code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
class Solution
begin
function maximumProduct self nums
begin
set n = length nums
if n == 3
begin
return nums at 0 * nums at 1 * nums at 2
end
sort nums
if nums at 0 >= 0
begin
return nums at - 1 * nums at - 2 * nums at - 3
end
if nums at - 1 <= 0
begin
return nums at - 1 * nums at - 2 * nums at - 3
end
if nums at 1 <= ... | class Solution:
def maximumProduct(self, nums: List[int]) -> int:
n = len(nums)
if n == 3:
return nums[0] * nums[1] * nums[2]
nums.sort()
if nums[0] >= 0:
return nums[-1] * nums[-2] * nums[-3]
if nums[-1] <=... | Python | zaydzuhri_stack_edu_python |
function __repeat_timer interval function iterations args kwargs
begin
set count = 0
while iterations <= 0 or count < iterations
begin
sleep interval
call function *args keyword kwargs
set count = count + 1
end
end function | def __repeat_timer(interval, function, iterations, args, kwargs):
count = 0
while iterations <= 0 or count < iterations:
sleep(interval)
function(*args, **kwargs)
count += 1 | Python | nomic_cornstack_python_v1 |
function test_start_of_line self
begin
set before_b = string first line line 1 line a line b line c last line
set after_b = string first line line 1 line a line b line c last line
call run_test before_b=before_b after_b=after_b before_sel=tuple string 3.10 string 3.10 after_sel=tuple string 3.4 string 3.4 command_name=... | def test_start_of_line(self):
before_b = """\
first line
line 1
line a
line b
line c
last line
"""
after_b = """\
first line
line 1
line a
line b
line c
last line
"""
self.run_test(
before_b=before_b,
... | Python | nomic_cornstack_python_v1 |
class Solution extends object
begin
function generateParenthesis self n
begin
string :type n: int :rtype: List[str]
set result = list
call helper n n string result
return result
end function
function helper self left right tmp result
begin
if left == 0 and right == 0
begin
if tmp
begin
set result = result + tuple tmp... | class Solution(object):
def generateParenthesis(self, n):
"""
:type n: int
:rtype: List[str]
"""
result = []
self.helper(n, n, '', result)
return result
def helper(self, left, right, tmp, result):
if left == 0 and right == 0:
if tmp:
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
import rospy , tf2_ros
from geometry_msgs.msg import TransformStamped , Pose
class Dummy
begin
function __init__ self
begin
call init_node string ZYang2_3002_dummy
set rate = call Rate 100
set tf_buffer = call Buffer
set tf_broadcaster = call TransformBroadcaster
set tf_listener = call Tran... | #!/usr/bin/env python
import rospy, tf2_ros
from geometry_msgs.msg import TransformStamped, Pose
class Dummy:
def __init__(self):
rospy.init_node('ZYang2_3002_dummy')
self.rate = rospy.Rate(100)
self.tf_buffer = tf2_ros.Buffer()
self.tf_broadcaster = tf2_ros.TransformBroadcaste... | Python | zaydzuhri_stack_edu_python |
function cross self vec
begin
if not is instance vec Vector3Array
begin
raise call TypeError string Cross product operand must be a Vector3Array
end
if nV != 1 and nV != 1 and nV != nV
begin
raise call ValueError string Cross product operands must have the same number of elements.
end
return call Vector3Array call cros... | def cross(self, vec):
if not isinstance(vec, Vector3Array):
raise TypeError('Cross product operand must be a Vector3Array')
if self.nV != 1 and vec.nV != 1 and self.nV != vec.nV:
raise ValueError('Cross product operands must have the same '
'number of... | Python | nomic_cornstack_python_v1 |
function get self task_id
begin
string Gets a specific task, by ``task_id`` off the queue & runs it. Using this is not as performant (because it has to search the queue), but can be useful if you need to specifically handle a task *right now*. Ex:: # Tasks were previously added, maybe by a different process or # machin... | def get(self, task_id):
"""
Gets a specific task, by ``task_id`` off the queue & runs it.
Using this is not as performant (because it has to search the queue),
but can be useful if you need to specifically handle a task *right now*.
Ex::
# Tasks were previously add... | Python | jtatman_500k |
comment coding=utf-8
from Sample import *
class LearningSet
begin
function __init__ self
begin
set samples = list
end function
function setValues self samples
begin
set out = dictionary
for sample in samples
begin
if call getClass in out
begin
append out at call getClass sample
end
else
begin
set out at call getClass =... | # coding=utf-8
from Sample import *
class LearningSet:
def __init__ (self):
self.samples = list()
def setValues(self, samples):
out = dict()
for sample in samples:
if sample.getClass() in out:
out[sample.getClass()].append(sample)
else:
... | Python | zaydzuhri_stack_edu_python |
function onKeyDown event
begin
if keysym == string Escape
begin
call destroy
end
comment Missile controls (single-command version)
if controlMode == BASIC
begin
if keysym == string Up
begin
call up
end
if keysym == string Down
begin
call down
end
if keysym == string Left
begin
call left
end
if keysym == string Right
be... | def onKeyDown(event):
if event.keysym == 'Escape':
root.destroy()
#Missile controls (single-command version)
if missile.controlMode == ControlMode.BASIC:
if event.keysym == 'Up':
missile.up()
if event.keysym == 'Down':
missile.down()
if event.keysym =... | Python | nomic_cornstack_python_v1 |
import pickle
from flask import Flask , request , render_template
from sklearn.feature_extraction.text import CountVectorizer
from nltk.corpus import stopwords
import string
function text_process mess
begin
set nopunc = list comprehension char for char in mess if char not in punctuation
set nopunc = join string nopunc... | import pickle
from flask import Flask,request,render_template
from sklearn.feature_extraction.text import CountVectorizer
from nltk.corpus import stopwords
import string
def text_process(mess):
nopunc=[char for char in mess if char not in string.punctuation]
nopunc="".join(nopunc)
return [word for word in... | Python | zaydzuhri_stack_edu_python |
function rotationalCipher input rotation_factor
begin
comment Write your code here
set res = string
set lower = ordinal string a
set upper = ordinal string A
for i in input
begin
if is alphanumeric str i
begin
if call isnumeric i
begin
set res = res + string integer i + rotation_factor % 10
end
else
if is upper str i
... | def rotationalCipher(input, rotation_factor):
# Write your code here
res = ''
lower = ord('a')
upper = ord('A')
for i in input:
if str.isalnum(i):
if str.isnumeric(i):
res = res + str((int(i) + rotation_factor) % 10)
elif str.isupper(i):
... | Python | zaydzuhri_stack_edu_python |
function get_prod_penalty nnet
begin
assert ocsvm_loss is true
set penalty = 0
set layers = trainable_layers
comment do not regularize parameters of oc-svm layer
set num_layers = length layers - 1
assert num_layers > 0
set W_norm_prod = 1.0
if b is not none
begin
set penalty = penalty + sum b ^ 2
end
for i in range num... | def get_prod_penalty(nnet):
assert Cfg.ocsvm_loss is True
penalty = 0
layers = nnet.trainable_layers
num_layers = len(layers) - 1 # do not regularize parameters of oc-svm layer
assert num_layers > 0
W_norm_prod = 1.0
if layers[num_layers-1].b is not None:
penalty += T.sum(layers... | Python | nomic_cornstack_python_v1 |
function stop self timeout=20
begin
if not call running
begin
error string Server on port { port } has already stopped.
