code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment noqa
function cells_area data
begin
comment get latitudes and longitude
set lat = array values
set lon = array values
comment get ther sizes
set nlat = size
set mlon = size
comment check monotonic increase or decrease
call check_monotonic lat
call check_monotonic lon
comment get distances x and y using any 2 co... | def cells_area(data): # noqa
# get latitudes and longitude
lat = np.array(data.latitude.values)
lon = np.array(data.longitude.values)
# get ther sizes
nlat = data.latitude.size
mlon = data.longitude.size
# check monotonic increase or decrease
utils.check_monotonic(lat)
utils.chec... | Python | nomic_cornstack_python_v1 |
string Вам дан массив с числами. Нужно найти целое число, которое встречается нечетное число раз. Такое число всегда будет только одно.
set N = list 20 1 - 1 2 - 2 3 3 5 5 1 2 4 20 4 - 1 - 2 5 20 20 20 20
function func n
begin
set counter = dict
for elem in n
begin
set counter at elem = get counter elem 0 + 1
end
prin... | '''
Вам дан массив с числами. Нужно найти целое число, которое встречается нечетное число раз.
Такое число всегда будет только одно.
'''
N = [ 20, 1, -1, 2, -2, 3, 3, 5, 5, 1, 2, 4, 20, 4, -1, -2, 5, 20, 20, 20, 20 ]
def func(n):
counter = {}
for elem in n:
counter[elem] = counter.get(elem, 0) + 1
... | Python | zaydzuhri_stack_edu_python |
comment =====================================
comment --*-- coding: utf-8 --*--
comment @Author : TRHX
comment @Blog : www.itrhx.com
comment @CSDN : itrhx.blog.csdn.net
comment @FileName: 【12】Create Intervals.py
comment =====================================
function create_intervals data
begin
set tuple start end = tup... | # =====================================
# --*-- coding: utf-8 --*--
# @Author : TRHX
# @Blog : www.itrhx.com
# @CSDN : itrhx.blog.csdn.net
# @FileName: 【12】Create Intervals.py
# =====================================
def create_intervals(data):
start, end = [], []
for i in data:
if i... | Python | zaydzuhri_stack_edu_python |
function configure_ceph_keyring self key cluster_name=none
begin
set keyring_absolute_path = call configure_ceph_keyring key cluster_name
comment TODO: add support for custom permissions into charms.openstack
if exists path keyring_absolute_path
begin
comment NOTE: triliovault access the keyring as the nova user, so
co... | def configure_ceph_keyring(self, key, cluster_name=None):
keyring_absolute_path = super().configure_ceph_keyring(
key, cluster_name
)
# TODO: add support for custom permissions into charms.openstack
if os.path.exists(keyring_absolute_path):
# NOTE: triliovault acc... | Python | nomic_cornstack_python_v1 |
function add_marks marks mark
begin
return list comprehension m + mark for m in marks
end function | def add_marks(marks, mark):
return [m + mark for m in marks] | Python | jtatman_500k |
import unittest
from Connect4 import connect4_controller
from unittest.mock import patch
class AddNewPlayerTest extends TestCase
begin
string Test functionality of add_new_player function.
function setUp self
begin
set new_controller = call Connect4Controller
end function
function tearDown self
begin
del new_controller... | import unittest
from Connect4 import connect4_controller
from unittest.mock import patch
class AddNewPlayerTest(unittest.TestCase):
"""Test functionality of add_new_player function."""
def setUp(self):
self.new_controller = connect4_controller.Connect4Controller()
def tearDown(self):
del ... | Python | zaydzuhri_stack_edu_python |
from export import Writer
import csv
class CSV extends Writer
begin
function __init__ self
begin
set __headers = none
set __rows = list
end function
decorator property
function headers self
begin
return __headers
end function
decorator setter
function headers self headers
begin
set __headers = headers
end function
fun... | from export import Writer
import csv
class CSV(Writer):
def __init__(self):
self.__headers = None
self.__rows = []
@property
def headers(self):
return self.__headers
@headers.setter
def headers(self, headers):
self.__headers = headers
def add_row(self, data):... | Python | zaydzuhri_stack_edu_python |
for i in range N
begin
set S at i = input
end
sort S
for i in range N
begin
print S at i end=string
end | for i in range(N):
S[i] = input()
S.sort()
for i in range(N):
print(S[i], end = "") | Python | zaydzuhri_stack_edu_python |
function coltypes df
begin
set cols = call tolist
set floattypes = compile string ^[Ll]atitude$|^LATITUDE$|^[Ll]ongitude$|^LONGITUDE$|^ELEVATION.*?$|^[Ee]levation.*?$|^[A-Za-z]{2,4}$|^[A-Za-z]{2}[0-9]{1}$
set objectypes = compile string ^[Dd]ate.*?$|^DATE.*?$|[Yy]ear.*?$|^YEAR.*?$|^[Tt]ime$|^[Dd]ay.*?$|^[Mm]onth.*?$|^M... | def coltypes(df):
cols = df.columns.tolist()
floattypes = re.compile(r"^[Ll]atitude$|^LATITUDE$|^[Ll]ongitude$|^LONGITUDE$|^ELEVATION.*?$|^[Ee]levation.*?$|^[A-Za-z]{2,4}$|^[A-Za-z]{2}[0-9]{1}$")
objectypes = re.compile(r"^[Dd]ate.*?$|^DATE.*?$|[Yy]ear.*?$|^YEAR.*?$|^[Tt]ime$|^[Dd]ay.*?$|^[Mm]onth.*?$|^M... | Python | nomic_cornstack_python_v1 |
function change_right self player_num
begin
if player_num == 1
begin
set image = load image string player1_right.png
end
else
begin
set image = load image string player2_right.png
end
end function | def change_right(self, player_num):
if player_num == 1:
self.image = pygame.image.load("player1_right.png")
else:
self.image = pygame.image.load("player2_right.png") | Python | nomic_cornstack_python_v1 |
function add_ROCR100 self timeperiod=10 type=string line color=string tertiary **kwargs
begin
if not has_close
begin
raise exception
end
call kwargs_check kwargs VALID_TA_KWARGS
if string kind in kwargs
begin
set type = kwargs at string kind
end
set name = format string ROCR100({}) string timeperiod
set sec at name = d... | def add_ROCR100(self, timeperiod=10,
type='line', color='tertiary', **kwargs):
if not self.has_close:
raise Exception()
utils.kwargs_check(kwargs, VALID_TA_KWARGS)
if 'kind' in kwargs:
type = kwargs['kind']
name = 'ROCR100({})'.format(str(timeperiod))
self.sec[name... | Python | nomic_cornstack_python_v1 |
import sys
import multiresolutionimageinterface as mir
from queue import *
from threading import Thread
function single_file_conversion slide_num
begin
