code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment 따라하며 배우는 파이썬과 데이터과학(생능출판사 2020)
comment 8.2 딕셔너리의 기능을 알아보자, 201쪽
set person_dic = dict string Name string 홍길동 ; string Age 27 ; string Class string 초급
comment 딕셔너리의 'Name'이라는 키로 값을 조회함
print person_dic at string Name
comment 딕셔너리의 'Age'이라는 키로 값을 조회함
print person_dic at string Age | #
# 따라하며 배우는 파이썬과 데이터과학(생능출판사 2020)
# 8.2 딕셔너리의 기능을 알아보자, 201쪽
#
person_dic = {'Name': '홍길동', 'Age': 27, 'Class': '초급'}
print(person_dic['Name']) # 딕셔너리의 'Name'이라는 키로 값을 조회함
print(person_dic['Age']) # 딕셔너리의 'Age'이라는 키로 값을 조회함 | Python | zaydzuhri_stack_edu_python |
from lib.equation import Equation
try
begin
set equation = parse Equation input string Enter a chemical equation to balance:
end
except Exception as error
begin
print string ERROR: { msg }
call quit
end
call balance
assert call is_balanced msg string Could not balance: { equation }
print equation | from lib.equation import Equation
try:
equation = Equation.parse(input("Enter a chemical equation to balance: "))
except Exception as error:
print(f"ERROR: {error.msg}")
quit()
equation.balance()
assert equation.is_balanced(), f"Could not balance: {equation}"
print(equation)
| Python | zaydzuhri_stack_edu_python |
function three_layer_convnet x params
begin
set tuple conv_w1 conv_b1 conv_w2 conv_b2 fc_w fc_b = params
set scores = none
comment Implement the forward pass for the three-layer ConvNet. #
set conv1 = conv 2d x conv_w1 conv_b1 stride=1 padding=2
set relu1 = relu conv1
set conv2 = conv 2d relu1 conv_w2 conv_b2 stride=1 ... | def three_layer_convnet(x, params):
conv_w1, conv_b1, conv_w2, conv_b2, fc_w, fc_b = params
scores = None
################################################################################
# Implement the forward pass for the three-layer ConvNet. #
######################################... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
import dbwrite
from kivy.app import App
from kivy.uix.screenmanager import ScreenManager , Screen
from kivy.lang import Builder
from kivy.uix.image import Image
from kivy.uix.behaviors import ButtonBehavior
from kivy.uix.screenmanager import NoTransition
from kivy.config import Config
set ... | # -*- coding: utf-8 -*-
import dbwrite
from kivy.app import App
from kivy.uix.screenmanager import ScreenManager, Screen
from kivy.lang import Builder
from kivy.uix.image import Image
from kivy.uix.behaviors import ButtonBehavior
from kivy.uix.screenmanager import NoTransition
from kivy.config import Config
Config.set... | Python | zaydzuhri_stack_edu_python |
function to_str self
begin
return call pformat call to_dict
end function | def to_str(self):
return pprint.pformat(self.to_dict()) | Python | nomic_cornstack_python_v1 |
function write_settings settings_path
begin
set priority = list
set host = if expression xnat_host then string %s % xnat_host else string
if p_order
begin
set priority = split p_order string ,
set p_mod = string {
set p_proc = string {
for tuple ind project in enumerate priority
begin
if ind == 0
begin
set p_mod = p_... | def write_settings(settings_path):
priority = []
host = '%s' % args.xnat_host if args.xnat_host else ''
if args.p_order:
priority = args.p_order.split(",")
p_mod = '{'
p_proc = '{'
for ind, project in enumerate(priority):
if ind == 0:
p_mod += '"%s... | Python | nomic_cornstack_python_v1 |
function convert_to_csv path
begin
set directory = directory name path path
set file_name_w_ext = base name path path
set file_name = call splitext file_name_w_ext at 0
set csv_file_path = join path directory file_name + string .csv
set data_xls = call read_excel path string Data-Residential Composition
to csv data_xls... | def convert_to_csv(path):
directory = os.path.dirname(path)
file_name_w_ext = os.path.basename(path)
file_name = os.path.splitext(file_name_w_ext)[0]
csv_file_path = os.path.join(directory, file_name + ".csv")
data_xls = pd.read_excel(path, 'Data-Residential Composition')
data_xls.to_csv(cs... | Python | nomic_cornstack_python_v1 |
comment course_master.csvからコース番号を入力することでコースの情報を取り込んで辞書に入れる
import csv
set file_path = string course_master.csv