return
end
info string Telling the server on port { port } to shut down.
try
begin
communicate process input=string close timeout=timeout
info string Server on port { port } has stopped.
end
except Ti... | def stop(self, timeout=20):
if not self.running():
log.error(f'Server on port {self.port} has already stopped.')
return
log.info(f'Telling the server on port {self.port} to shut down.')
try:
self.process.communicate(input='close', timeout=timeout)
... | Python | nomic_cornstack_python_v1 |
function check_actors self actors
begin
string Performs checks on the actors that are to be used. Raises an exception if invalid setup. :param actors: the actors to check :type actors: list
call check_actors actors
set actor = first_active
if actor is not none and not is instance actor InputConsumer
begin
raise excepti... | def check_actors(self, actors):
"""
Performs checks on the actors that are to be used. Raises an exception if invalid setup.
:param actors: the actors to check
:type actors: list
"""
super(Sequence, self).check_actors(actors)
actor = self.first_active
if ... | Python | jtatman_500k |
string This file implements the REINFORCE algorithm on the CartPole environment. This starter code was obtained from https://towardsdatascience.com/learning-reinforcement-learning-reinforce-with-pytorch-5e8ad7fc7da0 We modified it significantly to enable parallel training of actors.
import numpy as np
import matplotlib... | """
This file implements the REINFORCE algorithm on the CartPole environment.
This starter code was obtained from https://towardsdatascience.com/learning-reinforcement-learning-reinforce-with-pytorch-5e8ad7fc7da0
We modified it significantly to enable parallel training of actors.
"""
import numpy as np
import matplotl... | Python | zaydzuhri_stack_edu_python |
class Account extends object
begin
set ID_COUNT = 1
function __init__ self name **kwargs
begin
set id = ID_COUNT
set name = name
update __dict__ kwargs
if has attribute self string value
begin
set value = 0
end
set ID_COUNT = ID_COUNT + 1
end function
function transfer self amount
begin
set value = value + amount
end f... | class Account(object):
ID_COUNT = 1
def __init__(self, name, **kwargs):
self.id = self.ID_COUNT
self.name = name
self.__dict__.update(kwargs)
if hasattr(self, 'value'):
self.value = 0
Account.ID_COUNT += 1
def transfer(self, amount):
self.value += ... | Python | zaydzuhri_stack_edu_python |
from kafka import KafkaConsumer
from bs4 import BeautifulSoup
import json
import re
class Product
begin
function __init__ self title price host
begin
set title = call clean title
set price = price
set site = host
end function
end class
function receive
begin
set consumer = call KafkaConsumer bootstrap_servers=string lo... | from kafka import KafkaConsumer
from bs4 import BeautifulSoup
import json
import re
class Product:
def __init__(self, title, price, host):
self.title = clean(title)
self.price = price
self.site = host
def receive():
consumer = KafkaConsumer(bootstrap_servers='localhost:9092',
a... | Python | zaydzuhri_stack_edu_python |
function get_string self
begin
string make a string representation of the general error report
set ostr = string
set errtotal = deletions at string total + insertions at string total + mismatches
set ostr = ostr + string from + string alignment_length + string bp of alignment + string
set ostr = ostr + string + stri... | def get_string(self):
"""make a string representation of the general error report"""
ostr = ''
errtotal = self.deletions['total']+self.insertions['total']+self.mismatches
ostr += 'from '+str(self.alignment_length)+' bp of alignment'+"\n"
ostr += ' '+str(float(errtotal)/float(self.alignment_length))... | Python | jtatman_500k |
function userLanguage self
begin
return call UserLanguages
end function | def userLanguage(self):
return UserLanguages() | Python | nomic_cornstack_python_v1 |
function gcd a b
begin
if b == 0
begin
return a
end
return call gcd b a % b
end function
set a = 10
set b = 25
print string GCD of a string and b string = call gcd a b | def gcd(a, b):
if b == 0:
return a
return gcd(b, a % b)
a = 10
b = 25
print ("GCD of", a, "and", b, "=", gcd(a, b)) | Python | iamtarun_python_18k_alpaca |
function get_environ_value key
begin
assert key in environ msg string { key } should be set in the environ
return environ at key
end function | def get_environ_value(key: str) -> str:
assert key in os.environ, f"{key} should be set in the environ"
return os.environ[key] | Python | nomic_cornstack_python_v1 |
function vm_end vm_state *args op_bytecode=none **kwargs
begin
set tuple op_code _ _ _ _ = op_bytecode
assert VM_OPERATION_TO_BYTECODE at op_code == string END
set last_code_addr = vm_code_pointer
set end_pointer = length call read1
set vm_code_pointer = last_code_addr + end_pointer
return vm_state
end function | def vm_end(vm_state: VmState, *args, op_bytecode=None, **kwargs) -> VmState:
op_code, _, _, _, _ = op_bytecode
assert VM_OPERATION_TO_BYTECODE[op_code] == "END"
last_code_addr = vm_state.vm_code_pointer
end_pointer = len(vm_state.vm_code_buffer.read1())
vm_state.vm_code_pointer = last_code_addr ... | Python | nomic_cornstack_python_v1 |
function get_NetworkEnum
begin
set networks = call Networks
return call NetworkEnum string Network list ids
end function | def get_NetworkEnum() -> NetworkEnum:
networks = Networks()
return NetworkEnum('Network', list(networks.ids)) | Python | nomic_cornstack_python_v1 |
class Student
begin
string docstring for Student.
function __init__ self *info
begin
set firstname = info at 1
set lastname = info at 2
set __cpf = info at 0
end function
function get_cpf self
begin
return __cpf
end function
end class
class Disciplina
begin
string docstring for Disciplina.
function __init__ self nome *... | class Student():
"""docstring for Student."""
def __init__(self, *info):
self.firstname = info[1]
self.lastname = info[2]
self.__cpf = info[0]
def get_cpf(self):
return self.__cpf
class Disciplina():
"""docstring for Disciplina."""