set output_path = string /mnt/ai/uni_warwick/camelyon16_dataset/training/Ground_Truth_Extracted/Mask/tumor_ + call zfill 3 + string .tif
set reader = call MultiResoluti... | import sys
import multiresolutionimageinterface as mir
from queue import *
from threading import Thread
def single_file_conversion(slide_num):
output_path = '/mnt/ai/uni_warwick/camelyon16_dataset/training/Ground_Truth_Extracted/Mask/tumor_' + str(
slide_num).zfill(3) + '.tif'
reader = mir.MultiResol... | Python | zaydzuhri_stack_edu_python |
if value > limit
begin
print string Over the limit
end | if value > limit :
print ("Over the limit")
| Python | zaydzuhri_stack_edu_python |
function test_boottime_no_network test_microvm_with_api record_property metrics
begin
set vm = test_microvm_with_api
update extra_args dict string boot-timer none
set _ = call _configure_and_run_vm vm
set boottime_us = call _test_microvm_boottime vm
print string Boot time with no network is: { boottime_us } us
call rec... | def test_boottime_no_network(test_microvm_with_api, record_property, metrics):
vm = test_microvm_with_api
vm.jailer.extra_args.update({"boot-timer": None})
_ = _configure_and_run_vm(vm)
boottime_us = _test_microvm_boottime(vm)
print(f"Boot time with no network is: {boottime_us} us")
record_prope... | Python | nomic_cornstack_python_v1 |
function sell_open_order_quantity self
begin
string [int] 卖方向挂单量
return sum generator expression unfilled_quantity for order in open_orders if side == SELL and position_effect == OPEN
end function | def sell_open_order_quantity(self):
"""
[int] 卖方向挂单量
"""
return sum(order.unfilled_quantity for order in self.open_orders if
order.side == SIDE.SELL and order.position_effect == POSITION_EFFECT.OPEN) | Python | jtatman_500k |
import numpy as np
from sklearn.datasets import load_iris
from scipy.stats import norm
import matplotlib.pyplot as plt
function load_iris_dataset
begin
set iris = call load_iris
return tuple iris at string data iris at string target
end function
function get_statistics inputs
begin
set min_vals = call amin inputs axis=... | import numpy as np
from sklearn.datasets import load_iris
from scipy.stats import norm
import matplotlib.pyplot as plt
def load_iris_dataset():
iris = load_iris()
return iris['data'], iris['target']
def get_statistics(inputs):
min_vals = np.amin(inputs, axis=0)
max_vals = np.amax(inputs, axis=0)
... | Python | zaydzuhri_stack_edu_python |
function build_R_phen S K pops phenos df map_file
begin
if K == 1
begin
return ones tuple K K
end
set tuple df pop_pheno_tuples = call filter_for_phen_corr df map_file
if length df == 0
begin
print string
print RED + string WARNING: No files specified for R_phen generation.
print string Assuming independent effects. + ... | def build_R_phen(S, K, pops, phenos, df, map_file):
if K == 1:
return np.ones((K, K))
df, pop_pheno_tuples = filter_for_phen_corr(df, map_file)
if len(df) == 0:
print("")
print(Fore.RED + "WARNING: No files specified for R_phen generation.")
print("Assuming independent effec... | Python | nomic_cornstack_python_v1 |
function app_install fn prefix=root_dir
begin
import conda.plan as plan
set index = call get_index
set actions = call install_actions prefix index list call _fn2spec fn
call execute_actions actions index
end function | def app_install(fn, prefix=config.root_dir):
import conda.plan as plan
index = get_index()
actions = plan.install_actions(prefix, index, [_fn2spec(fn)])
plan.execute_actions(actions, index) | Python | nomic_cornstack_python_v1 |
function newmodel self **kwargs
begin
set model = model keyword kwargs
set _parent = self
call _addfeature model
return model
end function | def newmodel(self, **kwargs):
model = Model(**kwargs)
model._parent = self
self._addfeature(model)
return model | Python | nomic_cornstack_python_v1 |
function serialize_link self obj *args **kwargs
begin
set resource = call get_serializer_for_object obj
assert resource
return dict string method string GET ; string href call get_href obj *args keyword kwargs ; string title call get_object_title obj *args keyword kwargs
end function | def serialize_link(self, obj, *args, **kwargs):
resource = self.get_serializer_for_object(obj)
assert resource
return {
'method': 'GET',
'href': resource.get_href(obj, *args, **kwargs),
'title': resource.get_object_title(obj, *args, **kwargs),
} | Python | nomic_cornstack_python_v1 |
function beat_period_to_tempo beat Fs
begin
set tempo = 60 / beat / Fs
return tempo
end function | def beat_period_to_tempo(beat, Fs):
tempo = 60 / (beat / Fs)
return tempo | Python | nomic_cornstack_python_v1 |
function image_url self
begin
return _image_url
end function | def image_url(self):
return self._image_url | Python | nomic_cornstack_python_v1 |
function _check_by_changing
begin
set current_settings = call read_from_archive archive_path TRAINING_SETTINGS_FILENAME
set is_changed = false
for tuple key obj in items current_settings
begin
if key == string mark_up_source
begin
if obj != training_settings at key
begin
set is_changed = true
break
end
end
else
if key ... | def _check_by_changing():
current_settings = read_from_archive(
archive_path, TRAINING_SETTINGS_FILENAME
)
is_changed = False
for key, obj in current_settings.items():
if key == "mark_up_source":
if obj != training_settings[key]:
... | Python | nomic_cornstack_python_v1 |
function classBasename self
begin
comment "<class 'foo.bar'>"
set klass = string type self
return sub string .*[\.\']([^\.]+)\'>$ string \1 klass
end function | def classBasename(self):
klass = str(type(self)) # "<class 'foo.bar'>"
return re.sub(r'.*[\.\']([^\.]+)\'>$', r'\1', klass) | Python | nomic_cornstack_python_v1 |
function resolvepy expr safe=DEFAULT_SAFE tostr=DEFAULT_TOSTR scope=DEFAULT_SCOPE besteffort=DEFAULT_BESTEFFORT
begin
string Resolve input expression. :param str expr: configuration expression to resolve in this language. :param bool safe: safe run execution context (True by default). :param bool tostr: format the resu... | def resolvepy(
expr,
safe=DEFAULT_SAFE, tostr=DEFAULT_TOSTR, scope=DEFAULT_SCOPE,
besteffort=DEFAULT_BESTEFFORT
):
"""Resolve input expression.
:param str expr: configuration expression to resolve in this language.
:param bool safe: safe run execution context (True by default).
