code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function __init__ self ctx
begin
set available_workers = list
set workflow_comms = dict
set thread_exit = false
set pending_workflows = queue
set ctx = ctx
set server_secret_file = join path zmq_private_keys_path string server.key_secret
set tuple server_public server_secret = call load_certificate server_secret_file... | def __init__(self, ctx):
self.available_workers = []
self.workflow_comms = {}
self.thread_exit = False
self.pending_workflows = Queue()
self.ctx = ctx
server_secret_file = os.path.join(core.config.paths.zmq_private_keys_path, "server.key_secret")
server_public, s... | Python | nomic_cornstack_python_v1 |
function bench_compare_multiple logger *param_groups **fn_names
begin
set tuple title_str ans_str time_str = tuple string Testing {name}: string {name}({params}) = {ans} string Time = {time}
for tuple name fn in items fn_names
begin
set str_params = dict string name name
print format title_str keyword str_params
for pg... | def bench_compare_multiple(logger, *param_groups, **fn_names):
title_str, ans_str, time_str = "Testing {name}:","\t{name}({params}) = {ans}","\tTime = {time}"
for name, fn in fn_names.items():
str_params = {'name': name}
print(title_str.format(**str_params))
for pg in param_groups:
... | Python | nomic_cornstack_python_v1 |
function negative_elbo decoded_subgraphs mu logvar g
begin
comment First unbatch all the graphs into individual
comment subgraphs
set gs_unbatched = call unbatch g
assert length decoded_subgraphs == length gs_unbatched
set loss = 0.0
for tuple i subgraph in enumerate gs_unbatched
begin
comment Compute decoding loss for... | def negative_elbo(decoded_subgraphs, mu, logvar, g):
# First unbatch all the graphs into individual
# subgraphs
gs_unbatched = dgl.unbatch(g)
assert len(decoded_subgraphs) == len(gs_unbatched)
loss = 0.0
for i, subgraph in enumerate(gs_unbatched):
# Compute decoding loss for each indivi... | Python | nomic_cornstack_python_v1 |
function generate_password userName
begin
import random
set password = string
for c in range 4
begin
set newChar = userName at random integer 0 length userName - 1
set capital = random integer 0 1
if capital is 0
begin
set password = password + upper newChar
end
else
begin
set password = password + newChar
end
end
for... | def generate_password(userName):
import random
password = ""
for c in range(4):
newChar = userName[random.randint(0,len(userName)-1)]
capital = random.randint(0,1)
if(capital is 0):
password = password + newChar.upper()
else:
password = password + newChar
for t in range(4):
password = password +... | Python | zaydzuhri_stack_edu_python |
function _create_tokenizer self corpus_type
begin
if corpus_type not in list string char string word
begin
set e = string Corpus type should be `char` or `word`.
error e
raise call RuntimeError e
end
if corpus_type == string char
begin
return pipeline lower_case valid_char tokenize_to_char
end
return pipeline lower_cas... | def _create_tokenizer(self, corpus_type: str) -> callable:
if corpus_type not in ["char", "word"]:
e = "Corpus type should be `char` or `word`."
logger.error(e)
raise RuntimeError(e)
if corpus_type == "char":
return p.pipeline(p.lower_case, p.valid_cha... | Python | nomic_cornstack_python_v1 |
import PE
import EF
import scipy.io as sio
import STSpam
import numpy as np
comment Part One: Email Preprocessing | import PE
import EF
import scipy.io as sio
import STSpam
import numpy as np
#Part One: Email Preprocessing | Python | zaydzuhri_stack_edu_python |
function isTrajectory nc variable
begin
if call is_cf_trajectory nc variable or call is_single_trajectory nc variable
begin
return true
end
return false
end function | def isTrajectory(nc, variable):
if is_cf_trajectory(nc, variable) or is_single_trajectory(nc, variable):
return True
return False | Python | nomic_cornstack_python_v1 |
comment load all train and test data from the har dataset
from numpy import dstack
from pandas import read_csv
comment load a single file as a numpy array
function load_file filepath
begin
set dataframe = read csv filepath header=none delim_whitespace=true
return values
end function
comment load a list of files, such a... | # load all train and test data from the har dataset
from numpy import dstack
from pandas import read_csv
# load a single file as a numpy array
def load_file(filepath):
dataframe = read_csv(filepath, header=None, delim_whitespace=True)
return dataframe.values
# load a list of files, such as x, y, z data for ... | Python | zaydzuhri_stack_edu_python |
function test_get_fails_when_getting_vendor_dependency_with_wrong_component_type self
begin
set result = call invoke cli list *CLI_LOG_OPTION string config string get string vendor.fetchai.component_type_not_correct.error.non_existing_attribute standalone_mode=false
assert exit_code == 1
set s = string 'component_type_... | def test_get_fails_when_getting_vendor_dependency_with_wrong_component_type(self):
result = self.runner.invoke(
cli,
[
*CLI_LOG_OPTION,
"config",
"get",
"vendor.fetchai.component_type_not_correct.error.non_existing_attribute... | Python | nomic_cornstack_python_v1 |
function wrap self tag *args **kwargs
begin
string Returns all *args* (strings) wrapped in HTML tags like so:: >>> b = TagWrap('b') >>> print(b('bold text')) <b>bold text</b> To add attributes to the tag you can pass them as keyword arguments:: >>> a = TagWrap('a') >>> print(a('awesome software', href='http://liftoffso... | def wrap(self, tag, *args, **kwargs):
"""
Returns all *args* (strings) wrapped in HTML tags like so::
>>> b = TagWrap('b')
>>> print(b('bold text'))
<b>bold text</b>
To add attributes to the tag you can pass them as keyword arguments::
>>> a = T... | Python | jtatman_500k |
function attach_tool_model *args
begin
set sel = call ls selection=true type=string transform
set robot = call get_robot_roots
comment Exception handling
if not sel
begin
warning string Nothing selected; select a valid robot control and tool controller
return
end
if not robot
begin
warning string No tool controller sel... | def attach_tool_model(*args):
sel = pm.ls(selection=True, type='transform')
robot = get_robot_roots()
# Exception handling
if not sel:
pm.warning('Nothing selected; ' \
'select a valid robot control and tool controller')
return
if not robot:
pm.warning('No... | Python | nomic_cornstack_python_v1 |
import math
function tanh_prime x
begin
return 1 - tanh x ^ 2
end function
function relu x
begin
return max 0 x
end function
function relu_prime x
begin
return if expression x > 0 then 1 else 0