def __init__(self, nome, *listaOb... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Wed Dec 9 08:40:45 2020 @author: Kyle Schmidt
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import MultinomialNB
from sk... | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 9 08:40:45 2020
@author: Kyle Schmidt
"""
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import MultinomialNB
from skle... | Python | zaydzuhri_stack_edu_python |
import os
import pandas as pd
comment CSV File Generator
function csv_generator path
begin
for tuple root dirnames filenames in walk path
begin
for file_name in filenames
begin
set filepath = join path root file_name
set file = read csv filepath
yield file
end
end
end function
comment Append dataframes
function df_from... | import os
import pandas as pd
# CSV File Generator
def csv_generator(path):
for root, dirnames, filenames in os.walk(path):
for file_name in filenames:
filepath = os.path.join(root, file_name)
file = pd.read_csv(filepath)
yield file
# Append dataframes
def df_from_di... | Python | zaydzuhri_stack_edu_python |
function obj_func_general_parametrisation p data parametrisation A reg_func loss penalty params
begin
set x = data at string x
set y = data at string y
set tuple n1 n2 = shape at slice 1 : 3 :
set p = tensor p device=device
set requires_grad = true
if not grad is none
begin
call zero_
end
set tuple S alpha eps = call ... | def obj_func_general_parametrisation(p, data, parametrisation, A, reg_func,
loss, penalty, params):
x = data['x']
y = data['y']
n1, n2 = x.shape[1:3]
p = torch.tensor(p, device=x.device)
p.requires_grad = True
if not p.grad is None:
p.grad.zero_()... | Python | nomic_cornstack_python_v1 |
function get_matrixS n
begin
set mat_nxn = zeros list n n dtype=int
for row_num in range 1 n + 1
begin
set i = row_num - 1
if row_num == 1
begin
set mat_nxn at i at i + 1 = 1
set mat_nxn at i at i + 2 = 1
end
else
if row_num == 2
begin
set mat_nxn at i at i - 1 = 1
set mat_nxn at i at i + 2 = 1
end
else
if row_num == n... | def get_matrixS(n):
mat_nxn = np.zeros([n, n], dtype=int)
for row_num in range(1, n + 1):
i = row_num - 1
if row_num == 1:
mat_nxn[i][i + 1] = 1
mat_nxn[i][i + 2] = 1
elif row_num == 2:
mat_nxn[i][i - 1] = 1
mat_nxn[i][i + 2] = 1
e... | Python | nomic_cornstack_python_v1 |
comment Code reference from [1] http://scikit-image.org/docs/dev/auto_examples/xx_applications/plot_thresholding.html
comment Otsu's thresholding method:
comment Otsu’s method calculates an “optimal” threshold (red line in the histogram) by maximizing the
comment variance between two classes of pixels, which are separa... | # Code reference from [1] http://scikit-image.org/docs/dev/auto_examples/xx_applications/plot_thresholding.html
##Otsu's thresholding method:
#Otsu’s method calculates an “optimal” threshold (red line in the histogram) by maximizing the
# variance between two classes of pixels, which are separated by the threshold.
... | Python | zaydzuhri_stack_edu_python |
from functools import partial
function P x
begin
return 10 <= x <= 29
end function
function Q x
begin
return 13 <= x <= 18
end function
function checker A
begin
set diapasone = range 8 32
return all generator expression not call A x or call P x or call Q x for x in diapasone
end function
function A x left right
begin
r... | from functools import partial
def P(x):
return 10 <= x <= 29
def Q(x):
return 13 <= x <= 18
def checker(A: "some function from x"):
diapasone = range(8, 32)
return all(not A(x) or P(x) or Q(x) for x in diapasone)
def A(x, left, right):
return left <= x <= right
max_len = 0
for l... | Python | zaydzuhri_stack_edu_python |
function match_td_smiles QCA smitree indices
begin
set match_entries = list
for node in call node_iter_depth_first call root select=string Entry
begin
if payload not in db
begin
continue
end
comment these are the indices of everything that matched in the smiles operation
set group_smi_list = db at payload at string dat... | def match_td_smiles(QCA, smitree, indices):
match_entries = list()
for node in QCA.node_iter_depth_first(QCA.root(), select="Entry"):
if node.payload not in smitree.db:
continue
# these are the indices of everything that matched in the smiles operation
group_smi_list = smi... | Python | nomic_cornstack_python_v1 |
comment file: tf3_4.py
comment author: meikerwang
comment forward and backward train
import tensorflow as tf
import numpy as np
set BATCH_SIZE = 8
set SEED = 23455
comment 基于SEED产生随机数
set rdm = call RandomState seed=SEED
comment 随机生成32个2维的0-1均匀分布的数据 作为输入数据集
set X = call rand 32 2
comment 制作label数据集, label为 x0+x1 <1 为1否... | # file: tf3_4.py
# author: meikerwang
# forward and backward train
import tensorflow as tf
import numpy as np
BATCH_SIZE = 8
SEED = 23455
# 基于SEED产生随机数
rdm = np.random.RandomState(seed=SEED)
# 随机生成32个2维的0-1均匀分布的数据 作为输入数据集
X = rdm.rand(32, 2)
# 制作label数据集, label为 x0+x1 <1 为1否则为0
Y_ = [[int(x0 + x1 < 1)] for (x0, x1) ... | Python | zaydzuhri_stack_edu_python |
function removeModuleRule self phase module method rule_data
begin
set unlock_cluster = false
set response = string Rule has been deleted successfully
set retVal = 0
try
begin
call lock_cluster_for_update
set unlock_cluster = true
set version_file_path_s3 = call get_version_path cluster_id
set version_data_dict = call ... | def removeModuleRule(self, phase, module, method, rule_data):
unlock_cluster = False
response = "Rule has been deleted successfully"
retVal = 0
try:
self.lock_cluster_for_update()
unlock_cluster = True
version_file_path_s3 = utils.get_version_path(self.cluster_id)
version_data_d... | Python | nomic_cornstack_python_v1 |
function compute_weights self time_scale=300
begin
comment Assert that times are offset seconds
call time_stamps_to_offset_seconds
comment Compute weights from time differences
set weights = zeros tuple n_science n_sky
for ii in range n_science
begin
set delta_t = science_time_stamps at ii - sky_time_stamps
set weights... | def compute_weights(self, time_scale=300):
# Assert that times are offset seconds
self.time_stamps_to_offset_seconds()
# Compute weights from time differences
weights = np.zeros((self.n_science, self.n_sky))
for ii in range(self.n_science):
delta_t = self.science_ti... | Python | nomic_cornstack_python_v1 |
function compute_accel data window
begin
comment deal with incomplete data
if length data at TIME_COL < window * 2
begin
error string Error! Not enough data points to compute acceleration. + string Try running with a smaller window setting or a smaller threshold.