... | Python | jtatman_500k |
function sm3_store_ad_request match pod_id
begin
set timestamp = call group string timestamp
set points = get loads call group string json string points
for point in points
begin
if get point string _debug
begin
set url = get get point string _debug string vmapRequestUrl
if url
begin
set url = join string list timesta... | def sm3_store_ad_request(match, pod_id):
timestamp = match.group('timestamp')
points = json.loads(match.group('json')).get('points')
for point in points:
if point.get('_debug'):
url = point.get('_debug').get('vmapRequestUrl')
if url:
url = ' '.join([timestamp,... | Python | nomic_cornstack_python_v1 |
import math
function check_integer num
begin
try
begin
integer num
return true
end
except ValueError
begin
return false
end
end function
function is_prime num
begin
if num < 2
begin
return false
end
for i in range 2 integer square root num + 1
begin
if num % i == 0
begin
return false
end
end
return true
end function
fu... | import math
def check_integer(num):
try:
int(num)
return True
except ValueError:
return False
def is_prime(num):
if num < 2:
return False
for i in range(2, int(math.sqrt(num)) + 1):
if num % i == 0:
return False
return True
def is_palindrome(num... | Python | greatdarklord_python_dataset |
function probs_tensor_to_list tensor
begin
set new_list = list
for sample in tensor
begin
set temp_list = list
for row in sample
begin
set sub_temp_list = list
for i in row
begin
append sub_temp_list decimal i
end
append temp_list sub_temp_list
end
append new_list temp_list
end
return new_list
end function | def probs_tensor_to_list(tensor):
new_list = []
for sample in tensor:
temp_list = []
for row in sample:
sub_temp_list = []
for i in row:
sub_temp_list.append(float(i))
temp_list.append(sub_temp_list)
... | Python | nomic_cornstack_python_v1 |
function lazy self
begin
return not stride == call shape_to_stride shape
end function | def lazy(self):
return not self.stride == shape_to_stride(self.shape) | Python | nomic_cornstack_python_v1 |
function get_z_position self focus_drive_id=none auto_focus_id=none force_recall_focus=false trials=3 reference_object_id=none verbose=true
begin
comment get communications object as link to microscope hardware
set communicatons_object = connection
set focus_drive_instance = call _get_microscope_object focus_drive_id
s... | def get_z_position(
self,
focus_drive_id=None,
auto_focus_id=None,
force_recall_focus=False,
trials=3,
reference_object_id=None,
verbose=True,
):
# get communications object as link to microscope hardware
communicatons_object = self._get_contro... | Python | nomic_cornstack_python_v1 |
function mean array
begin
set mapped = map float array
return sum mapped / length mapped
end function | def mean(array):
mapped = map(float,array)
return sum(mapped) / len(mapped)
| Python | zaydzuhri_stack_edu_python |
string Define evaluation buffers that can be used between the MTCS and the evaluation of the leaves. The advantages of using such buffer are: 1. we can seen node to the evaluator object by batch. And, in this project, the evaluation function (transformers-based NN) are more efficient when the input are sent by batches.... | """
Define evaluation buffers that can be used between the MTCS and the evaluation of the leaves.
The advantages of using such buffer are:
1. we can seen node to the evaluator object by batch. And, in this project, the evaluation function (transformers-based NN)
are more efficient when the input are sent by batches.
... | Python | zaydzuhri_stack_edu_python |
function getOwnerTuple series
begin
set resulting_names = list
set namestr = series at string name
set innerText = series at string inner text
if type namestr == float
begin
comment no name
return list
end
if find innerText string (4) != - 1
begin
return call fourNames series
end
if find innerText string (3) != - 1
b... | def getOwnerTuple(series):
resulting_names = []
namestr = series['name']
innerText = series['inner text']
if type(namestr) == float:
#no name
return []
if innerText.find('(4)') != -1:
return fourNames(series)
if innerText.find('(3)') != -1:
return threeN... | Python | nomic_cornstack_python_v1 |
string Create a bar plot showing the average value of transaction in each month between the start and end of the dataset. here we want to take the values for all the transactions for a month and add them up, then devide by the total number of transactions that month don't need to do fancy things, just the total amount ... | """Create a bar plot showing the average value of transaction in each month between the start and end of the dataset.
here we want to take the values for all the transactions for a month and add them up, then devide by the total number
of transactions that month
don't need to do fancy things, just the total amount fo... | Python | zaydzuhri_stack_edu_python |
function send_emails
begin
set cmd = string sendmail -f git@dev.rtsoft.ru
for msg in EMAIL_MESSAGES
begin
for rec in RECIPIENTS
begin
call string echo '%s' | %s %s % tuple msg cmd rec none true
end
end
end function | def send_emails():
cmd = "sendmail -f git@dev.rtsoft.ru"
for msg in EMAIL_MESSAGES:
for rec in RECIPIENTS:
call("echo '%s' | %s %s" % (msg, cmd, rec), None, True) | Python | nomic_cornstack_python_v1 |
function genbank_to_faa gbkf complexheader=false skip_pseudo=true
begin
set tuple seqs handle = call genbank_seqio gbkf
for seq in seqs
begin
for feat in features
begin
set cid = call cds_details seq feat complexheader skip_pseudo
if not cid
begin
continue
end
if string translation in qualifiers
begin
yield tuple id ci... | def genbank_to_faa(gbkf, complexheader=False, skip_pseudo=True):
seqs, handle = genbank_seqio(gbkf)
for seq in seqs:
for feat in seq.features:
cid = cds_details(seq, feat, complexheader, skip_pseudo)
if not cid:
continue
if 'tran... | Python | nomic_cornstack_python_v1 |
function get_is_pricebooks_enabled self
begin
return is_pricebooks_enabled
end function | def get_is_pricebooks_enabled(self):
return self.is_pricebooks_enabled | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Thu Jan 10 20:08:24 2019 @author: 45570
set a = integer input string Please input a number:
set b = integer input string Please input another number:
while b != 0
begin
set tuple a b = tuple b a % b
end
print string The GCD is a | # -*- coding: utf-8 -*-
"""
Created on Thu Jan 10 20:08:24 2019
@author: 45570
"""
a = int(input("Please input a number:"))
b = int(input("Please input another number:"))
while b!=0:
a, b = b, a % b
print("The GCD is ",a)
| Python | zaydzuhri_stack_edu_python |
function loadtable header rows major=string = minor=string - thousands=true
begin
string Print a tabular output, with horizontal separators
set formatted = call load_csv header rows sep=string thousands=thousands
set tuple header rows = tuple formatted at 0 formatted at slice 1 : :
return call banner header rows
end... | def loadtable(header, rows, major='=', minor='-', thousands=True):
"""
Print a tabular output, with horizontal separators
"""
formatted = load_csv(header, rows, sep=" ", thousands=thousands)
header, rows = formatted[0], formatted[1:]
return banner(header, rows) | Python | jtatman_500k |
string Input: 00000000000000000000000000001011 Output: 3
class Solution extends object
begin
function hammingWeight self n
begin
string :type n: int :rtype: int
if not n
begin
return 0
end
set count = 0
while n != 0
begin
set count = count + 1
set n = n ? n - 1
end
return count
end function
function hammingWeight self ... | """
Input: 00000000000000000000000000001011
Output: 3
"""
class Solution(object):
def hammingWeight(self, n):
"""
:type n: int
:rtype: int
"""
if not n:
return 0
count = 0
while n != 0:
count += 1
n = n & (n-1)
ret... | Python | zaydzuhri_stack_edu_python |
function delete_many self *keys
begin
remove collection dict string _id dict string $in keys
return true
end function | def delete_many(self, *keys):
self.collection.remove({'_id': {'$in': keys}})
return True | Python | nomic_cornstack_python_v1 |
string Created: @Chandi_Bhandari for Teaching for ML Student Nearest Neighbor Method: Using Association Rule
comment importing the general packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import sys
comment to generate all permutation and combination
import itertools... | '''
Created: @Chandi_Bhandari for Teaching for ML Student
Nearest Neighbor Method: Using Association Rule
'''
# importing the general packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import sys
# to generate all permutation and combination
import itertool... | Python | zaydzuhri_stack_edu_python |
import io
import math
import os
import sys
from dotenv import load_dotenv
import pandas as pd
import requests
call load_dotenv
comment https://epc.opendatacommunities.org/docs/api/domestic#domestic-pagination
set API_RESULT_LIMIT = 10000
set API_PAGE_SIZE_LIMIT = 5000
function get_api_credentials
begin
set user = call ... | import io
import math
import os
import sys
from dotenv import load_dotenv
import pandas as pd
import requests
load_dotenv()
# https://epc.opendatacommunities.org/docs/api/domestic#domestic-pagination
API_RESULT_LIMIT = 10000
API_PAGE_SIZE_LIMIT = 5000
def get_api_credentials():
user = os.getenv('EPC_API_USER')... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string /** * created by M. Im 2017-08-03 */
function get_paths directory
begin
import os
try
begin
exists path directory
return list comprehension join path directory f for f in list directory directory
end
except any
begin
print string Path doesn't exists or it is not a directory!