end function
set x = 100
set a1 = tanh x
set a2 = tanh a1
set a3 = tanh a2
set y = tanh a3
print y
print string w4: call tanh_... | import math
def tanh_prime(x):
return 1 - math.tanh(x)**2
def relu(x):
return max(0, x)
def relu_prime(x):
return 1 if x > 0 else 0
x = 100
a1 = math.tanh(x)
a2 = math.tanh(a1)
a3 = math.tanh(a2)
y = math.tanh(a3)
print(y)
print('w4: ', tanh_prime(a3) * a3)
print('w3: ', tanh_prime(a3) * tanh_prime(a... | Python | zaydzuhri_stack_edu_python |
import matplotlib
from matplotlib import pyplot
set minutes = list 1 2 3 4 5 6 7 8 9
set player1 = list 1 2 3 3 4 4 4 4 5
set player2 = list 1 1 1 1 2 2 2 3 4
set player3 = list 1 1 1 2 2 2 3 3 3
set legends = list string player1 string player2 string player3
call stackplot minutes player1 player2 player3 labels=legend... | import matplotlib
from matplotlib import pyplot
minutes = [1, 2, 3, 4, 5, 6, 7, 8, 9]
player1 = [1, 2, 3, 3, 4, 4, 4, 4, 5]
player2 = [1, 1, 1, 1, 2, 2, 2, 3, 4]
player3 = [1, 1, 1, 2, 2, 2, 3, 3, 3]
legends=['player1','player2','player3']
pyplot.stackplot(minutes,player1,player2,player3,labels=legends)
#to change... | Python | zaydzuhri_stack_edu_python |
from picamera import PiCamera
from time import sleep
import time
set camera = call PiCamera
call start_preview
for i in range 3
begin
comment sleep(3)
set start = time
call capture string /home/pi/Desktop/imageNoSleep%s.jpg % i
set end = time
print string taking photo time: %f % end - start
end
call stop_preview | from picamera import PiCamera
from time import sleep
import time
camera = PiCamera()
camera.start_preview()
for i in range(3):
#sleep(3)
start = time.time()
camera.capture('/home/pi/Desktop/imageNoSleep%s.jpg' % i)
end = time.time()
print("taking photo time: %f" % (end - start))
camera.stop_previe... | Python | zaydzuhri_stack_edu_python |
comment Looking at Logistic Regression Classifier
comment Encoding
import numpy
import matplotlib.pyplot as plt
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from split_data import split_dataframes_train_test
from sklearn import tree
from sklearn.linear_model import Logisti... | # Looking at Logistic Regression Classifier
# Encoding
import numpy
import matplotlib.pyplot as plt
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from split_data import split_dataframes_train_test
from sklearn import tree
from sklearn.linear_model import LogisticRegression... | Python | zaydzuhri_stack_edu_python |
function _batching_scheme batch_size max_length min_length_bucket length_bucket_step drop_long_sequences=false shard_multiplier=1 length_multiplier=1 min_length=0
begin
set max_length = max_length or batch_size
if max_length < min_length
begin
raise call ValueError string max_length must be greater or equal to min_leng... | def _batching_scheme(batch_size,
max_length,
min_length_bucket,
length_bucket_step,
drop_long_sequences=False,
shard_multiplier=1,
length_multiplier=1,
min_length=0):
max_... | Python | nomic_cornstack_python_v1 |
function test_rshift_basic_array_num_array_b1 self
begin
for testval in data2param
begin
with call subTest msg=string Failed with parameter testval=testval
begin
comment Copy the array so we don't change the original data.
set datax = copy copy data1
set expected = list comprehension call pyshift x testval for x in dat... | def test_rshift_basic_array_num_array_b1(self):
for testval in self.data2param:
with self.subTest(msg='Failed with parameter', testval = testval):
# Copy the array so we don't change the original data.
datax = copy.copy(self.data1)
expected = [self.pyshift(x, testval) for x in datax]
arrayfunc.r... | Python | nomic_cornstack_python_v1 |
function watchdog_func event cmd exec_timeout
begin
wait event exec_timeout
if returncode is none
begin
error string Task timed out and will be killed
call kill_process_with_children pid
end
end function | def watchdog_func(event, cmd, exec_timeout):
event.wait(exec_timeout)
if cmd.returncode is None:
logger.error("Task timed out and will be killed")
kill_process_with_children(cmd.pid) | Python | nomic_cornstack_python_v1 |
function read self size=1
begin
set pkt = read stdout size
if DEBUG_STREAM_RX
begin
debug string RX Raw: + string map hexify_chr pkt
end
return map ord pkt at 0
end function | def read(self, size=1):
pkt = self.pipe.stdout.read(size)
if CONFIG.DEBUG_STREAM_RX:
logging.debug("RX Raw: " + str(map(spinel.util.hexify_chr, pkt)))
return map(ord, pkt)[0] | Python | nomic_cornstack_python_v1 |
comment 类的定义
class MyClass
begin
pass
end class
comment __init__() method 方法 function(函数)
comment attribute 属性
comment method 方法
class People
begin
function __init__ self name age
begin
set name = name
set age = age
end function
function sayhi self
begin
print format string Hi, my name is {}, and I'm {} name age
end fu... | # 类的定义
class MyClass:
pass
# __init__() method 方法 function(函数)
# attribute 属性
# method 方法
class People:
def __init__(self, name, age):
self.name = name
self.age = age
def sayhi(self):
print("Hi, my name is {}, and I'm {}".format(
self.name, self.age
))
#... | Python | zaydzuhri_stack_edu_python |
import os.path
from flask import Flask
import os
import json
import run_backend
import time
set app = call Flask __name__
function get_predictions
begin
set novos_videos_json = string novos_videos.json
if not exists path novos_videos_json
begin
call update_db
end
set last_update = call getmtime novos_videos_json
with o... | import os.path
from flask import Flask
import os
import json
import run_backend
import time
app = Flask(__name__)
def get_predictions():
novos_videos_json = 'novos_videos.json'
if not os.path.exists(novos_videos_json):
run_backend.update_db()
last_update = os.path.getmtime(novos_videos_json)
with open(... | Python | zaydzuhri_stack_edu_python |
function mousePress self widget button=none position=none state=none modifiers=none qgraphicsscene=none
begin
call _mouseEvent MouseButtonPress widget button position state modifiers qgraphicsscene
end function | def mousePress(self, widget, button=None, position=None, state=None, modifiers=None, qgraphicsscene=None):
self._mouseEvent(QEvent.MouseButtonPress, widget, button, position, state, modifiers, qgraphicsscene) | Python | nomic_cornstack_python_v1 |
comment IP-models for graph coloring.
comment Input as an edge list.
comment Output the number of colors.
from pyscipopt import Model
import pyscipopt
comment Reads dimacs graph
comment Returns: vertex set, max degree, edge list
function read_dimacs filename
begin
with open filename string r as fin
begin
comment Find h... | # IP-models for graph coloring.
