self):
# 1 + i, 1-i and i
x = torch.as_tensor([[1, 1], [1, -1], [0, 1]])
y = torch.as_tensor([2, 2, 1])
passcomplex = sumsqr_diff(y, pyms.utils.amplitude(x)).item() < 1e-7
# 1,2,4 (test function for real numbers)
x = torch.as_tensor([1, 2, 4])
y... | Python | nomic_cornstack_python_v1 |
comment Write a bizz and zzuu game ##project
set user_number = integer input string please enter a number
for i in range 1 user_number + 1
begin
print i
end
while true
begin
user_number
end
set play = input string Do you want to play BIZZZUUUU?
if play == string yes
begin
set user_input = integer input string what numb... | # Write a bizz and zzuu game ##project
user_number= (int(input("please enter a number")))
for i in range(1, user_number + 1):
print(i)
while True:
user_number
play = input('Do you want to play BIZZZUUUU?\n')
if play == 'yes':
user_input = int(input('what number would you like to play to?\n'))
for num ... | Python | zaydzuhri_stack_edu_python |
function sub_val self value_to_sub **kwargs
begin
return call set_val call _on_sub call get_val value_to_sub keyword kwargs keyword kwargs
end function | def sub_val(self, value_to_sub, **kwargs):
return self.set_val(self._on_sub(self.get_val(), value_to_sub, **kwargs), **kwargs) | Python | nomic_cornstack_python_v1 |
function get_template self
begin
if get_website
begin
return call get_template
end
else
begin
return call get_template
end
end function | def get_template(self):
if self.get_website:
return self.get_website.get_template()
else:
return default_entity.get_website.get_template() | Python | nomic_cornstack_python_v1 |
from flask import Flask
from flask_restful import Resource , Api
comment Resources is thing that api can return , create, delete and so on
comment Resource are usually mapped into databases tables as well.
comment Config the api
set app = call Flask __name__
set api = call Api app
comment Every resource has to be a cla... | from flask import Flask
from flask_restful import Resource, Api
# Resources is thing that api can return , create, delete and so on
# Resource are usually mapped into databases tables as well.
#Config the api
app = Flask(__name__)
api = Api(app)
#Every resource has to be a class
items = []
#Defining our resource
... | Python | zaydzuhri_stack_edu_python |
string 求最大公约数和最小公倍数 version:0.1 author:小雨 date:2019..09.19
function gcd x y
begin
set tuple x y = if expression x > y then tuple x y else tuple y x
for factor in range y 0 - 1
begin
if x % factor == 0 and y % factor == 0
begin
return factor
end
end
end function
function lcm x y
begin
return x * y / call gcd x y
end fun... | '''
求最大公约数和最小公倍数
version:0.1
author:小雨
date:2019..09.19
'''
def gcd(x, y):
(x, y) = (x, y) if (x > y) else (y, x)
for factor in range(y, 0, -1):
if x % factor == 0 and y % factor == 0:
return factor
def lcm(x,y):
return x * y / gcd(x, y)
| Python | zaydzuhri_stack_edu_python |
import Tkinter as tk
from PIL import Image , ImageTk
class App
begin
function __init__ self root images
begin
set index = 0
set images = images
set points = list
for i in range length images
begin
set images at i = call PhotoImage images at i
end
set w = call width
set h = call height
set x = 0
set y = 0
set panel1 = ... | import Tkinter as tk
from PIL import Image, ImageTk
class App:
def __init__(self, root, images):
self.index = 0
self.images = images
self.points = []
for i in range(len(self.images)):
self.images[i] = ImageTk.PhotoImage(self.images[i])
w = images[0].width()
h = images[0].height()
x = 0
y = 0
... | Python | zaydzuhri_stack_edu_python |