end
end... | # -*- coding: utf-8 -*-
'''/**
* created by M. Im 2017-08-03
*/'''
def get_paths(directory):
import os
try:
os.path.exists(directory)
return [os.path.join(directory,f) for f in os.listdir(directory)]
except:
print('Path doesn\'t exists or it is not a directory! ... | Python | zaydzuhri_stack_edu_python |
function update self json_path
begin
with open json_path as f
begin
set params = load json f
update __dict__ params
end
end function | def update(self, json_path):
with open(json_path) as f:
params = json.load(f)
self.__dict__.update(params) | Python | nomic_cornstack_python_v1 |
string This script is a benchmark to test different FIR filter on real time implementation (sample by sample) Author. Gabriel Galeote Checa email: gabriel@imse-cnm.csic.es GNU license
import matplotlib.pylab as plt
import numpy as np
from scipy import signal
import iir
comment Set your sampling frequency
comment Hertz
... | """
This script is a benchmark to test different FIR filter on real time implementation (sample by sample)
Author. Gabriel Galeote Checa
email: gabriel@imse-cnm.csic.es
GNU license
"""
import matplotlib.pylab as plt
import numpy as np
from scipy import signal
import iir
#Set your sampling frequency
fs ... | Python | zaydzuhri_stack_edu_python |
class Node
begin
function __init__ self node=none value=none
begin
set value = value
set pRight = none
set pLeft = node
if node != none
begin
set pRight = self
end
end function
end class
class LinkedList
begin
function __init__ self
begin
set pHead = call Node
set pLast = pHead
set len = 0
end function
function __getno... | class Node:
def __init__(self,node=None,value=None):
self.value=value
self.pRight=None
self.pLeft=node
if node!=None:
node.pRight=self
class LinkedList:
def __init__(self):
self.pHead=Node()
self.pLast=self.pHead
self.len=0
def __getnode__... | Python | zaydzuhri_stack_edu_python |
import os
import requests
function call_api request
begin
set api_key = get environ string API_KEY
set endpoint = get environ string ENDPOINT
set response = get requests endpoint params=dict string api_key api_key
return json response
end function
if __name__ == string __main__
begin
set environ at string API_KEY = str... | import os
import requests
def call_api(request):
api_key = os.environ.get('API_KEY')
endpoint = os.environ.get('ENDPOINT')
response = requests.get(endpoint, params={'api_key': api_key})
return response.json()
if __name__ == '__main__':
os.environ['API_KEY'] = 'abc1234'
os.environ['ENDPOINT'] = 'https://exampl... | Python | flytech_python_25k |
import AST
from SymbolTable import Scope
from collections import defaultdict
from dataclasses import dataclass
decorator dataclass
class ArrayT
begin
set dims : int
set eltype : any
set size : any
function __hash__ self
begin
return call hash tuple dims eltype size
end function
end class
set AnyT = string any
set IntT ... | import AST
from SymbolTable import Scope
from collections import defaultdict
from dataclasses import dataclass
@dataclass
class ArrayT:
dims: int
eltype: any
size: any
def __hash__(self):
return hash((self.dims, self.eltype, self.size))
AnyT = 'any'
IntT = 'int'
FloatT = 'float'
StringT = 's... | Python | zaydzuhri_stack_edu_python |
from const import Matrix
import math
import random
class LinerModel
begin
function __init__ self m_x m_y **query
begin
set b = call LUP_inverse * transpose m_x * m_y
end function
function predict self m_x
begin
return integer round value at 0 at 0
end function
end class
class RidgeModel
begin
function __init__ self m_x... | from const import Matrix
import math
import random
class LinerModel:
def __init__(self, m_x, m_y, **query):
self.b = (m_x.transpose() * m_x).LUP_inverse() * m_x.transpose() * m_y
def predict(self, m_x):
return int(round((m_x * self.b).value[0][0]))
class RidgeModel:
def __init__(self,m_... | Python | zaydzuhri_stack_edu_python |
comment # 迭代器
comment list = [2,3,4,5,6,7]
comment it = iter(list)
comment a = next(it)
comment print(a)
comment a_list = input("请输入符合条件的单词：")
comment b = a_list.split()
comment print(b)
comment c =len(b[1])
comment print(c)
comment word_list = input().split(' ')
comment last_word = word_list[-1]
comment print(len(last... | # # 迭代器
# list = [2,3,4,5,6,7]
# it = iter(list)
# a = next(it)
#
# print(a)
# a_list = input("请输入符合条件的单词：")
# b = a_list.split()
# print(b)
# c =len(b[1])
# print(c)
# word_list = input().split(' ')
# last_word = word_list[-1]
# print(len(last_word))awd
# a = input().lower()
# # b= input().lower()
# # c = a.count... | Python | zaydzuhri_stack_edu_python |
function standardize *args **kwargs
begin
set channels = pop kwargs string channels list
set copy = pop kwargs string copy false
set reg = pop kwargs string reg 10 ^ - 10
if length kwargs
begin
raise call TypeError format string following kwargs are invalid: {} kwargs
end
assert length args > 0
comment treat channels p... | def standardize(*args, **kwargs):
channels = kwargs.pop('channels', [])
copy = kwargs.pop('copy', False)
reg = kwargs.pop('reg', 10**-10)
if len(kwargs):
raise TypeError('following kwargs are invalid: {}'.format(kwargs))
assert len(args) > 0
# treat channels properly
if channels ... | Python | nomic_cornstack_python_v1 |
function build_person first_name last_name age=string
begin
set person = dict string first first_name ; string last last_name
if age
begin
set person at string age = age
end
return person
end function | def build_person(first_name, last_name, age=''):
person = {'first': first_name, 'last': last_name}
if age:
person['age'] = age
return person | Python | nomic_cornstack_python_v1 |
function check_ev n
begin
if n % 2 == 0
begin
return true
end
else
begin
return false
end
end function
function check_odd n
begin
if n % 2 != 0
begin
return true
end
else
begin
return false
end
end function
function check_prime n
begin
for a in range 3 n + 1
begin
if n % a == 0
begin
return false
end
end
for else
begin... | def check_ev(n):
if(n%2==0):
return True
else:
return False
def check_odd(n):
if(n%2!=0):
return True
else:
return False
def check_prime(n):
for a in range(3,n+1):
if(n%a==0):
return False
else:
return True
def check_armstro... | Python | zaydzuhri_stack_edu_python |
function total_ducks_in_pond
begin
comment 50%
set percentage_muscovy = 0.5
comment 30%
set percentage_female_muscovy = 0.3
comment as given in the problem
set female_muscovy_ducks = 6
comment Set up the equation: 0.30 * (0.50 * D) = 6
comment D = 6 / (0.30 * 0.50)
set total_ducks = female_muscovy_ducks / percentage_fe... | def total_ducks_in_pond():
percentage_muscovy = 0.50 # 50%
percentage_female_muscovy = 0.30 # 30%
female_muscovy_ducks = 6 # as given in the problem
# Set up the equation: 0.30 * (0.50 * D) = 6
# D = 6 / (0.30 * 0.50)
total_ducks = female_muscovy_ducks / (percentage_female_muscovy * percenta... | Python | dbands_pythonMath |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
comment Author: Wangzhenqing <wangzhenqing1008@163.com>
comment Date: 2015年01月28日13:06:13
string Problem 4: Write a function treemap to map a function over nested list.