# Input as an edge list.
# Output the number of colors.
from pyscipopt import Model
import pyscipopt
# Reads dimacs graph
# Returns: vertex set, max degree, edge list
def read_dimacs(filename):
with open(filename, "r") as fin:
# Find header
while True:
r... | Python | zaydzuhri_stack_edu_python |
function list self limit=none
begin
call _validate_type limit string limit int false
set href = call get_search_script_href
set data = dict string query string *:*
if limit is not none
begin
update data dict string limit limit
end
if not _ICP
begin
set response = post href params=call _params headers=call _get_headers ... | def list(self, limit=None):
Script._validate_type(limit, u'limit', int, False)
href = self._href_definitions.get_search_script_href()
data = {
"query": "*:*"
}
if limit is not None:
data.update({"limit": limit})
if not self._ICP:
... | Python | nomic_cornstack_python_v1 |
string 329. Longest Increasing Path in a Matrix
from typing import List
class Solution
begin
function longestIncreasingPath self matrix
begin
if not matrix
begin
return 0
end
set tuple ni nj = tuple length matrix length matrix at 0
set dp = list comprehension list - 1 * nj for _ in range ni
set ret = 0
set directions =... | """
329. Longest Increasing Path in a Matrix
"""
from typing import List
class Solution:
def longestIncreasingPath(self, matrix: List[List[int]]) -> int:
if not matrix:
return 0
ni, nj = len(matrix), len(matrix[0])
dp = [ [ -1 ] * nj for _ in range(ni) ]
ret = 0
... | Python | zaydzuhri_stack_edu_python |
function set self data
begin
set ret = call _rest_call data string POST
return ret at 0 == 200
end function | def set(self, data):
ret = self._rest_call(data, 'POST')
return ret[0] == 200 | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
import os
from sklearn.preprocessing import MinMaxScaler
function standardize train test
begin
string Standardize data
comment Standardize train and test
set X_train = train - mean np train axis=0 at tuple none slice : : slice : : / standard deviation np train axis=0 at tupl... | import pandas as pd
import numpy as np
import os
from sklearn.preprocessing import MinMaxScaler
def standardize(train, test):
""" Standardize data """
# Standardize train and test
X_train = (train - np.mean(train, axis=0)[None, :, :]) / np.std(train, axis=0)[None, :, :]
X_test = (test - np.mean(test, ... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
set n = integer input
set yama = list
for _ in range n
begin
comment 縦N、横2N-1 の山
append yama list input
end
function yamakuzushi a b
begin
comment aが横、bが縦
comment 入力された a,b は 'x' になっている場所で、上3箇所のいずれかに '#' があれば 'X' に置き換える
comment 一個上の山が存在しなければ終わり
if b - 1 < 0
b... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
n = int(input())
yama = []
for _ in range(n):
# 縦N、横2N-1 の山
yama.append(list(input()))
def yamakuzushi (a:int, b:int):
# aが横、bが縦
# 入力された a,b は 'x' になっている場所で、上3箇所のいずれかに '#' があれば 'X' に置き換える
if b-1 < 0: # 一個上の山が存在しなければ終わり
return 0
if 0 <= b-1... | Python | zaydzuhri_stack_edu_python |
function __init__ __self__ linked_service_name path=none
begin
set __self__ string linked_service_name linked_service_name
if path is not none
begin
set __self__ string path path
end
end function | def __init__(__self__, *,
linked_service_name: Any,
path: Optional[Any] = None):
pulumi.set(__self__, "linked_service_name", linked_service_name)
if path is not None:
pulumi.set(__self__, "path", path) | Python | nomic_cornstack_python_v1 |
function qst2 self
begin
set success = false
end function | def qst2(self):
self.success = False | Python | nomic_cornstack_python_v1 |
function align_center foregroundWidth backgroundWidth distanceTop=0
begin
return tuple integer backgroundWidth / 2 - integer foregroundWidth / 2 distanceTop
end function | def align_center(foregroundWidth: int, backgroundWidth: int, distanceTop: int = 0):
return int(backgroundWidth / 2) - int(foregroundWidth / 2), distanceTop | Python | nomic_cornstack_python_v1 |
function save_backup self
begin
set backup = data
end function | def save_backup(
self):
self.backup = self.data | Python | nomic_cornstack_python_v1 |
function _get_title self link
begin
set title = none
with call Timeout GET_TIMEOUT
begin
set res = get requests link
if status_code == 200
begin
set tree = call fromstring content
set title = call xpath string //title/text() at 0
info format string Title for {}: {} link title
end
else
begin
error format string Unable t... | def _get_title(self, link):
title = None
with eventlet.Timeout(GET_TIMEOUT):
res = requests.get(link)
if res.status_code == 200:
tree = html.fromstring(res.content)
title = tree.xpath('//title/text()')[0]
logger.info("Title for {}:... | Python | nomic_cornstack_python_v1 |
function startElement self tag attrs
begin
if tag == string tip
begin
set tlist = list
comment Skip all tips with xml:lang attribute, as they are
comment already in the translation catalog
set skip = string xml:lang in attrs
end
else
if tag == string br
begin
pass
end
else
if tag != string tips
begin
comment let all t... | def startElement(self, tag, attrs):
if tag == "tip":
self.tlist = []
# Skip all tips with xml:lang attribute, as they are
# already in the translation catalog
self.skip = 'xml:lang' in attrs
elif tag == "br":
pass
elif tag != "tips":
... | Python | nomic_cornstack_python_v1 |
import numpy as np
set x = 2
print exp x
print 2.7182 * 2.7182 | import numpy as np
x = 2
print(np.exp(x))
print(2.7182 * 2.7182) | Python | zaydzuhri_stack_edu_python |
import numpy as np
import pandas as pd
import time
import warnings
filter warnings string ignore
set file_name = string ./output
set f = open file_name
set user_size = 212063
set buff = list comprehension string for i in range user_size
set i = 0
for line in f
begin
set buff at i = line
set i = i + 1
end
close f
set u... | import numpy as np
import pandas as pd
import time
import warnings
warnings.filterwarnings("ignore")
file_name = "./output"
f = open(file_name)
user_size = 212063
buff = ["" for i in range(user_size)]
i = 0
for line in f:
buff[i] = line
i += 1
f.close()
user_chunks = pd.read_csv("/home/jason/datamining/dat... | Python | zaydzuhri_stack_edu_python |
function test_base_path original_base_path args
begin
if skip_redirects
begin
return original_base_path
end
comment WARNING: some redirects are hardcoded to production URLs.
comment Both staging and production will rate limit us.
set response = head session root_url + original_base_path allow_redirects=true
if 200 <= s... | def test_base_path(original_base_path, args):
if args.skip_redirects:
return original_base_path
# WARNING: some redirects are hardcoded to production URLs.
# Both staging and production will rate limit us.
response = session.head(args.root_url + original_base_path, allow_redirects=True)
if... | Python | nomic_cornstack_python_v1 |
function create_token self data options=none
begin
string Generates a secure authentication token. Our token format follows the JSON Web Token (JWT) standard: header.claims.signature Where: 1) 'header' is a stringified, base64-encoded JSON object containing version and algorithm information. 2) 'claims' is a stringifie... | def create_token(self, data, options=None):
"""
Generates a secure authentication token.