return none
end
comment Compute left/right acceleration
... | def compute_accel(data, window):
# deal with incomplete data
if len(data[TIME_COL]) < window * 2:
logger.error(
"Error! Not enough data points to compute acceleration. "
+ "Try running with a smaller window setting or a smaller threshold.",
)
... | Python | nomic_cornstack_python_v1 |
import selenium
from selenium import webdriver
import time
import os
comment chromedriver = "C:\
comment os.environ["PATH"] = chromedriver
comment Take input from user or command line
comment create browser instance for firefox
set browser = call Firefox
comment open webpage
get browser string https://www.facebook.com/... | import selenium
from selenium import webdriver
import time
import os
#chromedriver = "C:\
#os.environ["PATH"] = chromedriver
#Take input from user or command line
#create browser instance for firefox
browser = webdriver.Firefox()
browser.get("https://www.facebook.com/") #open webpage
#email_element = browser.find_... | Python | zaydzuhri_stack_edu_python |
comment Project name : SPOJ: BAISED - Biased Standings
comment Author : Wojciech Raszka
comment Date created : 2019-03-17
comment Description :
comment Status : Accepted (23432596)
comment Comment : O(n)
set T = integer call raw_input
while T > 0
begin
call raw_input
set N = integer call raw_input
set prefered_position... | # Project name : SPOJ: BAISED - Biased Standings
# Author : Wojciech Raszka
# Date created : 2019-03-17
# Description :
# Status : Accepted (23432596)
# Comment : O(n)
T = int(raw_input())
while (T > 0):
raw_input()
N = int(raw_input())
prefered_position = [0]*(N + 1)
for i in range(N):
... | Python | zaydzuhri_stack_edu_python |
comment Modules
import numpy as np
comment Create a matrix using numpy
set mat13 = array list 0 0 0 | # Modules
import numpy as np
# Create a matrix using numpy
mat13 = np.array([0, 0, 0])
| Python | zaydzuhri_stack_edu_python |
string Input: Coordinates as a string.. Output: The equation of the circle as a string. Precondition: All three given points do not lie on one line. 0 < xi, yi, r < 10
from collections import namedtuple
from math import sqrt
from ast import literal_eval
set Point = named tuple string Point string x y
function precision... | """
Input: Coordinates as a string..
Output: The equation of the circle as a string.
Precondition: All three given points do not lie on one line.
0 < xi, yi, r < 10
"""
from collections import namedtuple
from math import sqrt
from ast import literal_eval
Point = namedtuple('Point', 'x y')
def precision(value):
... | Python | zaydzuhri_stack_edu_python |
function generate_file_name num
begin
set file_name = string C:/Users/yargr/Desktop/screenshot
comment First call
if num == 0
begin
set file_name = file_name + string .jpg
end
else
begin
set file_name = file_name + string num + string .jpg
end
comment Look for a file by that name
try
begin
load image file_name
end
comm... | def generate_file_name(num):
file_name = 'C:/Users/yargr/Desktop/screenshot'
if num == 0: # First call
file_name += '.jpg'
else:
file_name += str(num) + '.jpg'
try: # Look for a file by that name
pygame.image.load(file_name)
except: # File doesn't exist - name is va... | Python | nomic_cornstack_python_v1 |
function downscale_ls_seed_points_list_driver input_ls_seed_points_list_filename output_ls_seed_points_list_filename factor nlat_fine nlon_fine input_grid_type output_grid_type
begin
set input_points_list = list
set comment_line_pattern = compile string ^ *#.*$
with open input_ls_seed_points_list_filename as f
begin
i... | def downscale_ls_seed_points_list_driver(input_ls_seed_points_list_filename,
output_ls_seed_points_list_filename,
factor, nlat_fine, nlon_fine,
input_grid_type,
... | Python | nomic_cornstack_python_v1 |
function records
begin
set records = call load_file string records
set tuple times people = tuple records at string records records at string people
set refresh = false
if string wca_token in session and string ion_token in session
begin
set me = call api_call string wca string me at string me
set year = call api_call ... | def records() -> dict:
records = cube.load_file("records")
times, people = records["records"], records["people"]
refresh = False
if "wca_token" in flask.session and "ion_token" in flask.session:
me = cube.api_call("wca", "me")["me"]
year = cube.api_call("ion", "profile")["graduation_year... | Python | nomic_cornstack_python_v1 |
function add_previous_and_next_labels docs
begin
set docs at 0 at string previous_label_published_date = none
set docs at 0 at string previous_label_spl_id = none
set docs at 0 at string previous_label_spl_version = none
set docs at 0 at string next_label_published_date = none
set docs at 0 at string next_label_spl_id ... | def add_previous_and_next_labels(docs):
docs[0]["previous_label_published_date"] = None
docs[0]["previous_label_spl_id"] = None
docs[0]["previous_label_spl_version"] = None
docs[0]["next_label_published_date"] = None
docs[0]["next_label_spl_id"] = None
docs[0]["next_label_spl_version"] = None
... | Python | nomic_cornstack_python_v1 |
function exitOnClick self
begin
call getMouse
call _close
end function | def exitOnClick(self):
self.getMouse()
self._close() | Python | nomic_cornstack_python_v1 |
function createNewRule oldict key tempdict
begin
set newkey = key + string `
set newlist = list
for item in oldict at key
begin
if starts with item key
begin
set str = replace item key string + string + newkey
append newlist strip str
end
end
append newlist string @
set tempdict at newkey = newlist
end function
funct... | def createNewRule(oldict, key, tempdict):
newkey = key + '`'
newlist = []
for item in oldict[key]:
if item.startswith(key):
str = item.replace(key, '')+' '+newkey
newlist.append(str.strip())
newlist.append('@')
tempdict[newkey] = newlist
def editOldRule(aDict, key):
... | Python | zaydzuhri_stack_edu_python |
function bound3d decs dcs
begin
comment small delta to avoid issues with souces exactly at edges
set delta = 0.001
if type decs != list
begin
set decs = list decs
set dcs = list dcs
end
set ramin = 0.0
set ramax = 360.0
set decmin = max min list comprehension min d for d in decs - delta - 90.0
set decmax = min max list... | def bound3d(decs, dcs):
delta = 0.001 # small delta to avoid issues with souces exactly at edges
if (type(decs)!=list):
decs = [decs]
dcs = [dcs]
ramin = 0.
ramax = 360.
decmin = max(min([min(d) for d in decs]) - delta, -90.)