function treemap f a y=none
begin
string >>> treemap(lambda x: x*x, [1, 2, [3, 4, [5]]]) [1,... | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Wangzhenqing <wangzhenqing1008@163.com>
# Date: 2015年01月28日13:06:13
"""
Problem 4: Write a function treemap to map a function over nested list.
"""
def treemap(f, a, y=None):
"""
>>> treemap(lambda x: x*x, [1, 2, [3, 4, [5]]])
[1, 4, [9, 16... | Python | zaydzuhri_stack_edu_python |
function factorial n
begin
comment Check if the input is a non-negative integer
if not is instance n int or n < 0
begin
raise call ValueError string Input must be a non-negative integer
end
comment Base case: factorial of 0 is 1
if n == 0
begin
return 1
end
comment Recursive case
comment Check if the factorial has alre... | def factorial(n):
# Check if the input is a non-negative integer
if not isinstance(n, int) or n < 0:
raise ValueError("Input must be a non-negative integer")
# Base case: factorial of 0 is 1
if n == 0:
return 1
# Recursive case
# Check if the factorial has already been ... | Python | jtatman_500k |
import bpy
function generate_cube_mesh parameter
begin
set verts = list tuple 0 0 0 tuple 1 0 0 tuple 1 1 0 tuple 0 1 0 tuple 0 0 parameter tuple 1 0 parameter tuple 1 1 parameter tuple 0 1 parameter
set edges = list tuple 0 1 tuple 1 2 tuple 2 3 tuple 3 0 tuple 4 5 tuple 5 6 tuple 6 7 tuple 7 4 tuple 0 4 tuple 1 5 tup... | import bpy
def generate_cube_mesh(parameter):
verts = [(0, 0, 0), (1, 0, 0), (1, 1, 0), (0, 1, 0), (0, 0, parameter), (1, 0, parameter), (1, 1, parameter), (0, 1, parameter)]
edges = [(0, 1), (1, 2), (2, 3), (3, 0), (4, 5), (5, 6), (6, 7), (7, 4), (0, 4), (1, 5), (2, 6), (3, 7)]
mesh = bpy.data.meshes.ne... | Python | jtatman_500k |
function dequip equipment_list slot item
begin
if equipment_list at slot == item
begin
set equipment_list at slot = none
return true
end
else
begin
return false
end
end function | def dequip(equipment_list, slot, item):
if equipment_list[slot] == item:
equipment_list[slot] = None
return True
else:
return False | Python | nomic_cornstack_python_v1 |
for j in range 1 integer input
begin
set l = list
set f = j
set m = 0
while j > 0
begin
set a = j % 10
set j = j // 10
append l a
end
for tuple key value in enumerate l at slice : : - 1
begin
if count l key != value
begin
break
end
end
for else
begin
print f
end
end | for j in range(1,int(input())):
l=[]
f=j
m=0
while j>0:
a=j%10
j=j//10
l.append(a)
for key,value in enumerate(l[::-1]):
if l.count(key)!=value:
break
else:
print(f) | Python | zaydzuhri_stack_edu_python |
function get_action_value self
begin
set restart_current = call isChecked
set restart_all = call isChecked
set no_restart = not any list restart_all restart_current
return tuple restart_all restart_current no_restart
end function | def get_action_value(self):
restart_current = self._restart_current.isChecked()
restart_all = self._restart_all.isChecked()
no_restart = not any([restart_all, restart_current])
return restart_all, restart_current, no_restart | Python | nomic_cornstack_python_v1 |
function calculate_sum my_list
begin
comment Create an empty set to store unique elements
set unique_elements = set
comment Iterate through each element in the list
for element in my_list
begin
comment Add the element to the set
add unique_elements element
end
comment Initialize the sum to 0
set sum_of_elements = 0
com... | def calculate_sum(my_list):
# Create an empty set to store unique elements
unique_elements = set()
# Iterate through each element in the list
for element in my_list:
# Add the element to the set
unique_elements.add(element)
# Initialize the sum to 0
sum_of_elements = 0
... | Python | jtatman_500k |
function get_curr_prices index_list url
begin
set curr_prices = dict
for tuple symbol name in items index
begin
comment create url with index symbol
set new_url = format url symbol symbol
comment get the index html data from yahoo finance
set r = get requests new_url
comment save name and price information in dictiona... | def get_curr_prices(index_list, url):
curr_prices = {}
for symbol, name in index.items():
# create url with index symbol
new_url = url.format(symbol, symbol)
# get the index html data from yahoo finance
r = requests.get(new_url)
# save... | Python | nomic_cornstack_python_v1 |
class Person
begin
function __init__ self name surname number
begin
set name = name
set surname = surname
set number = number
end function
end class
class LearnerMixin
begin
function __init__ self
begin
set classes = list
end function
function enrol self course
begin
append classes course
end function
end class
class ... | class Person:
def __init__(self, name, surname, number):
self.name = name
self.surname = surname
self.number = number
class LearnerMixin:
def __init__(self):
self.classes = []
def enrol(self, course):
self.classes.append(course)
class TeacherMixin:
def __init... | Python | zaydzuhri_stack_edu_python |
while true
begin
set tuple valor1 valor2 = map int split input
if valor1 <= 0 or valor2 <= 0
begin
break
end
set maior = if expression valor1 > valor2 then valor1 else valor2
set menor = if expression valor2 < valor1 then valor2 else valor1
if maior > menor
begin
set x = maior
set maior = menor
set menor = x
end
set so... | while True:
valor1, valor2 = map(int, input().split())
if valor1 <= 0 or valor2 <= 0:
break
maior = valor1 if valor1 > valor2 else valor2
menor = valor2 if valor2 < valor1 else valor1
if maior > menor:
x = maior
maior = menor
menor = x
soma = 0
while maio... | Python | zaydzuhri_stack_edu_python |
import sys
import random
import signal
import time
import copy
class TimedOutExc extends Exception
begin
pass
end class
function handler signum frame
begin
comment print 'Signal handler called with signal', signum
raise call TimedOutExc
end function
class Player16
begin
function __init__ self
begin
set Approx_win_score... | import sys
import random
import signal
import time
import copy
class TimedOutExc(Exception):
pass
def handler(signum, frame):
#print 'Signal handler called with signal', signum
raise TimedOutExc()
class Player16():
def __init__(self):
self.Approx_win_score=11
self.Board_weight=31
self.win_score=10**6
sel... | Python | zaydzuhri_stack_edu_python |
function pop_prefix self
begin
pop _prefix_stack
set _prefix_str = join string _prefix_stack
end function | def pop_prefix(self):
self._prefix_stack.pop()
self._prefix_str = "".join(self._prefix_stack) | Python | nomic_cornstack_python_v1 |
function importInterface
begin
if call _master_checks and call _check_plugin string MYSQL_FIREWALL
begin
if not call _exec_bulk_inject_firewall_rules
begin
print string [1mERROR:[0m Please Check Interface Table MYSQL_SECURITY_METADATA.FIREWALL_WHITELIST, ABORTED !