Our token format follows the JSON Web Token (JWT) standard:
header.claims.signature
Where:
1) 'header' is a stringified, base64-encoded JSON object containing version and algorithm ... | Python | jtatman_500k |
import multiprocessing
function cal_sq n q
begin
for i in n
begin
put i * i
end
end function
if __name__ == string __main__
begin
set arr = list 2 3 4
set q = queue
set p1 = process target=cal_sq args=tuple arr q
start p1
join p1
while call empty is false
begin
print get q
end
end
comment ### multiprocessing
comment q ... | import multiprocessing
def cal_sq(n, q):
for i in n:
q.put(i * i)
if __name__ == "__main__":
arr = [2, 3, 4]
q = multiprocessing.Queue()
p1 = multiprocessing.Process(target=cal_sq, args=(arr, q,))
p1.start()
p1.join()
while q.empty() is False:
print(q.get())
## ### mul... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
string CREATED:2011-11-03 10:23:22 by Brian McFee <bmcfee@cs.ucsd.edu> Generate a tag-hopper playlist Usage: ./sampleTaghopper.py model.pickle songhash.pickle N
import cPickle as pickle
import sys
import hypergraph | #!/usr/bin/env python
'''
CREATED:2011-11-03 10:23:22 by Brian McFee <bmcfee@cs.ucsd.edu>
Generate a tag-hopper playlist
Usage:
./sampleTaghopper.py model.pickle songhash.pickle N
'''
import cPickle as pickle
import sys
import hypergraph
| Python | zaydzuhri_stack_edu_python |
comment Uses python3
import sys
import math
import heapq
function dist p1 p2
begin
return square root p2 at 0 - p1 at 0 ^ 2 + p2 at 1 - p1 at 1 ^ 2
end function
function minimum_distance x y
begin
set visited = list false * length x
set pq = list tuple 0 0
set distance = 0
set num_visited = 0
while length pq
begin
set ... | #Uses python3
import sys
import math
import heapq
def dist(p1, p2):
return math.sqrt((p2[0] - p1[0])**2 + (p2[1]-p1[1])**2)
def minimum_distance(x, y):
visited = [False] * len(x)
pq = [(0,0)]
distance = 0
num_visited = 0
while(len(pq)):
v = heapq.heappop(pq)
i = v[1]
if... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
comment Find the reflection point.
function findReflectPoint self point k line
begin
comment Calculate the b of y = k * x + b.
set b = point at 1 - k * point at 0
comment If line is vertical, the reflection point should be (x, k * x + b), x = 0 or p.
if line at 0
begin
return tuple line at 1 k * li... | class Solution:
def findReflectPoint(self, point: tuple, k: float, line: tuple) -> tuple: #Find the reflection point.
b = point[1] - k * point[0] #Calculate the b of y = k * x + b.
if line[0]: ... | Python | zaydzuhri_stack_edu_python |
comment Definition for a binary tree node.
comment class TreeNode:
comment def __init__(self, val=0, left=None, right=None):
comment self.val = val
comment self.left = left
comment self.right = right
class FindElements
begin
function __init__ self root
begin
set visited = set
function helper root prev
begin
if root
beg... | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class FindElements:
def __init__(self, root: TreeNode):
self.visited = set()
def helper(root, prev... | Python | zaydzuhri_stack_edu_python |
import requests
from bs4 import BeautifulSoup
class cricket
begin
function scoreFinder self url
begin
set source_code = get requests url
set plain_text = text
set soup = call BeautifulSoup plain_text
for link in find all string div dict string class string match-information-strip
begin
set title = string
print title
en... | import requests
from bs4 import BeautifulSoup
class cricket():
def scoreFinder(self,url):
source_code=requests.get(url)
plain_text=source_code.text
soup=BeautifulSoup(plain_text)
for link in soup.findAll('div',{'class':'match-information-strip'}):
title=link.string
... | Python | zaydzuhri_stack_edu_python |
comment Given a string that contains only digits 0-9 and a target value, return all possibilities to add binary operators (not unary) +, -, or * between the digits so they evaluate to the target value.
comment Examples:
comment "123", 6 -> ["1+2+3", "1*2*3"]
comment "232", 8 -> ["2*3+2", "2+3*2"]
comment "105", 5 -> ["... | # Given a string that contains only digits 0-9 and a target value, return all possibilities to add binary operators (not unary) +, -, or * between the digits so they evaluate to the target value.
#
# Examples:
# "123", 6 -> ["1+2+3", "1*2*3"]
# "232", 8 -> ["2*3+2", "2+3*2"]
# "105", 5 -> ["1*0+5","10-5"]
# "00",... | Python | zaydzuhri_stack_edu_python |
function choose_action self node exploit=false
begin
set best_val = - inf
set mcts_policy = cuda zeros 1 length node at string childs device
set n_children = length node at string childs
comment Get back to the root node and evaluate its children. Choose the best estimated action
comment and move to the next node. This... | def choose_action(self, node: dict, exploit: bool = False) -> tuple:
best_val = -np.inf
mcts_policy = torch.zeros(1, len(node["childs"])).cuda(self.controller.device)
n_children = len(node["childs"])
# Get back to the root node and evaluate its children. Choose the best estimated action... | Python | nomic_cornstack_python_v1 |
function main
begin
set creds = none
comment The file token.pickle stores the user's access and refresh tokens, and is
comment created automatically when the authorization flow completes for the first
comment time.
if exists path string token.pickle
begin
with open string token.pickle string rb as token
begin
set creds... | def main():
creds = None
# The file token.pickle stores the user's access and refresh tokens, and is
# created automatically when the authorization flow completes for the first
# time.
if os.path.exists('token.pickle'):
with open('token.pickle', 'rb') as token:
creds = pickle.loa... | Python | nomic_cornstack_python_v1 |
class Sentences
begin
function __init__ self stream
begin
set iter = iterate stream
end function
function __iter__ self
begin
return self
end function
function __next__ self
begin
set sentence = string
for c in iter
begin
set sentence = sentence + c
if c == string .
begin
return sentence
end
end
raise StopIteration
en... | class Sentences:
def __init__(self, stream):
self.iter = iter(stream)
def __iter__(self):
return self
def __next__(self):
sentence = ''
for c in self.iter:
sentence += c
if c == '.':
return sentence
raise StopIteration
... | Python | zaydzuhri_stack_edu_python |
function RNA s
begin
set rnaTranslate = string
for item in s
begin
set item = upper item
if item == string A
begin
set rnaTranslate = rnaTranslate + item
end
if item == string C
begin
set rnaTranslate = rnaTranslate + item
end
if item == string G
begin
set rnaTranslate = rnaTranslate + item
end
if item == string T
beg... | def RNA(s):
rnaTranslate=''
for item in s:
item=item.upper()
if item == 'A':
rnaTranslate+=item
if item == 'C':
rnaTranslate+=item
if item == 'G':
rnaTranslate... | Python | zaydzuhri_stack_edu_python |
function check_memory self n array_ptr_str offset=1
begin
set data = split array_ptr_str string at 3
set bytes_from_heap = split data string
set actual_start = offset
for i in range 0 n * 4 4
begin
set hex_str = bytes_from_heap at i + 3 at slice 2 : :
set hex_str = hex_str + bytes_from_heap at i + 2 at slice 2 : :
... | def check_memory(self, n, array_ptr_str, offset=1):
data = array_ptr_str.split("\n")[3]
bytes_from_heap = data.split(" ")
actual_start = offset
for i in range(0, n * 4, 4):
hex_str = bytes_from_heap[i+3][2:]
hex_str += bytes_from_heap[i+2][2:]
hex_str... | Python | nomic_cornstack_python_v1 |
comment coding=utf-8
comment 导入需要使用的模块
comment import itertools
import urllib
comment import sys,io
comment sys.stdout=io.TextIOWrapper(sys.stdout.buffer,encoding='utf-8')#为了防止有时候输出产生中文乱码的问题
import requests
from lxml import etree
import json
from docx import Document
from docx.shared import Inches
from docx.oxml.ns imp... | # coding=utf-8
#导入需要使用的模块
#import itertools
import urllib
#import sys,io