decmax = min(max([max(d) for d in decs]) + delta,... | Python | nomic_cornstack_python_v1 |
from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
import threading
class AsyncTask
begin
function __init__ self
begin
pass
end function
function TaskA self
begin
print string Process A
start call Timer 1 TaskA
end function
function TaskB self
begin
print string Process B
start call Timer 3 Task... | from OpenGL.GL import *
from OpenGL.GLUT import *
from OpenGL.GLU import *
import threading
class AsyncTask:
def __init__(self):
pass
def TaskA(self):
print ('Process A')
threading.Timer(1,self.TaskA).start()
def TaskB(self):
print ('Process B')
threading.Timer(3,... | Python | zaydzuhri_stack_edu_python |
function test_get_rov_sol_too_big dbtransaction global_environ photo_params rover_params camera_params
begin
set rover = rover_params at string name
set sol = photo_params at string sol
set photo = call Photo keyword photo_params
add DBSession call Rover keyword rover_params
add DBSession call Camera keyword camera_par... | def test_get_rov_sol_too_big(dbtransaction, global_environ, photo_params,
rover_params, camera_params):
rover = rover_params['name']
sol = photo_params['sol']
photo = Photo(**photo_params)
DBSession.add(Rover(**rover_params))
DBSession.add(Camera(**camera_params))
DB... | Python | nomic_cornstack_python_v1 |
function lcm *integers
begin
if not integers
begin
raise call ValueError string integers must not be empty
end
if not call is_integer *integers
begin
raise call TypeError string invalid integer types found: { integers }
end
function _lcd a b
begin
if a == 0 and b == 0
begin
raise call RuntimeError string lcm(0, 0) is u... | def lcm(*integers: int) -> int:
if not integers:
raise ValueError('integers must not be empty')
if not is_integer(*integers):
raise TypeError(f'invalid integer types found: {integers!r}')
def _lcd(a: int, b: int) -> int:
if a == 0 and b == 0:
raise RuntimeError('lcm(0, ... | Python | nomic_cornstack_python_v1 |
function reset_current_time_slice self
begin
set __time_left_for_time_slice = __time_quantum
end function | def reset_current_time_slice(self):
self.__time_left_for_time_slice = self.__time_quantum | Python | nomic_cornstack_python_v1 |
function check_type self type
begin
set tdict = dictionary zip TYPES TYPES
set tdict at string line = string lc
set tdict at string bar = string bvs
set tdict at string pie = string p
set tdict at string venn = string v
set tdict at string scater = string s
assert type in tdict msg string Invalid chart type: %s % type
... | def check_type(self, type):
tdict = dict(zip(TYPES,TYPES))
tdict['line'] = 'lc'
tdict['bar'] = 'bvs'
tdict['pie'] = 'p'
tdict['venn'] = 'v'
tdict['scater'] = 's'
assert(type in tdict), 'Invalid chart type: %s'%type
return tdict[type] | Python | nomic_cornstack_python_v1 |
async function store search_engine source process_param=none store_host=false store_emails=false store_ip=false store_people=false store_links=false store_results=false store_interestingurls=false store_asns=false
begin
if expression process_param is none then await process use_proxy else await process process_param us... | async def store(search_engine: Any, source: str, process_param: Any = None, store_host: bool = False,
store_emails: bool = False, store_ip: bool = False, store_people: bool = False,
store_links: bool = False, store_results: bool = False,
store_interestingurls:... | Python | nomic_cornstack_python_v1 |
function leucocitos info
begin
comment Se accede la información de las cedulas por medio del metodo .keys
set cedulas = keys info
set resultado = dict
comment Se crea el for inicial que tome todas las cedulas
for i in cedulas
begin
set dias = keys info at i at string infoHemograma
set leuco = values info at i at strin... | def leucocitos(info:dict)-> tuple:
# Se accede la información de las cedulas por medio del metodo .keys
cedulas = info.keys()
resultado = {}
#Se crea el for inicial que tome todas las cedulas
for i in cedulas:
dias = info[i]["infoHemograma"].keys()
leuco = info[i]["infoHemograma... | Python | zaydzuhri_stack_edu_python |
function get_dist self
begin
string Return a pkg_resources.Distribution built from self.egg_info_path
set egg_info = right strip call egg_info_path string string /
set base_dir = directory name path egg_info
set metadata = call PathMetadata base_dir egg_info
set dist_name = call splitext base name path egg_info at 0
re... | def get_dist(self):
"""Return a pkg_resources.Distribution built from self.egg_info_path"""
egg_info = self.egg_info_path('').rstrip('/')
base_dir = os.path.dirname(egg_info)
metadata = pkg_resources.PathMetadata(base_dir, egg_info)
dist_name = os.path.splitext(os.path.basename(e... | Python | jtatman_500k |
from flask import Flask , request , render_template , redirect , session
import random
set app = call Flask __name__ static_url_path=string /static
set secret_key = string root
decorator call route string /
function game
begin
if string rand not in keys session
begin
set session at string rand = random integer 1 10
end... | from flask import Flask, request, render_template, redirect, session
import random
app = Flask(__name__, static_url_path='/static')
app.secret_key = 'root'
@app.route('/')
def game():
if 'rand' not in session.keys():
session['rand'] = random.randint(1,10)
return render_template('index.html')
... | Python | zaydzuhri_stack_edu_python |
from itertools import combinations
set arr = list comprehension integer input for _ in range 9
for liter in call combinations arr 7
begin
set value = sum liter
if value == 100
begin
print join string map str sorted liter
break
end
end | from itertools import combinations
arr = [int(input()) for _ in range(9)]
for liter in combinations(arr, 7):
value = sum(liter)
if value == 100:
print('\n'.join(map(str, sorted(liter))))
break | Python | zaydzuhri_stack_edu_python |
if a >= 18
begin
print string can vote
end
else
begin
print string cannot vote
end | if a>=18:
print('can vote')
else:
print('cannot vote')
| Python | zaydzuhri_stack_edu_python |
class myClass
begin
set x = 5
end class
set myVar = call myClass
print x
class Time
begin
string Represents a time of day attributes: hour, minute, second
function printTime self
begin
print format string {:2d}:{:2d}:{:2d} hour minute second
end function
comment or we can use the __str__() function
function __str__ sel... | class myClass:
x = 5
myVar = myClass()
print(myVar.x)
class Time:
""" Represents a time of day
attributes: hour, minute, second """
def printTime(self):
print("{:2d}:{:2d}:{:2d}".format(self.hour, self.minute, self.second))
#or we can use the __str__() function
def __str__(self):
... | Python | zaydzuhri_stack_edu_python |
function get_vertex_keys self
begin
return keys vertList
end function | def get_vertex_keys( self ):
return self.vertList.keys() | Python | nomic_cornstack_python_v1 |
from math import factorial
set args = integer input
function tail n
begin
set count = 0
comment Keep dividing n by
comment powers of 5 and
comment update Count
set i = 5
while n / i >= 1
begin
set count = count + integer n / i
set i = i * 5
end
return integer count
end function
for i in range args
begin
set num = integ... | from math import factorial
args = int(input())
def tail(n):
count = 0
# Keep dividing n by
# powers of 5 and
# update Count
i=5
while (n/i>=1):
count += int(n/i)
i *= 5
return int(count)
for i in range(args):
num = int(input())
fact = tail(num)
prin... | Python | zaydzuhri_stack_edu_python |
function read_input
begin
set test_input = string 1,0,0,0,99
set test_input = string 2,3,0,3,99
set test_out = string 2,0,0,0,99
set test_input = string 2,4,4,5,99,0
for i in range 100
begin
for j in range 100
begin
set instruction_start = 0
set opcode = 0
set loc_1 = 0
set loc_2 = 0
set result_loc = 0
set current_loc ... | def read_input():
test_input = "1,0,0,0,99"
test_input = "2,3,0,3,99"
test_out = "2,0,0,0,99"
test_input = "2,4,4,5,99,0"
for i in range(100):
for j in range(100):