function dump_jsonl self data output_path append=false
begin
set mode = if expression append then string a+ else string w
with open output_path mode encoding=string utf-8 as f
begin
for line in data
begin
set json_record = dumps line ensure_ascii=false
write f json_record + string
end
end
print format string Wrote {} r... | def dump_jsonl(self, data, output_path, append=False):
mode = 'a+' if append else 'w'
with open(output_path, mode, encoding='utf-8') as f:
for line in data:
json_record = json.dumps(line, ensure_ascii=False)
f.write(json_record + '\n')
print('Wrote {} ... | Python | nomic_cornstack_python_v1 |
import numpy as np
function generate_unique_array rows cols
begin
set array = zeros tuple rows cols dtype=int
for i in range rows
begin
for j in range cols
begin
while true
begin
set value = random integer 1 101
if value not in array at tuple i slice : : and value not in array at tuple slice : : j
begin
set array... | import numpy as np
def generate_unique_array(rows, cols):
array = np.zeros((rows, cols), dtype=int)
for i in range(rows):
for j in range(cols):
while True:
value = np.random.randint(1, 101)
if value not in array[i, :] and value not in array[:, j]:
... | Python | jtatman_500k |
import numpy as np
function feat_calc feat_array index_1 index_2 calc_type dst_index=- 1
begin
string Function: Band math for two feature array, generate new feature array (Currently only supports binocular operations) Input: feat_array: np.array, original feature array, shape is ((sample number), (feature nmber + labe... | import numpy as np
def feat_calc(
feat_array: np.array,
index_1: int,
index_2: int,
calc_type: str,
*,
dst_index: int = -1,
) -> np.ndarray:
"""
Function:
Band math for two feature array, generate new feature array
(Currently only supports binocular operations)
Inpu... | Python | zaydzuhri_stack_edu_python |
set cars = list dict string brand string Toyota ; string year 2005 ; string color string blue dict string brand string Ford ; string year 2012 ; string color string red dict string brand string Toyota ; string year 2015 ; string color string red dict string brand string Honda ; string year 2009 ; string color string gr... | cars = [
{'brand': 'Toyota', 'year': 2005, 'color': 'blue'},
{'brand': 'Ford', 'year': 2012, 'color': 'red'},
{'brand': 'Toyota', 'year': 2015, 'color': 'red'},
{'brand': 'Honda', 'year': 2009, 'color': 'green'},
{'brand': 'Toyota', 'year': 2018, 'color': 'black'},
{'brand': 'Ford', 'year'... | Python | jtatman_500k |
function cosmic_correction sx spe fx ic weights cpt cosmic_sigcut cosmic_threshold
begin
comment define the critical pixel values?
set crit = sx - spe at ic * fx
comment re-cast the sigcut parameters
comment 25% of the flux
set sigcut = cosmic_sigcut
comment start the loop counter
set nbloop = 0
comment loop around unt... | def cosmic_correction(sx, spe, fx, ic, weights, cpt, cosmic_sigcut,
cosmic_threshold):
# define the critical pixel values?
crit = (sx - spe[ic] * fx)
# re-cast the sigcut parameters
sigcut = cosmic_sigcut # 25% of the flux
# start the loop counter
nbloop = 0
# loop aro... | Python | nomic_cornstack_python_v1 |
function update_db_version
begin
print string Checking Database states...
set default environ string DJANGO_SETTINGS_MODULE string ADSM.settings
try
begin
call call_command string migrate database=string scenario_db interactive=false fake_initial=true
call call_command string migrate database=string default interactive... | def update_db_version():
print("Checking Database states...")