#sys.stdout=io.TextIOWrapper(sys.stdout.buffer,encoding='utf-8')#为了防止有时候输出产生中文乱码的问题
import requests
from lxml import etree
import json
from docx import Document
from docx.shared import Inches
from docx.oxml.ns import qn
from docx.shared import P... | Python | zaydzuhri_stack_edu_python |
function __init__ self *args **kwargs
begin
set org = pop kwargs string organization
call __init__ *args keyword kwargs
set fields at string documents = call ModelMultipleChoiceField queryset=all required=false
end function | def __init__(self, *args, **kwargs):
org = kwargs.pop("organization")
super(LibraryDocumentAssociateForm, self).__init__(*args, **kwargs)
self.fields['documents'] = forms.ModelMultipleChoiceField(
queryset=org.documentasset_set.all(),
required=False) | Python | nomic_cornstack_python_v1 |
function answer x r c
begin
if r * c % x != 0
begin
return string RICHARD
end
if x == 1 or x == 2
begin
return string GABRIEL
end
if x == 4 and r * c == 12 or r * c == 16
begin
return string GABRIEL
end
if x == 3 and r * c > 3
begin
return string GABRIEL
end
else
begin
return string RICHARD
end
end function
set lines =... | def answer(x,r,c):
if r*c % x != 0:
return 'RICHARD'
if x == 1 or x == 2:
return 'GABRIEL'
if (x == 4) and ((r*c == 12) or (r*c == 16)):
return 'GABRIEL'
if (x == 3) and r*c > 3:
return 'GABRIEL'
else:
return 'RICHARD'
lines = [line.strip() for line in open('in')]
n = lines[0]
for i in range(int(n)):
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
function main
begin
set N = integer input
set A = list map int split input
sort A
set li = list
set mm1 = A at N - 1
set mm2 = A at 0
set i = 1
while i < N - 1
begin
if A at i <= 0
begin
append li list mm1 A at i
set mm1 = mm1 - A at i
end
else
begin
append li list mm2 A at i
set mm2 = mm... | #!/usr/bin/env python3
def main():
N = int(input())
A = list(map(int,input().split()))
A.sort()
li = []
mm1 = A[N-1]
mm2 = A[0]
i = 1
while(i<N-1):
if A[i]<=0:
li.append([mm1,A[i]])
mm1 -= A[i]
else:
li.append([mm2,A[i]])
... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
import socket
import threading
from time import sleep , gmtime , strftime
from tkinter import *
import time
set master = call Tk
set ip = string localhost
set port = 18039
function C
begin
while true
begin
set data = call recv 1024
if data != b''
begin
print string client 2 recieved data d... | # -*- coding: utf-8 -*-
import socket
import threading
from time import sleep,gmtime,strftime
from tkinter import*
import time
master=Tk()
ip='localhost'
port=18039
def C():
while True:
data=s.recv(1024)
if data!=b'':
print('client 2 recieved data', data)
try:
s=socket.so... | Python | zaydzuhri_stack_edu_python |
function get_shot_angles self shot_loc
begin
return tuple call calc_yaw shot_loc call calc_pitch shot_loc
end function | def get_shot_angles(self, shot_loc):
return (self.trajectory_algo.calc_yaw(shot_loc), self.trajectory_algo.calc_pitch(shot_loc)) | Python | nomic_cornstack_python_v1 |
comment Definition for a binary tree node.
comment class TreeNode:
comment def __init__(self, x):
comment self.val = x
comment self.left = None
comment self.right = None
class Solution extends object
begin
comment Here (a,b): a is the max value that you can rob with root= this node
comment b is similar to a but without... | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
# Here (a,b): a is the max value that you can rob with root= this node
# b is similar to a but without rob the node
def r... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Thu Apr 25 18:58:34 2019 @author: DRFricke
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Thu Apr 11 17:34:52 2019 @author: DRFricke
import csv
import numpy as np
import matplotlib.pyplot as plt
import scipy.sig... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 25 18:58:34 2019
@author: DRFricke
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 11 17:34:52 2019
@author: DRFricke
"""
import csv
import numpy as np
import matplotlib.pyplot as plt
import scipy.signal as sig
from scipy... | Python | zaydzuhri_stack_edu_python |
with open string code.txt as f
begin
set content = read lines f
end
set new_content = list
for line in content
begin
append new_content strip line
end
set indent_level = 0
set no_bracket_for_indentation = false
set fo = open string new code.txt string w
for line in new_content
begin
if starts with line string }
begin
... | with open("code.txt") as f:
content = f.readlines()
new_content = []
for line in content:
new_content.append(line.strip())
indent_level = 0
no_bracket_for_indentation = False
fo = open("new code.txt", 'w')
for line in new_content:
if line.startswith('}'):
indent_level -= 1
inden... | Python | zaydzuhri_stack_edu_python |
function compare_numbers num1 num2
begin
if num1 - num2 > 0
begin
return num1
end
else
if num1 - num2 < 0
begin
return num2
end
else
begin
return string Equal
end
end function
set result = call compare_numbers 5 7
print result | def compare_numbers(num1, num2):
if num1 - num2 > 0:
return num1
elif num1 - num2 < 0:
return num2
else:
return "Equal"
result = compare_numbers(5, 7)
print(result) | Python | jtatman_500k |
import numpy as np
function loss_function output_activations y
begin
string The networks loss function. ME - Minimum Error
return output_activations - y
end function
function sigmoid z
begin
string Numpy implementation of the sigmoid function
return 1.0 / 1.0 + exp - z
end function
function sigmoid_prime z
begin
string... | import numpy as np
def loss_function(output_activations, y):
"""
The networks loss function. ME - Minimum Error
"""
return (output_activations - y)
def sigmoid(z):
"""
Numpy implementation of the sigmoid function
"""
return 1.0 / (1.0 + np.exp(-z))
def sigmoid_prime(z):
"""
... | Python | zaydzuhri_stack_edu_python |
function Double_Expand self one=- 1 two=- 1
begin
set pre = get yscroll
if one == string 0 and two == string 1 and pre at 0 != string 0 and pre at 1 != string 1
begin
comment hide scroll if inactive
call pack_forget
end
else
if pre at 0 != string 0 and pre at 1 != string 1
begin
comment show scroll if inactive and need... | def Double_Expand( self, one = -1, two = -1 ):
pre = self.yscroll.get()
if( one == '0' and two == '1' and pre[0]!='0' and pre[1]!='1' ):
#hide scroll if inactive
self.yscroll.pack_forget( )
elif( pre[0] != '0' and pre[1] != '1' ):
#show scroll if inactiv... | Python | nomic_cornstack_python_v1 |
function call S K sigma r t
begin
set v1 = call d1 S K sigma r t
set v2 = call d2 S K sigma r t
return S * call erf v1 - K * exp - r * t * call erf v2
end function | def call(S,K,sigma,r,t):
v1 = d1(S,K,sigma,r,t)
v2 = d2(S,K,sigma,r,t)
return S * erf(v1) - K * math.exp(-r*t) * erf(v2) | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
from tensorflow.python.client import device_lib
set gpus = list comprehension d for d in call list_local_devices if device_type == string GPU
print list comprehension name for g in gpus
comment Creates a graph.
with device name
begin
set a = call constant list 1.0 2.0 3.0 4.0 5.0 6.0 shape=list ... | import tensorflow as tf
from tensorflow.python.client import device_lib
gpus = [d for d in device_lib.list_local_devices()
if d.device_type == 'GPU']
print([g.name for g in gpus])
# Creates a graph.
with tf.device(gpus[1].name):
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
... | Python | zaydzuhri_stack_edu_python |
comment 파이썬 유용한 내장함수
comment 1. 실행버튼을 클릭한 후 터미널에 '안녕하세요 파이썬'을 입력해보세요.
comment k = input('<값>을 입력하세요: ')
comment 아래는 출력을 위한 코드입니다. 수정하지 마세요.
comment print('당신이 입력한 값은 <' + k + '>입니다.')
comment 실습에 사용될 변수를 선언합니다. 수정하지 마세요.
set numdata = 57
set strdata = string 파이썬
set listdata = list 1 2 3
set dictdata = dict string a 1 ... | ## 파이썬 유용한 내장함수
# 1. 실행버튼을 클릭한 후 터미널에 '안녕하세요 파이썬'을 입력해보세요.
#k = input('<값>을 입력하세요: ')
# 아래는 출력을 위한 코드입니다. 수정하지 마세요.
#print('당신이 입력한 값은 <' + k + '>입니다.')