instruction_start = 0
opcode = 0
loc_1 = 0
loc_2 = 0
result_lo... | Python | zaydzuhri_stack_edu_python |
function visit_dimension self node visited_children
begin
set entries = split text string
set value = call __parse_decimal entries at slice 0 : - 1 :
set key = KEY_MAP at entries at - 1
if get attribute dictionary key is none
begin
set attribute dictionary key call Entry
end
set value = decimal value
set value_text = t... | def visit_dimension(self, node, visited_children):
entries = node.text.split(" ")
value = self.__parse_decimal(entries[0:-1])
key = WdcParsimoniousNodeVisitor.KEY_MAP[entries[-1]]
if getattr(self.dictionary, key) is None:
setattr(self.dictionary, key, self.dictionary.Entry()... | Python | nomic_cornstack_python_v1 |
if name
begin
print string Hey + name
end | if name:
print('Hey ' + name)
| Python | zaydzuhri_stack_edu_python |
function get_minimum_diff_for_against_team self
begin
set for_goals = integer __data at string F at 0
set against_goals = integer __data at string A at 0
set min_difference = absolute for_goals - against_goals
set min_difference_team = __data at string Team at 0
for tuple _ row in call iterrows
begin
set for_goals = in... | def get_minimum_diff_for_against_team(self):
for_goals = int(self.__data["F"][0])
against_goals = int(self.__data["A"][0])
min_difference = abs(for_goals - against_goals)
min_difference_team = self.__data["Team"][0]
for _, row in self.__data.iterrows():
for_goals = in... | Python | nomic_cornstack_python_v1 |
function publish_scene_config self scene_id config
begin
string publish a changed scene configuration
set sequence_number = sequence_number + 1
call send_multipart call scene_config sequence_number scene_id config
return sequence_number
end function | def publish_scene_config(self, scene_id, config):
"""publish a changed scene configuration"""
self.sequence_number += 1
self.publisher.send_multipart(msgs.MessageBuilder.scene_config(self.sequence_number, scene_id, config))
return self.sequence_number | Python | jtatman_500k |
comment encoding: utf-8
from six.moves import xrange
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.contrib.data import Dataset
from tensorflow.examples.tutorials.mnist import input_data
call set_random_seed 1
seed 1
set BATCH_SIZE = 50
set LR = 0.001
comment data
comment the... | # encoding: utf-8
from six.moves import xrange
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.contrib.data import Dataset
from tensorflow.examples.tutorials.mnist import input_data
tf.set_random_seed(1)
np.random.seed(1)
BATCH_SIZE = 50
LR = 0.001
# data
mnist = input_da... | Python | zaydzuhri_stack_edu_python |
function reset self
begin
call _write 22 1 3 8
end function | def reset(self):
self._write(0x16, 1, 3, 0x08) | Python | nomic_cornstack_python_v1 |
function _keys_to_lower filters
begin
set convert_dict = default dictionary list
for tuple k v in call lists
begin
set convert_dict at lower k = convert_dict at lower k + v
end
set newfilt = call MultiDict convert_dict
return newfilt
end function | def _keys_to_lower(filters):
convert_dict = defaultdict(list)
for k, v in filters.lists():
convert_dict[k.lower()] += v
newfilt = werkzeug.datastructures.MultiDict(convert_dict)
return newfilt | Python | nomic_cornstack_python_v1 |
function remove cls config
begin
set node = call get_node_by_id cluster config at string node
set id_ = config at string id
call shell args=list string ceph string auth string del id_
if get config string remove_admin_keyring
begin
call exec_command cmd=string rm -rf /etc/ceph/ceph.client.admin.keyring sudo=true
end
ca... | def remove(cls, config: Dict) -> None:
node = get_node_by_id(cls.cluster, config["node"])
id_ = config["id"]
cls.shell(
args=["ceph", "auth", "del", id_],
)
if config.get("remove_admin_keyring"):
node.exec_command(
cmd="rm -rf /etc/ceph/ceph.client.admin.keyring",
... | Python | nomic_cornstack_python_v1 |
function scramble string
begin
return join string list comprehension join string random sample word length word for word in split string
end function | def scramble(string):
return ' '.join([''.join(random.sample(word, len(word))) for word in string.split()]) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Tue Sep 3 13:34:44 2019 @author: project
import struct
function recv_one_message sock
begin
set lengthbuf = call recvall sock 4
try
begin
set length = call unpack string !I lengthbuf
end
except Exception
begin
return none
end
return call recvall sock length at 0
end funct... | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 3 13:34:44 2019
@author: project
"""
import struct
def recv_one_message(sock):
lengthbuf = recvall(sock, 4)
try:
length = struct.unpack('!I', lengthbuf)
except Exception:
return None
return recvall(sock, length[0])
def recvall(s... | Python | zaydzuhri_stack_edu_python |
function key_encryption_key self
begin
return get pulumi self string key_encryption_key
end function | def key_encryption_key(self) -> Optional[pulumi.Input['KeyEncryptionKeyArgs']]:
return pulumi.get(self, "key_encryption_key") | Python | nomic_cornstack_python_v1 |
function get_provider self provider_prefix spec
begin
set providers = settings at string repo_providers
if provider_prefix not in providers
begin
raise call HTTPError 404 string No provider found for prefix %s % provider_prefix
end
return call config=settings at string traitlets_config spec=spec
end function | def get_provider(self, provider_prefix, spec):
providers = self.settings['repo_providers']
if provider_prefix not in providers:
raise web.HTTPError(404, "No provider found for prefix %s" % provider_prefix)
return providers[provider_prefix](
config=self.settings['traitlet... | Python | nomic_cornstack_python_v1 |
function fit self dataset batch_size epochs split_ratio=0.7
begin
comment Set the train len based on split ratio
set train_len = integer length dataset * split_ratio
comment Initialize the train and validation generator
set train_generator = call DataGenerator x_set=dataset at slice : train_len : batch_size=batch_siz... | def fit(self, dataset, batch_size, epochs, split_ratio=0.7):
# Set the train len based on split ratio
train_len = int(len(dataset) * split_ratio)
# Initialize the train and validation generator
train_generator = DataGenerator(x_set=dataset[:train_len], batch_size=batch_size, name=self.name, condition=self.cond... | Python | nomic_cornstack_python_v1 |
from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.textinput import TextInput
from kivy.uix.widget import Widget
from kivy.uix.label import Label
from kivy.uix.boxlayout import BoxLayout
class loginForm extends App
begin
function build self
begin
set order = call BoxLayout orientation=string vert... | from kivy.app import App
from kivy.uix.button import Button
from kivy.uix.textinput import TextInput
from kivy.uix.widget import Widget
from kivy.uix.label import Label
from kivy.uix.boxlayout import BoxLayout
class loginForm(App):
def build(self):
order = BoxLayout(orientation='vertical')
... | Python | zaydzuhri_stack_edu_python |
function __init__ self right=none left=none label=string value=none
begin
set right = right
string right child, taken when a sample[`decisiontree.DecisionTree.label`] > `decisiontree.DecisionTree.value`
set left = left
string left child, taken when sample[`decisiontree.DecisionTree.label`] <= `decisiontree.DecisionTre... | def __init__(self, right=None, left=None, label='', value=None):
self.right = right
'''right child, taken when a sample[`decisiontree.DecisionTree.label`] > `decisiontree.DecisionTree.value`'''
self.left = left
'''left child, taken when sample[`decisiontree.DecisionTree.label`] <= `d... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
set a = list
set b = list a a a | #!/usr/bin/env python
a = []
b = [a,a,a] | Python | zaydzuhri_stack_edu_python |
function op_paths self path_base=none
begin
comment type: (Union[str, UrlPath]) -> Generator[Tuple[UrlPath, Operation]]
string Return all operations stored in containers.