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "ADSM.settings")
try:
call_command('migrate', database='scenario_db', interactive=False, fake_initial=True)
call_command('migrate', database='default', interactive=False, fake_initia... | Python | nomic_cornstack_python_v1 |
function get_tag_values self data tag_name
begin
try
begin
set tree = call fromstring data
set xml_namespace = dict string wprt string http://schemas.microsoft.com/windows/2006/08/wdp/print ; string wsa string http://schemas.xmlsoap.org/ws/2004/08/addressing ; string SOAP-ENV string http://www.w3.org/2003/05/soap-envel... | def get_tag_values(self, data, tag_name):
try:
tree = et.fromstring(data)
xml_namespace = {"wprt": "http://schemas.microsoft.com/windows/2006/08/wdp/print",
"wsa": "http://schemas.xmlsoap.org/ws/2004/08/addressing",
"SOAP-ENV": "http://www.w3.or... | Python | nomic_cornstack_python_v1 |
function ra_reply_callback req iface
begin
set src = src
call sendp ra iface=iface verbose=0
print string Fake RA sent in response to RS from %s % src
end function | def ra_reply_callback(req, iface):
src = req[IPv6].src
sendp(ra, iface=iface, verbose=0)
print("Fake RA sent in response to RS from %s" % src) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import os
import re
import json
import pytz
import pydicom
import string
import tzlocal
import logging
import zipfile
import datetime
import classification_from_label
from fnmatch import fnmatch
from pprint import pprint
call basicConfig
set log = call getLogger string dicom-mr-classifier
s... | #!/usr/bin/env python
import os
import re
import json
import pytz
import pydicom
import string
import tzlocal
import logging
import zipfile
import datetime
import classification_from_label
from fnmatch import fnmatch
from pprint import pprint
logging.basicConfig()
log = logging.getLogger("dicom-mr-classifier")
DEFAU... | Python | zaydzuhri_stack_edu_python |
function get_red_volume self
begin
set cumulative_volume = 0
comment If there is no hyperrectangle in the unsat space
if not rectangles_unsat
begin
return 0.0
end
for rectangle in rectangles_unsat
begin
set cumulative_volume = cumulative_volume + call get_rectangle_volume rectangle
end
return cumulative_volume
end func... | def get_red_volume(self):
cumulative_volume = 0
## If there is no hyperrectangle in the unsat space
if not self.rectangles_unsat:
return 0.0
for rectangle in self.rectangles_unsat:
cumulative_volume = cumulative_volume + get_rectangle_volume(rectangle)
r... | Python | nomic_cornstack_python_v1 |
function currentosPaths filenames
begin
set nativeSep = vars at string DIRSEP
if nativeSep == sep
begin
return filenames
end
else
begin
return call substitute filenames lambda x -> replace x nativeSep sep string FILENAMES caller=string currentosPaths
end
end function | def currentosPaths(filenames):
nativeSep = mk.vars['DIRSEP']
if nativeSep == os.sep:
return filenames
else:
return substitute(filenames,
lambda x: x.replace(nativeSep, os.sep),
'FILENAMES',
caller='currentosPaths') | Python | nomic_cornstack_python_v1 |
function open url backend_args=none
begin
set backend = call new_backend url backend_args
comment Make sure the database already exists.
set root = call get_root
if string SCHEVO not in root
begin
close backend
raise call DatabaseDoesNotExist url
end
comment Determine the version of the database.
set schevo = root at s... | def open(url, backend_args=None):
backend = new_backend(url, backend_args)
# Make sure the database already exists.
root = backend.get_root()
if 'SCHEVO' not in root:
backend.close()
raise DatabaseDoesNotExist(url)
# Determine the version of the database.
schevo = root['SCHEVO']
... | Python | nomic_cornstack_python_v1 |
function SizeOnStore self
begin
return call SizeOnStore
end function | def SizeOnStore (self):
return self.provider.SizeOnStore () | Python | nomic_cornstack_python_v1 |
comment 15. 3Sum
comment https://leetcode.com/problems/3sum/
class Solution extends object
begin
function threeSum self nums
begin
string :type nums: List[int] :rtype: List[List[int]]
return call threeSum_withtarget nums 0
end function
function threeSum_withtarget self nums target
begin
set res = list
set N = length n... | # 15. 3Sum
# https://leetcode.com/problems/3sum/
class Solution(object):
def threeSum(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
return self.threeSum_withtarget(nums, 0)
def threeSum_withtarget(self, nums, target):
res = []
... | Python | zaydzuhri_stack_edu_python |
function mergeDictionaries dict1 dict2
begin
string This function takes two python dictionaries as inputs and returns a single merged dictionary.
comment Create a new empty dictionary
set merged_dict = dict
comment Iterate over the two argument dictionaries and add the key-value pairs to the new dictionary
for tuple k... | def mergeDictionaries(dict1, dict2):
'''This function takes two python dictionaries as inputs and returns a single merged dictionary.'''
# Create a new empty dictionary
merged_dict = {}
# Iterate over the two argument dictionaries and add the key-value pairs to the new dictionary
for key, value in... | Python | flytech_python_25k |
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