# 실습에 사용될 변수를 선언합니다. 수정하지 마세요.
numdata = 57
strdata = '파이썬'
listdata = [1, 2, 3]
dictdata = {'a':1, 'b':2}
# 실습에 사용될 함수를 선언합니다. 수정하지 마세요.
def func():
print('안녕하... | Python | zaydzuhri_stack_edu_python |
function generate self index
begin
set line = list
append line string index
append line string dim
append line name
comment num components
append line string length comp
append line name
set comp_names = list
for comp in comp
begin
append comp_names name
end
extend line comp_names
append line string
return join strin... | def generate(self, index):
line = []
line.append(str(index))
line.append(str(self.dim))
line.append(self.name)
line.append(str(len(self.comp))) # num components
line.append(self.dpmf.name)
comp_names = []
for comp in self.comp:
comp_names.appe... | Python | nomic_cornstack_python_v1 |
function yresolution self
begin
set kw = __resolutionunitdistancekeyword
set yresolution = call Fraction *self.tags['YResolution']
return distance pixels=decimal yresolution pscale=1 / distance keyword dict kw 1 pscale=1
end function | def yresolution(self):
kw = self.__resolutionunitdistancekeyword
yresolution = fractions.Fraction(*self.tags["YResolution"])
return units.Distance(pixels=float(yresolution), pscale=1) / units.Distance(**{kw: 1}, pscale=1) | Python | nomic_cornstack_python_v1 |
function _draw self
begin
if _total == 0
begin
return
end
call _clear
print format string {0:-<{1}}{2:3d}% ({3:{5}d}/{4:{5}d}) ETA {6} string = * round _bar_width * _current / _total _bar_width round floor _current / _total * 100 _current _total _digits _remaining_time end=string
end function | def _draw(self):
if self._total == 0:
return
self._clear()
print('{0:-<{1}}{2:3d}% ({3:{5}d}/{4:{5}d}) ETA {6}'.format(
"=" * round(self._bar_width * self._current / self._total),
self._bar_width,
round(math.floor(self._current / self._total * 100... | Python | nomic_cornstack_python_v1 |
string This program made by Joe
set shapeSize = 60
comment Passed variables are translated to these member variables as they enter the def
function draw_polygon m_sides m_color m_size
begin
call pendown
call begin_fill
call color m_color
comment Function draws a circle of m_size, 360 degrees, with m_sides, making full ... | """
This program made by Joe
"""
shapeSize = 60
def draw_polygon(m_sides, m_color, m_size): # Passed variables are translated to these member variables as they enter the def
pendown()
begin_fill()
color(m_color)
circle(m_size, 360, m_sides) # Function draws a circle of m_size, 360 degrees, with m_sides... | Python | zaydzuhri_stack_edu_python |
function compute_SCL_VGBF particle fieldset time
begin
comment dt has to be in years --> 86400*365
set SCL = SCL + k * SCLmax - SCL * dt / 31536000
end function | def compute_SCL_VGBF(particle, fieldset, time):
particle.SCL = particle.SCL + fieldset.k * (fieldset.SCLmax - particle.SCL) * particle.dt / 31536000 #dt has to be in years --> 86400*365 | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import sys
import os
import fileinput
from array import *
from math import floor , log10
from optparse import OptionParser
from operator import itemgetter , attrgetter
import numpy
from decimal import *
from HEPData.ExtractionTools.hepDataClasses import *
from HEPData.ExtractionTools.hepDat... | #!/usr/bin/env python
import sys
import os
import fileinput
from array import *
from math import floor, log10
from optparse import OptionParser
from operator import itemgetter, attrgetter
import numpy
from decimal import *
from HEPData.ExtractionTools.hepDataClasses import *
from HEPData.ExtractionTools.hepDataUtilit... | Python | zaydzuhri_stack_edu_python |
function test_list_own_user_ingredients self
begin
comment Create a new user
set new_user = call mock_user email=string new_user password=string new_password
comment Create ingredients for default user
call create name=string ingredient_own_user user=user
comment Create ingredients for new user
call create name=string ... | def test_list_own_user_ingredients(self):
# Create a new user
new_user = mock_user(email='new_user', password='new_password')
# Create ingredients for default user
Ingredient.objects.create(name='ingredient_own_user', user=self.user)
# Create ingredients for new user
Ingredient.objects.create(name='ingredie... | Python | nomic_cornstack_python_v1 |
function anonymous_login self
begin
string Login as anonymous user :return: logon result, see `CMsgClientLogonResponse.eresult <https://github.com/ValvePython/steam/blob/513c68ca081dc9409df932ad86c66100164380a6/protobufs/steammessages_clientserver.proto#L95-L118>`_ :rtype: :class:`.EResult`
debug string Attempting Anon... | def anonymous_login(self):
"""Login as anonymous user
:return: logon result, see `CMsgClientLogonResponse.eresult <https://github.com/ValvePython/steam/blob/513c68ca081dc9409df932ad86c66100164380a6/protobufs/steammessages_clientserver.proto#L95-L118>`_
:rtype: :class:`.EResult`
"""
... | Python | jtatman_500k |
function get_iou bb1 bb2
begin
assert bb1 at string x1 < bb1 at string x2
assert bb1 at string y1 < bb1 at string y2
assert bb2 at string x1 < bb2 at string x2
assert bb2 at string y1 < bb2 at string y2
comment determine the coordinates of the intersection rectangle
set x_left = max bb1 at string x1 bb2 at string x1
se... | def get_iou(bb1, bb2):
assert bb1['x1'] < bb1['x2']
assert bb1['y1'] < bb1['y2']
assert bb2['x1'] < bb2['x2']
assert bb2['y1'] < bb2['y2']
# determine the coordinates of the intersection rectangle
x_left = max(bb1['x1'], bb2['x1'])
y_top = max(bb1['y1'], bb2['y1'])
x_right = min(bb1['x2... | Python | nomic_cornstack_python_v1 |
function task_progress_view request task_id
begin
if call login_required_if_login_only_mode request
begin
return call redirect string %s?next=%s % tuple LOGIN_URL path
end
set default_title = string Please wait...
set redirect_default = reverse string productdb:home
set meta_data = call get_meta_data_for_task task_id
c... | def task_progress_view(request, task_id):
if login_required_if_login_only_mode(request):
return redirect('%s?next=%s' % (settings.LOGIN_URL, request.path))
default_title = "Please wait..."