print string Run security.addFirewallInterface() if t... | def importInterface():
if _master_checks() and _check_plugin('MYSQL_FIREWALL'):
if not _exec_bulk_inject_firewall_rules():
print("\n\033[1mERROR:\033[0m Please Check Interface Table MYSQL_SECURITY_METADATA.FIREWALL_WHITELIST, ABORTED ! \n")
print("Run security.addFirewallInterface() ... | Python | nomic_cornstack_python_v1 |
function main_layout app data content
begin
set layout = call Div list call Header call get_header app data call Main id=string page-content children=list content call Footer call get_footer
return layout
end function | def main_layout(app: dash.Dash, data: GameData, content: html) -> html:
layout = html.Div([
html.Header(get_header(app, data)),
html.Main(id='page-content', children=[content]),
html.Footer(get_footer())
])
return layout | Python | nomic_cornstack_python_v1 |
function hd_to_ang_v hd_activations centers jitter=0.01
begin
set n_samples = shape at 0
set indices = argument maximum hd_activations axis=1
set angs = centers at indices + call normal loc=0 scale=jitter size=tuple n_samples
comment Note: 1D array needs a vstack and a transpose instead of an hstack for the shape to be... | def hd_to_ang_v(hd_activations, centers, jitter=0.01):
n_samples = hd_activations.shape[0]
indices = np.argmax(hd_activations, axis=1)
angs = centers[indices] + np.random.normal(loc=0, scale=jitter, size=(n_samples,))
# Note: 1D array needs a vstack and a transpose instead of an hstack for the shape... | Python | nomic_cornstack_python_v1 |
function test_load_excel self
begin
set xl_project = call Project string test_excel
set ideal_iris = call load_dataset string iris
set actual_iris = call load_dataset string iris
call assertDataFrameEqual ideal_iris actual_iris
end function | def test_load_excel(self):
xl_project = pr.Project("test_excel")
ideal_iris = self.project.load_dataset("iris")
actual_iris = xl_project.load_dataset("iris")
self.assertDataFrameEqual(ideal_iris, actual_iris) | Python | nomic_cornstack_python_v1 |
import re
import nltk
import ngdl_classes
import global_vars
import ngdl_parse
import ngdl_write
function start_dialog output_file=string test.txt
begin
if not initialized
begin
call init
end
else
begin
call reset_global_vars
end
set output = open output_file string w
end function | import re
import nltk
import ngdl_classes
import global_vars
import ngdl_parse
import ngdl_write
def start_dialog(output_file="test.txt"):
if not global_vars.initialized:
global_vars.init()
else:
reset_global_vars()
output = open(output_file, "w") | Python | jtatman_500k |
function _parse_dict dct
begin
return dictionary comprehension split k string : 1 at - 1 : v for tuple k v in items dct
end function | def _parse_dict(dct):
return {k.split(":", 1)[-1]: v for k, v in dct.items()} | Python | nomic_cornstack_python_v1 |
function testExtendedSuccessMessageWithCreatedIDs self
begin
set json_message = json_message
set msg = call json_message true message=string Test created=list 1 2 3
set msg = loads msg
assert equal length msg 4
assert equal msg at string status string success
assert equal msg at string statuscode string 200
assert equa... | def testExtendedSuccessMessageWithCreatedIDs(self):
json_message = current.xml.json_message
msg = json_message(True, message="Test", created=[1, 2, 3])
msg = json.loads(msg)
self.assertEqual(len(msg), 4)
self.assertEqual(msg["status"], "success")
self.assertEqual(msg["s... | Python | nomic_cornstack_python_v1 |
from random import choice , sample , random
from string import letters , printable
comment Population Generator #####
class Generation
begin
function __init__ self population_size individual_size values
begin
set population_size = population_size
set individual_size = individual_size
set values = values
end function
co... | from random import choice, sample, random
from string import letters, printable
##### Population Generator #####
class Generation():
def __init__(self, population_size, individual_size, values):
self.population_size = population_size
self.individual_size = individual_size
self.values = values
##### Mathemati... | Python | zaydzuhri_stack_edu_python |
function postorder_traversal self
begin
comment Reset to to guarantee we start from root.
call reset
comment Go down to the first leaf.
while call can_move_down
begin
call down
end
comment Traverse forever (or until we break on some ending condition).
while true
begin
comment Yield the current node.