if path_base
begin
set path_base = path_base + path_prefix
end
else
begin
set path_base = path_prefix or call UrlPath
end
for container in containers... | def op_paths(self, path_base=None):
# type: (Union[str, UrlPath]) -> Generator[Tuple[UrlPath, Operation]]
"""
Return all operations stored in containers.
"""
if path_base:
path_base += self.path_prefix
else:
path_base = self.path_prefix or UrlPath(... | Python | jtatman_500k |
import random
class StickGame
begin
function __init__ self sticks player_1_name player_2_name
begin
set sticks = sticks
set turns = dict player_1_name player_2_name ; player_2_name player_1_name
set turn = player_1_name
set sticks_taken = 0
end function
function person_turn self
begin
while true
begin
try
begin
set sti... | import random
class StickGame:
def __init__(self, sticks, player_1_name, player_2_name):
self.sticks = sticks
self.turns = {player_1_name: player_2_name, player_2_name: player_1_name}
self.turn = player_1_name
self.sticks_taken = 0
def person_turn(self):
while True:
... | Python | zaydzuhri_stack_edu_python |
import torch
import torch.nn as nn
class AdaptiveConcatPool2d extends Module
begin
string Concat along the channel dimension of AdaptiveAvgPool2d and AdaptiveMaxPool2d. Args: size: size of pooling, default: (1, 1)
function __init__ self size=tuple 1 1
begin
call __init__
set size = size
set ap = call AdaptiveAvgPool2d ... | import torch
import torch.nn as nn
class AdaptiveConcatPool2d(nn.Module):
"""Concat along the channel dimension of AdaptiveAvgPool2d and AdaptiveMaxPool2d.
Args:
size: size of pooling, default: (1, 1)
"""
def __init__(self, size=(1, 1)):
super().__init__()
self.size = size
... | Python | zaydzuhri_stack_edu_python |
from sklearn.cross_validation import train_test_split
from sklearn.metrics import precision_recall_curve , roc_curve
import sklearn.metrics as metrics
import matplotlib.pyplot as plt
import numpy as np
function rfc_model_analysis model X_train Y_train X_test y_test
begin
comment Model Must be a Random Forest Classifier... | from sklearn.cross_validation import train_test_split
from sklearn.metrics import precision_recall_curve, roc_curve
import sklearn.metrics as metrics
import matplotlib.pyplot as plt
import numpy as np
def rfc_model_analysis(model,X_train,Y_train,X_test,y_test):
# Model Must be a Random Forest Classifier
m... | Python | zaydzuhri_stack_edu_python |
function find_user self uid=none name=none
begin
for user in run string enumerate.gather progress=false types=list string user
begin
if uid is none or id == uid and name is none or name == name
begin
return user
end
end
end function | def find_user(self, uid=None, name=None):
for user in self.run("enumerate.gather", progress=False, types=["user"]):
if (uid is None or user.id == uid) and (name is None or user.name == name):
return user | Python | nomic_cornstack_python_v1 |
function is_file_i value
begin
if not type value is str and is file path value
begin
return false
end
else
begin
return true
end
end function | def is_file_i(value):
if not (type(value) is str and os.path.isfile(value)):
return False
else:
return True | Python | nomic_cornstack_python_v1 |
async function _auth_cram_md5 self username password
begin
string Performs an authentication attemps using the CRAM-MD5 mechanism. Protocol: 1. Send 'AUTH CRAM-MD5' to server ; 2. If the server replies with a 334 return code, we can go on: 1) The challenge (sent by the server) is base64-decoded ; 2) The decoded challen... | async def _auth_cram_md5(self, username, password):
"""
Performs an authentication attemps using the CRAM-MD5 mechanism.
Protocol:
1. Send 'AUTH CRAM-MD5' to server ;
2. If the server replies with a 334 return code, we can go on:
1) The challenge (sent ... | Python | jtatman_500k |
from bs4 import BeautifulSoup
set html_string = string <html> <p class="highlight">This is a highlighted paragraph</p> <div> <span>This is a span</span> <p>This is a regular paragraph</p> <p class="highlight">This is another highlighted paragraph</p> </div> </html>
set soup = call BeautifulSoup html_string string html.... | from bs4 import BeautifulSoup
html_string = '''
<html>
<p class="highlight">This is a highlighted paragraph</p>
<div>
<span>This is a span</span>
<p>This is a regular paragraph</p>
<p class="highlight">This is another highlighted paragraph</p>
</div>
</html>
'''
soup = BeautifulSoup(html_string, 'ht... | Python | greatdarklord_python_dataset |
comment Author: Joshua Campbell
comment Python: version 2.7.3
comment Purpose: Experiment with Genetic Algorithms to find solutions to problems, in this case
comment to find suitable behaviour buying/selling stocks listed on NASDAQ given 3 months
comment historical data. This is for my learning purposes only, so low ex... | #Author: Joshua Campbell
#Python: version 2.7.3
#Purpose: Experiment with Genetic Algorithms to find solutions to problems, in this case
# to find suitable behaviour buying/selling stocks listed on NASDAQ given 3 months
# historical data. This is for my learning purposes only, so low expectations woul... | Python | zaydzuhri_stack_edu_python |
class Solution extends object
begin
function mostCommonWord self paragraph banned
begin
string :type paragraph: str :type banned: List[str] :rtype: str
set stopwords = list string ! string ? string , string . string ; string ' string
set maxi = 0
set mc = string
set wc = dict
for x in stopwords
begin
set paragraph =... | class Solution(object):
def mostCommonWord(self, paragraph, banned):
"""
:type paragraph: str
:type banned: List[str]
:rtype: str
"""
stopwords = ["!", "?", ",", ".", ";", "'", " "]
maxi = 0
mc = ""
wc = {}
for x in stopwords:
... | Python | zaydzuhri_stack_edu_python |
function demo
begin
from nodebox_linguistics_extended.parser.nltk_lite.corpora import brown
from nodebox_linguistics_extended.parser.nltk_lite import tag
import sys
print string Training taggers.
comment Create a default tagger
set t0 = call Default string nn
set t1 = call Unigram cutoff=1 backoff=t0
train t1 call tagg... | def demo():
from nodebox_linguistics_extended.parser.nltk_lite.corpora import brown
from nodebox_linguistics_extended.parser.nltk_lite import tag
import sys
print("Training taggers.")