redirect_default = reverse("productdb:home")
meta_data = get_meta_data_for_task(task_id)
# title of t... | Python | nomic_cornstack_python_v1 |
from fastapi import FastAPI
from pydantic import BaseModel
from fastapi.responses import JSONResponse
from deta import Deta
set deta = call Deta
set users = call Base string fastapi-crud
set app = call FastAPI
class User extends BaseModel
begin
set name : str
set age : int
set hometown : str
end class
class UserUpdate ... | from fastapi import FastAPI
from pydantic import BaseModel
from fastapi.responses import JSONResponse
from deta import Deta
deta = Deta()
users = deta.Base("fastapi-crud")
app = FastAPI()
class User(BaseModel):
name: str
age: int
hometown: str
class UserUpdate(BaseModel):
name: str = None
age... | Python | zaydzuhri_stack_edu_python |
comment Escreva um programa que obtenha um nome de um arquivo texto do usuário e crie um processo para executar o programa do sistema Windows bloco de notas (notepad) para abrir o arquivo.
import psutil , time , os
set nome_do_arquivo = input
set diretorio = list directory
if is file path nome_do_arquivo
begin
call sys... | #Escreva um programa que obtenha um nome de um arquivo texto do usuário e crie um processo para executar o programa do sistema Windows bloco de notas (notepad) para abrir o arquivo.
import psutil, time, os
nome_do_arquivo = input()
diretorio = os.listdir()
if os.path.isfile(nome_do_arquivo):
os.system(nome_d... | Python | zaydzuhri_stack_edu_python |
function climb_to_root S seq
begin
set stack = list
while seq
begin
set tuple seq a = S at seq
append stack a
end
comment print("".join(reversed(stack)))
for a in reversed stack
begin
yield a
end
end function | def climb_to_root(S, seq):
stack = []
while seq:
seq, a = S[seq]
stack.append(a)
#print("".join(reversed(stack)))
for a in reversed(stack):
yield a | Python | nomic_cornstack_python_v1 |
function _delta self difference sample_weight=none
begin
if has attribute difference string abs
begin
set abs_diff = absolute
end
else
begin
set abs_diff = absolute difference
end
if sample_weight is none
begin
set delta = call percentile abs_diff alpha * 100
end
else
begin
set delta = call _weighted_percentile abs_dif... | def _delta(self, difference: pandas_or_numpy, sample_weight=None) -> np.float64:
if hasattr(difference, 'abs'):
abs_diff = difference.abs()
else:
abs_diff = np.abs(difference)
if sample_weight is None:
delta = np.percentile(abs_diff, self.alpha * 100)
... | Python | nomic_cornstack_python_v1 |
function to_dict self
begin
set result = dict
for tuple attr _ in call iteritems swagger_types
begin
set value = get attribute self attr
if is instance value list
begin
set result at attr = list map lambda x -> if expression has attribute x string to_dict then call to_dict else x value
end
else
if has attribute value ... | def to_dict(self):
result = {}
for attr, _ in six.iteritems(self.swagger_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
... | Python | nomic_cornstack_python_v1 |
function GetFacilityRequestStatusFull self request context
begin
call set_code UNIMPLEMENTED
call set_details string Method not implemented!
raise call NotImplementedError string Method not implemented!
end function | def GetFacilityRequestStatusFull(self, request, context):
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!') | Python | nomic_cornstack_python_v1 |
string Input is as below which includes ASVs (amplicon sequence variants) and their relative abundance per sample #SampleID Subject Sample_Number 852bfcb95375282d779f638524d195fb 9327da197cd2232a4def87f314f833a9 stool.ASD.12.1 12 1 0.080176471 0.019352941 stool.ASD.12.2 12 2 0.014823529 0.011 stool.ASD.14.1 14 1 0 0.03... | """
Input is as below which includes ASVs (amplicon sequence variants) and their
relative abundance per sample
#SampleID Subject Sample_Number 852bfcb95375282d779f638524d195fb 9327da197cd2232a4def87f314f833a9
stool.ASD.12.1 12 1 0.080176471 0.019352941
stool.ASD.12.2 12 2 0.014823529 0.011
stool.ASD.14.1 14 1 0 0.0363... | Python | zaydzuhri_stack_edu_python |
comment just for future references , how to perfom crud on tables in pyqt5
from PyQt5 import QtCore , QtGui , QtWidgets , uic
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import QTimer , QThreadPool , QThread , pyqtSignal , QObject
from PyQt5.QtWidgets import QSizePolicy , QGridLayout , QTableWidgetItem , QAction , ... | # just for future references , how to perfom crud on tables in pyqt5
from PyQt5 import QtCore, QtGui, QtWidgets , uic
from PyQt5.QtGui import QIcon
from PyQt5.QtCore import QTimer , QThreadPool , QThread , pyqtSignal , QObject
from PyQt5.QtWidgets import QSizePolicy , QGridLayout , QTableWidgetItem , QAction , QMess... | Python | zaydzuhri_stack_edu_python |
string ============== 3D scatterplot ============== Demonstration of a basic scatterplot in 3D.
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from sklearn.manifold import TSNE
import numpy as np
import readfh
set MAL_PATH = string C:\data\fh_mal_train
set BENIGN_PATH = string C:\data\fh_benign... | '''
==============
3D scatterplot
==============
Demonstration of a basic scatterplot in 3D.
'''
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from sklearn.manifold import TSNE
import numpy as np
import readfh
MAL_PATH = "C:\\data\\fh_mal_train"
BENIGN_PATH = "C:\\data\\fh_benign_train"
MAL... | Python | zaydzuhri_stack_edu_python |
import requests
set response = get requests string https://api.skypicker.com/flights params=dict string fly_from string JFK ; string fly_to string LAX ; string date_from string 01/01/2024 ; string date_to string 01/02/2024
set flights = json response at string data
print flights at 0 at string price | import requests
response = requests.get('https://api.skypicker.com/flights', params={'fly_from': 'JFK', 'fly_to': 'LAX', 'date_from': '01/01/2024', 'date_to': '01/02/2024'})
flights = response.json()['data']
print(flights[0]['price'])
| Python | flytech_python_25k |
string Given the coordinates of four points in 2D space, return whether the four points could construct a square. The coordinate (x,y) of a point is represented by an integer array with two integers. Example: Input: p1 = [0,0], p2 = [1,1], p3 = [1,0], p4 = [0,1] Output: True
class Solution
begin
function dist self p q
... | """
Given the coordinates of four points in 2D space, return whether the four points could construct a square.
The coordinate (x,y) of a point is represented by an integer array with two integers.