set yielded_node = ... | def postorder_traversal(self) -> Generator[MappingTree, None, None]:
# Reset to to guarantee we start from root.
self.reset()
# Go down to the first leaf.
while self.can_move_down():
self.down()
# Traverse forever (or until we break on some ending condition).
... | Python | nomic_cornstack_python_v1 |
import random
comment creates list
set num = list
comment appeds a random int between 0 and 100 to the list 10 times creating a list with 10 rand ints between 0 and 100
for values in range 0 10
begin
append num random integer 0 100
end
comment prints list
print num
comment prints min of list
print min num
comment prin... | import random
num=[ ]#creates list
for values in range(0,10):#appeds a random int between 0 and 100 to the list 10 times creating a list with 10 rand ints between 0 and 100
num.append(random.randint(0,100))
print(num)#prints list
print(min(num))#prints min of list
print(max(num))#prints max of list
print(sum(num)/... | Python | zaydzuhri_stack_edu_python |
class MathDojo extends object
begin
function __init__ self *args
begin
set result = 0
end function
function add self *args
begin
comment *args can take multiple arguments into one parameter
for val in args
begin
if type val == list or type val == tuple
begin
comment takes value of integers within lists and tuples into ... | class MathDojo(object):
def __init__(self, *args):
self.result=0
def add(self, *args):
# *args can take multiple arguments into one parameter
for val in args:
if type(val)== list or type(val) == tuple:
# takes value of integers within lists and tuples into account
for i in val:
self.result+=i
... | Python | zaydzuhri_stack_edu_python |
import pandas as pd
from sklearn import preprocessing
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
import numpy as np
set df = read csv string ../data/CSV/p53_33%_(5,409 fields, 10,231 records).csv low_memory=false
set df = drop missing replace df string $null$ nan
set num_active = length df at... | import pandas as pd
from sklearn import preprocessing
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv("../data/CSV/p53_33%_(5,409 fields, 10,231 records).csv", low_memory=False)
df = df.replace('$null$', np.nan).dropna()
num_active = len(df[df['in... | Python | zaydzuhri_stack_edu_python |
function write_swap_all self
begin
for pd_desc in keys _cache
begin
call write_swap pd_desc
end
end function | def write_swap_all(self):
for pd_desc in self._cache.keys():
self.write_swap(pd_desc) | Python | nomic_cornstack_python_v1 |
function init_GD_model self
begin
function emb_init_wrapper target_params
begin
function emb_init shape dtype=none
begin
return target_params
end function
return emb_init
end function
comment Network inputs
set emb_index = input shape=tuple 1 name=string pred_emb_index
comment Retrieve the predicted parameters from the... | def init_GD_model(self):
def emb_init_wrapper(target_params):
def emb_init(shape, dtype=None):
return target_params
return emb_init
# Network inputs
emb_index = Input(shape=(1,), name="pred_emb_index")
# Retrieve the predicted parameters from the... | Python | nomic_cornstack_python_v1 |
function red_fish target_size=none rgb=true
begin
return call imread HERE + string red_fish.jpg target_size=target_size rgb=rgb
end function | def red_fish(target_size: Optional[Tuple[int, int]] = None, rgb: bool = True) -> Tensor:
return imread(HERE+'red_fish.jpg', target_size=target_size, rgb=rgb) | Python | nomic_cornstack_python_v1 |
function calmar_ratio returns period=DAILY annualization=none
begin
string Determines the Calmar ratio, or drawdown ratio, of a strategy. Parameters ---------- returns : pd.Series or np.ndarray Daily returns of the strategy, noncumulative. - See full explanation in :func:`~empyrical.stats.cum_returns`. period : str, op... | def calmar_ratio(returns, period=DAILY, annualization=None):
"""
Determines the Calmar ratio, or drawdown ratio, of a strategy.
Parameters
----------
returns : pd.Series or np.ndarray
Daily returns of the strategy, noncumulative.
- See full explanation in :func:`~empyrical.stats.cum... | Python | jtatman_500k |
function get_w2v
begin
set model = load Word2Vec string model/person.model
with open string data/vec.txt string w as f
begin
for word in keys vocab
begin
set vec_string = replace replace replace replace call array2string wv at word string [ string string ] string string [ string string string
set line = format string ... | def get_w2v():
model = word2vec.Word2Vec.load('model/person.model')
with open('data/vec.txt', 'w') as f:
for word in model.wv.vocab.keys():
vec_string = np.array2string(model.wv[word]).replace('[ ', '').replace(']', '').replace('[', '').replace('\n', '')
line = "{0} {1}\n".format... | Python | nomic_cornstack_python_v1 |
function psd_units self c psd=none
begin
set dev = call selectedDevice c
set units = dict string OFF 0 ; string ON 1
if psd is none
begin
set resp = yield query dev string PSDU?0
set psd = call long resp
end
else
begin
if is instance psd str
begin
if upper psd not in units
begin
raise exception string Can only turn ON ... | def psd_units(self, c, psd=None):
dev = self.selectedDevice(c)
units = {
'OFF': 0,
'ON': 1,
}
if psd is None:
resp = yield dev.query('PSDU?0')
psd = long(resp)
else:
if isinstance(psd, str):
if psd.up... | Python | nomic_cornstack_python_v1 |
comment # To add a new cell, type '# %%'
comment # To add a new markdown cell, type '# %% [markdown]'
comment # %%
comment # Write a Python program to flip a coin 1000 times and count heads and tails.
comment ______ ra__
comment ______ it..
comment results _ {
comment 'heads': 0,
comment 'tails': 0,
comment }
comment s... | # # To add a new cell, type '# %%'
# # To add a new markdown cell, type '# %% [markdown]'
# # %%
# # Write a Python program to flip a coin 1000 times and count heads and tails.
#
# ______ ra__
# ______ it..
#
# results _ {
# 'heads': 0,
# 'tails': 0,
# }
#
# sides _ li.. ?.k..
#
# ___ i __ ra.. 10000
# ? ra... | Python | zaydzuhri_stack_edu_python |
string Class for simulating and measuring performance over a single day on a mean reversion strategy.
import pandas as pd
from pandas.stats.moments import rolling_mean
from Tools import average_true_range , snf , test_fixed_stop_target , test_fixed_bar_exit
comment DATA_DIR = "/Users/peterharrington/Documents/GitHub/ev... | """
Class for simulating and measuring performance over a single day on a mean reversion
strategy.