# Create a default tagger
t0 = tag.Default("nn")
t1 = tag.Unigram(cutoff=1, backoff=t0)
t1.train(brow... | Python | nomic_cornstack_python_v1 |
function test_check_metadata_parses
begin
set check = call CheckTester googlefonts_profile string com.google.fonts/check/metadata/parses
set good = call TEST_FILE string merriweather/Merriweather-Regular.ttf
call assert_PASS call check good string with a good METADATA.pb file...
set skip = call TEST_FILE string slabo/S... | def test_check_metadata_parses():
check = CheckTester(googlefonts_profile,
"com.google.fonts/check/metadata/parses")
good = TEST_FILE("merriweather/Merriweather-Regular.ttf")
assert_PASS(check(good),
'with a good METADATA.pb file...')
skip = TEST_FILE("slabo/Sla... | Python | nomic_cornstack_python_v1 |
function add_star_streamer client_id streamer_id now=none
begin
set now = call _get_now now
try
begin
comment Get the indexed name of the streaming user.
set streamer_indexed_name = indexed_name
comment Add the client's star for the streaming user.
set starred_streamer = call StarredStreamer user_id=client_id streamer_... | def add_star_streamer(client_id, streamer_id, now=None):
now = _get_now(now)
try:
# Get the indexed name of the streaming user.
streamer_indexed_name = session.query(User.indexed_name)\
.filter(User.id == streamer_id)\
.one()\
.indexed_name
# Add the client's star for the streaming user.
starred_... | Python | nomic_cornstack_python_v1 |
while i > - 3
begin
if i % 2 == 0 and i > 0
begin
print string i + string is even
end
else
if i % 2 != 0 and i > 0
begin
print string i + string is odd
end
else
begin
print string i + string is negative
end
set i = i - 3
end | while i > -3:
if (i % 2) == 0 and i > 0:
print(str(i)+ "is even")
elif (i % 2 )!= 0 and i > 0:
print(str(i)+ "is odd")
else:
print(str(i)+ "is negative")
i = i-3
| Python | zaydzuhri_stack_edu_python |
set my = input string Enter a char:
if my >= string a and my <= string z or my >= string A and my <= string Z
begin
print my string it is an alphabet
end
else
begin
print my string it is not an alphabet
end | my = input("Enter a char: ")
if((my>='a' and my<= 'z') or (my>='A' and my<='Z')):
print(my, "it is an alphabet")
else:
print(my, "it is not an alphabet") | Python | zaydzuhri_stack_edu_python |
function qini_score tau_score y_true treatment_group prob_treatment n_bins=10
begin
return NotImplementedError
end function | def qini_score(tau_score, y_true, treatment_group, prob_treatment, n_bins=10):
return NotImplementedError | Python | nomic_cornstack_python_v1 |
function log_image tag data global_step walltime=none logger=none
begin
set logger = logger or call _get_context_logger
info call ImageT tag=tag img_tensor=data global_step=global_step walltime=walltime or time
end function | def log_image(tag: str,
data: str,
global_step: int,
walltime: Optional[float] = None,
logger: Optional[logging.Logger] = None) -> None:
logger = logger or _get_context_logger()
logger.info(ImageT(tag=tag, img_tensor=data, global_step=global_step,
... | Python | nomic_cornstack_python_v1 |
function load_subgait robot gait_directory gait_name subgait_name gait_version_map
begin
if not get gait_version_map gait_name
begin
raise call GaitNameNotFound gait_name
end
if not get gait_version_map at gait_name subgait_name
begin
raise call SubgaitNameNotFound subgait_name
end
set version = gait_version_map at gai... | def load_subgait(robot, gait_directory, gait_name, subgait_name, gait_version_map):
if not gait_version_map.get(gait_name):
raise GaitNameNotFound(gait_name)
if not gait_version_map[gait_name].get(subgait_name):
raise SubgaitNameNotFound(subgait_name)
version = gait_vers... | Python | nomic_cornstack_python_v1 |
string Converts an integer number to an ordinal-type name string Example: int(123456789) -> "123 million 456 thousand 789 units" Input range: signed 32-bit integers 0 .. 2^31 Algorithm: convert positional blocks in the thousands/millions|billions range by using modulus operation by powers of 1000 at each step save the ... | """
Converts an integer number to an ordinal-type name string
Example:
int(123456789) -> "123 million 456 thousand 789 units"
Input range:
signed 32-bit integers 0 .. 2^31
Algorithm:
convert positional blocks in the thousands/millions|billions range
by using modulus operation by powers of 1... | Python | zaydzuhri_stack_edu_python |
comment Ejercicio 2
comment Complete el siguiente codigo para recorrer la lista `x` e imprima
comment los numeros impares y que pare de imprimir al encontrar un numero mayor a 800
import numpy as np
set x = call int_ random 100 * 1000
set dx = length x
for i in range dx
begin
if x at i < 800
begin
if x at i % 2 == 1
be... | # Ejercicio 2
# Complete el siguiente codigo para recorrer la lista `x` e imprima
# los numeros impares y que pare de imprimir al encontrar un numero mayor a 800
import numpy as np
x = np.int_(np.random.random(100)*1000)
dx = len(x)
for i in range(dx):
if(x[i] < 800):
if (x[i]%2 == 1):
print(x[i])
| Python | zaydzuhri_stack_edu_python |
function opt_bindzone self filename
begin
if not exists path filename
begin
raise call UsageError filename + string : No such file
end
append bindfiles filename
end function | def opt_bindzone(self, filename):
if not os.path.exists(filename):
raise usage.UsageError(filename + ": No such file")
self.bindfiles.append(filename) | Python | nomic_cornstack_python_v1 |
comment 抓取網頁原始碼
import urllib.request as req
set url = string https://www.ptt.cc/bbs/PokeMon/index.html
comment 模仿使用者,建立一個request物件
set request = call Request url headers=dict string User-Agent string Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36
with... | # 抓取網頁原始碼
import urllib.request as req
url="https://www.ptt.cc/bbs/PokeMon/index.html"
#模仿使用者,建立一個request物件
request=req.Request(url, headers={
"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36"
})
with req.urlopen(request) as resp... | Python | zaydzuhri_stack_edu_python |
comment Importation des modules
import serial
comment pour la communication avec le port série
import serial.tools.list_ports
comment initialisation des listes
set liste_distance = list
comment Fonction pour la récupération des données série venant de la carte Arduino
function recup_port_Arduino
begin
set ports = list... | #Importation des modules
import serial
import serial.tools.list_ports # pour la communication avec le port série
#initialisation des listes
liste_distance = []
# Fonction pour la récupération des données série venant de la carte Arduino
def recup_port_Arduino() :
ports = list(serial.tools.list_ports.comports()... | Python | zaydzuhri_stack_edu_python |
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