Example:
Input: p1 = [0,0], p2 = [1,1], p3 = [1,0], p4 = [0,1]
Output: True
"""
class Solution:
def dist(self, p,q)... | Python | zaydzuhri_stack_edu_python |
string Memory Efficient Doubly Linked List based on bitwise XOR, do not store pointer to previous and next node inplace of storing pointer to next and prev node it stores xor of prev and next node Node = {data, xor} for head node it will be {data, xor(null, next)} since prev of head is null for travarsal do the xor wit... | '''
Memory Efficient Doubly Linked List
based on bitwise XOR, do not store pointer to previous and next node
inplace of storing pointer to next and prev node it stores xor of prev and next node
Node = {data, xor}
for head node it will be {data, xor(null, next)} since prev of head is null
for travarsal do the xor with p... | Python | zaydzuhri_stack_edu_python |
comment import all the functions
comment these functions will perform different web app enumeration techniques
import sys
import requests
from funcmodule import dom_vulnerability_check
from funcmodule import search_all_vulnerabilites
from funcmodule import display_options
from bs4 import BeautifulSoup
comment we will d... | # import all the functions
# these functions will perform different web app enumeration techniques
import sys
import requests
from .funcmodule import dom_vulnerability_check
from .funcmodule import search_all_vulnerabilites
from .funcmodule import display_options
from bs4 import BeautifulSoup
# we will do the crawlin... | Python | zaydzuhri_stack_edu_python |
function get_type self
begin
return string taxonomies
end function | def get_type(self) -> str:
return "taxonomies" | Python | nomic_cornstack_python_v1 |
function popup_empty_menu self control
begin
set _cur_control = control
call PopupMenuXY menu 0 0
end function | def popup_empty_menu ( self, control ):
self._cur_control = control
control.PopupMenuXY( MakeMenu( self.empty_list_menu, self, True,
control ).menu, 0, 0 ) | Python | nomic_cornstack_python_v1 |
function expand start end tag
begin
if end - start == 1
begin
set word = words at start
for leaf in lexicon
begin
if tag == tag and word == word
begin
yield leaf
end
end
end
if tag in grammar
begin
for tags in grammar at tag
begin
for branches in call expand_all start end tags
begin
yield call Tree tag branches
end
end... | def expand(start, end, tag):
if end-start == 1:
word = words[start]
for leaf in lexicon:
if leaf.tag == tag and leaf.word == word:
yield leaf
if tag in grammar:
for tags in grammar[tag]:
for branches in expand_all(st... | Python | nomic_cornstack_python_v1 |
function storageFull N=10 D=1
begin
return N * D ^ 2 * double / GB
end function
function storageDecomposition N=10 D=1 cg=false
begin
comment WX: DxN
comment Kp: NxN
comment Kpp: NxN
comment W: ignored (1,DxD)
if cg
begin
set total = 3 * D * N + 3 * N ^ 2
end
else
begin
set total = D * N + 2 * N ^ 2
end
return total * ... | def storageFull(N=10,D=1):
return (N*D)**2*double/GB
def storageDecomposition(N=10,D=1,cg=False):
# WX: DxN
# Kp: NxN
# Kpp: NxN
# W: ignored (1,DxD)
if cg:
total=3*D*N + 3*N**2
else:
total=D*N +2*N**2
return total*double/GB
def printStorage(N=10,D=1,cg=False):
... | Python | zaydzuhri_stack_edu_python |
function make_bibtex self
begin
set filename = string ./ThesisClass/thesis_bibliography.txt
with open filename string w errors=string backslashreplace as output
begin
for p_hash in parents
begin
set p = all_papers at p_hash
set bib = call request string GET string http://dx.doi.org/ + doi headers=dict string Accept str... | def make_bibtex(self):
filename = './ThesisClass/thesis_bibliography.txt'
with open(filename, 'w', errors='backslashreplace') as output:
for p_hash in self.parents:
p = self.all_papers[p_hash]
bib = requests.request('GET', 'http://dx.doi.org/' + p.doi,
headers={'Accept':'application/x-bibtex'}, t... | Python | nomic_cornstack_python_v1 |
function _set_packagebase self variant
begin
call setEnabled variant is not none
set variant = variant
set is_package = is instance variant Package
set prev_index = call currentIndex
set disabled_tabs = set
for d in call itervalues
begin
set index = d at string index
if not d at string lazy or call currentIndex == inde... | def _set_packagebase(self, variant):
self.setEnabled(variant is not None)
self.variant = variant
is_package = isinstance(variant, Package)
prev_index = self.currentIndex()
disabled_tabs = set()
for d in self.tabs.itervalues():
index = d["index"]
i... | Python | jtatman_500k |
set nums = sorted split input string +
print join string + nums | nums = sorted(input().split('+'))
print('+'.join(nums)) | Python | zaydzuhri_stack_edu_python |
function main
begin
set N = integer input
set A = list map int split input
set mod = 10 ^ 9 + 7
set A_cum_sum = list A at - 1
for a in A at slice : : - 1 at slice 1 : :
begin
append A_cum_sum a + A_cum_sum at - 1
end
set A_cum_sum = A_cum_sum at slice : : - 1
set ans = 0
for i in range N - 1
begin
set sum_mod = A... | def main():
N = int(input())
A = list(map(int, input().split()))
mod = 10 ** 9 + 7
A_cum_sum = [A[-1]]
for a in A[::-1][1:]:
A_cum_sum.append(a + A_cum_sum[-1])
A_cum_sum = A_cum_sum[::-1]
ans = 0
for i in range(N-1):
sum_mod = A_cum_sum[i+1] % mod
mul_mod = (A[i]... | Python | zaydzuhri_stack_edu_python |
function __init__ __self__ image_id type
begin
set __self__ string image_id image_id
set __self__ string type string ManagedImage
end function | def __init__(__self__, *,
image_id: pulumi.Input[str],
type: pulumi.Input[str]):
pulumi.set(__self__, "image_id", image_id)
pulumi.set(__self__, "type", 'ManagedImage') | Python | nomic_cornstack_python_v1 |
comment Most Common Words
comment Amazon is partnering with the linguistics department at a local university to
comment analyze important works of English literature and identify patterns in word
comment usage across different eras. To ensure a cleaner output. the linguistics
comment department has provided a list of c... | # Most Common Words
# Amazon is partnering with the linguistics department at a local university to
# analyze important works of English literature and identify patterns in word
# usage across different eras. To ensure a cleaner output. the linguistics
# department has provided a list of commonly used words
# (e.g., “a... | Python | zaydzuhri_stack_edu_python |
function testRemovedAddingUser self
begin
comment Share to second viewpoint.
set tuple vp_id _ = call ShareNew _cookie2 list tuple _ep_id _photo_ids list user_id
comment Now remove user #1 from first viewpoint.
call RemoveFollowers _cookie _vp_id list user_id
comment Merge user #2 into user #3.
call MergeAccounts _cook... | def testRemovedAddingUser(self):
# Share to second viewpoint.
vp_id, _ = self._tester.ShareNew(self._cookie2, [(self._ep_id, self._photo_ids)], [self._user3.user_id])
# Now remove user #1 from first viewpoint.
self._tester.RemoveFollowers(self._cookie, self._vp_id, [self._user.user_id])
# M... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Sun Sep 22 02:35:18 2019 @author: ADMIN
comment Import NaiveBayes.py and LogisticRegression.py
import NaiveBayes as nb
import LogisticRegression as lr
set ans = string
while ans != string 3
begin
print string ---------------------------------
print string | Enter your Ch... | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 22 02:35:18 2019
@author: ADMIN
"""
#Import NaiveBayes.py and LogisticRegression.py
import NaiveBayes as nb
import LogisticRegression as lr
ans = ""
while(ans != "3"):
print("---------------------------------")
print("| Enter your Choice: |"... | Python | zaydzuhri_stack_edu_python |
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