"""
import pandas as pd
from pandas.stats.moments import rolling_mean
from Tools import average_true_range, snf, test_fixed_stop_target, test_fixed_bar_exit
#DATA_DIR = "/Users/peterharrington/Documents/GitHub/evolvingt... | Python | zaydzuhri_stack_edu_python |
class Solution extends object
begin
function maxProfit self prices
begin
set max_profit = 0
append prices - 1
set buy_price = none
for i in range length prices - 1
begin
comment Need to buy
if buy_price is none
begin
if prices at i + 1 > prices at i
begin
set buy_price = prices at i
end
end
else
comment Need to sell
if... | class Solution(object):
def maxProfit(self, prices):
max_profit = 0
prices.append(-1)
buy_price = None
for i in range(len(prices) - 1):
if buy_price is None: # Need to buy
if prices[i+1] > prices[i]:
buy_price = prices[i]
e... | Python | zaydzuhri_stack_edu_python |
function traverse node
begin
for child in node
begin
call traverse child
end
call apply_change node
end function | def traverse(node: Node):
for child in node:
traverse(child)
self.apply_change(node) | Python | nomic_cornstack_python_v1 |
function type_guess df strict=false
begin
set guesses = list
set types = list _STRING_TYPE _INTEGER_TYPE _DECIMAL_TYPE _BOOLEAN_TYPE _DATE_TYPE
set type_instances = list comprehension i for t in types for i in call instances
if strict
begin
set at_least_one_value = list
for row in call iterrows
begin
comment ri = row... | def type_guess(df, strict=False):
guesses = []
types = [_STRING_TYPE, _INTEGER_TYPE, _DECIMAL_TYPE, _BOOLEAN_TYPE, _DATE_TYPE]
type_instances = [i for t in types for i in t.instances()]
if strict:
at_least_one_value = []
for row in df.iterrows():
# ri = row[0]
cel... | Python | nomic_cornstack_python_v1 |
function F k
begin
string With exactly k digits, return the number of ways to have numbers that do not have 0, 1 or A
return 14 + 14 + 15 * 15 ^ k - 1 - 13 + 14 + 14 * 14 ^ k - 1 + 13 * 13 ^ k - 1
end function
comment Numbers that dont have 1, A, or 0
comment Numbers that dont have 1 + A, 1 + 0, A + 0
comment Numbers t... | def F( k ):
""" With exactly k digits, return the number of ways
to have numbers that do not have 0, 1 or A """
return (
# Numbers that dont have 1, A, or 0
( 14 + 14 + 15 ) * 15 ** ( k - 1 ) -
# Numbers that dont have 1 + A, 1 + 0, A + 0
( 13 + 14 + 14 ) * 14 ** ( k - 1 ) +... | Python | zaydzuhri_stack_edu_python |
import pygame
from pygame.sprite import Sprite
class Bullet extends Sprite
begin
function __init__ self ai_game
begin
call __init__
set shanbi = true
set time = - 1
set speed = bul_speed
set screen = screen
set settings = settings
end function
function update self
begin
set y = y - speed
set y = y
end function
function... | import pygame
from pygame.sprite import Sprite
class Bullet(Sprite):
def __init__(self,ai_game):
super().__init__()
self.shanbi = True
self.time = -1
self.speed = ai_game.ship.bul_speed
self.screen = ai_game.screen
self.settings = ai_game.settings
def update(se... | Python | zaydzuhri_stack_edu_python |
import requests
import re
function get_one_page url
begin
set headers = dict string User-Agent string Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:70.0) Gecko/20100101 Firefox/70.0
set reponse = get requests url headers=headers
if status_code == 200
begin
return text
end
return none
end function
function main
begin
set ... | import requests
import re
def get_one_page(url):
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:70.0) Gecko/20100101 Firefox/70.0'}
reponse = requests.get(url, headers=headers)
if reponse.status_code == 200:
return reponse.text
return None
def main():
url = 'https:... | Python | zaydzuhri_stack_edu_python |
from sklearn.cluster import KMeans
from sklearn.cluster import MeanShift , estimate_bandwidth
import numpy as np
import operator
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
function get_random_data
begin
set x1 = uniform - 1 1 100
set y1 = uniform - 1 1 100
set z1 = uniform - 1 1 100
se... | from sklearn.cluster import KMeans
from sklearn.cluster import MeanShift, estimate_bandwidth
import numpy as np
import operator
from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def get_random_data():
x1 = np.random.uniform(-1, 1, 100)
y1 = np.random.uniform(-1, 1, 100)
z1 = np.... | Python | zaydzuhri_stack_edu_python |
from ExpertSystem.Business.Parser.KnowledgeBase.RulesListener import RulesListener
from ExpertSystem.Structure.Enums import LogicalOperator
from ExpertSystem.Structure.RuleBase import Rule , Expression , ExpressionNode
if __name__ is not none and string . in __name__
begin
from RulesParser import RulesParser
end
else
b... | from ExpertSystem.Business.Parser.KnowledgeBase.RulesListener import RulesListener
from ExpertSystem.Structure.Enums import LogicalOperator
from ExpertSystem.Structure.RuleBase import Rule, Expression, ExpressionNode
if __name__ is not None and "." in __name__:
from .RulesParser import RulesParser
else:
from R... | Python | zaydzuhri_stack_edu_python |
comment visulaise windturbine in a world map or respective country map
comment Default plot all wind turbines on a world map
function plot_windturbine csv_path country=string world
begin
import pandas as pd
import matplotlib.pyplot as plt
import descartes
import geopandas as gpd
from shapely.geometry import Point , Pol... | #visulaise windturbine in a world map or respective country map
#Default plot all wind turbines on a world map
def plot_windturbine(csv_path,country='world'):
import pandas as pd
import matplotlib.pyplot as plt
import descartes
import geopandas as gpd
from shapely.geometry import Point, Polygon
import os
base_... | Python | zaydzuhri_stack_edu_python |
function fairRations queue
begin
set count = 0
set index = 0
set should_increment = false
while index < length queue - 1
begin
set current_val = queue at index
set next_val = queue at index + 1
if should_increment
begin
set current_val = current_val + 1
end
set is_current_odd = current_val % 2 == 1
set is_next_even = n... | def fairRations(queue) -> str:
count = 0
index = 0
should_increment = False
while index < len(queue) - 1:
current_val = queue[index]
next_val = queue[index + 1]
if should_increment:
current_val += 1
is_current_odd = current_val % 2 == 1
is_next_even... | Python | nomic_cornstack_python_v1 |
function build_tree df
begin
comment initialize empty tree as a dictionary
set tree = dict
comment find column associated with best information gain
set next_att = call best_inf_gain_att df
comment next_att = find_winner(df)
set tree at next_att = dict
comment for each value of the attribute at hand
for val in unique... | def build_tree(df) -> dict:
# initialize empty tree as a dictionary
tree = {}
# find column associated with best information gain
next_att = best_inf_gain_att(df)
# next_att = find_winner(df)
tree[next_att] = {}
# for each value of the attribute at hand
for val in np.unique(df[... | Python | nomic_cornstack_python_v1 |
for x in range 0 q
begin
set queries = call raw_input
set queries = split queries
set l = integer queries at 0
set r = integer queries at 1
set x = integer queries at 2
for y in range l - 1 r - 1
begin
set num = integer array at y
set k = num
set xor = num ? x
set low = 0
for z in range l - 1 r - 1
begin
set num1 = int... | for x in range(0, q):
queries = raw_input()
queries = queries.split()
l = int(queries[0])
r = int(queries[1])
x = int(queries[2])
for y in range(l-1, r-1):
num = int(array[y])
k = num
xor = num ^ x
low = 0
for z in range(l-1, r-1):
num1 = int(a... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python3
string Defines unittests for models/engine/file_storage.py. Unittest classes: TestFileStorage_instantiation TestFileStorage_methods
import os
import json
import models
import unittest
from datetime import datetime
from models.base_model import BaseModel
from models.engine.file_storage import F... | #!/usr/bin/python3
"""Defines unittests for models/engine/file_storage.py.
Unittest classes:
TestFileStorage_instantiation
TestFileStorage_methods
"""
import os
import json
import models
import unittest
from datetime import datetime
from models.base_model import BaseModel
from models.engine.file_storage import... | Python | zaydzuhri_stack_edu_python |
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