comment csvを辞書に変換して計算をするクラスを作成
class course_info
begin
function __init__ self name
begin
set name = name
end function
function course_name self
begin
with open file_path newline=string encoding=string utf-8 a... | # course_master.csvからコース番号を入力することでコースの情報を取り込んで辞書に入れる
import csv
file_path = "course_master.csv"
# csvを辞書に変換して計算をするクラスを作成
class course_info:
def __init__(self,name):
self.name = name
def course_name(self):
with open(file_path, newline='', encoding='utf-8') as csvfile:
reader = csv... | Python | zaydzuhri_stack_edu_python |
function set self key value
begin
set k = call hash_function key
set item = item key value
comment Check for hash presence
if table at k
begin
comment Check for specific presence
if key == key
begin
set value = value
end
else
begin
comment Handle collision
call double_hash
set k = call hash_function key
append table at... | def set(self, key, value):
k = self.hash_function(key)
self.item = Item(key, value)
if self.table[k]: # Check for hash presence
if self.table[k][0].key == key: # Check for specific presence
self.table[k][0].value = value
else:
... | Python | nomic_cornstack_python_v1 |
function is_leap_year year
begin
if year % 4 == 0 and year % 100 != 0 or year % 400 == 0
begin
return true
end
return false
end function | def is_leap_year(year):
if year%4==0 and (year%100!=0 or year%400==0):
return True
return False | Python | zaydzuhri_stack_edu_python |
function append self item
begin
set validated_value = call get_validated_object item
if validated_value is not none
begin
append __modified_data__ validated_value
end
end function | def append(self, item):
validated_value = self.get_validated_object(item)
if validated_value is not None:
self.__modified_data__.append(validated_value) | Python | nomic_cornstack_python_v1 |
function _parse_subroutine_type self die
begin
set prototyped_attribute = get attributes string DW_AT_prototyped
set prototyped = if expression prototyped_attribute is none then string else call _get_value_by_attribute die prototyped_attribute
set subroutine_type = call Subroutine prototyped
set attribute subroutine_t... | def _parse_subroutine_type(self, die):
prototyped_attribute = die.attributes.get("DW_AT_prototyped")
prototyped = "" if prototyped_attribute is None else \
self._get_value_by_attribute(die, prototyped_attribute)
subroutine_type = Subroutine(prototyped)
setattr(subroutine_type... | Python | nomic_cornstack_python_v1 |
function getSuccessor self state action
begin
set successor = call generateSuccessor index action
set pos = call getPosition
if pos != call nearestPoint pos
begin
comment Only half a grid position was covered
set successor = call generateSuccessor index action
end
return successor
end function | def getSuccessor(self, state, action):
successor = state.generateSuccessor(self.index, action)
pos = successor.getAgentState(self.index).getPosition()
if pos != nearestPoint(pos):
# Only half a grid position was covered
successor = successor.generateSuccessor(self.index, ... | Python | nomic_cornstack_python_v1 |
function updateInfo self info
begin
if not is directory path loc and subs == list
begin
call addFileToInfos tuple info
end
else
begin
for sub in subs
begin
call updateInfo info
end
end
end function | def updateInfo(self, info):
if not os.path.isdir(self.loc) and self.subs == []:
self.addFileToInfos((info,))
else:
for sub in self.subs:
sub.updateInfo(info) | Python | nomic_cornstack_python_v1 |
function name self
begin
return get pulumi self string name
end function | def name(self) -> pulumi.Input[str]:
return pulumi.get(self, "name") | Python | nomic_cornstack_python_v1 |
from __future__ import print_function , division
from keras.models import load_model
import numpy as np
from GAN import fid
class CGAN
begin
function __init__ self load_path num_classes=10 latent_dim=100 gen_save_step=1000
begin
comment Input shape
set img_rows = 32
set img_cols = 32
set channels = 1
set img_shape = tu... | from __future__ import print_function, division
from keras.models import load_model
import numpy as np
from GAN import fid
class CGAN():
def __init__(self, load_path, num_classes=10, latent_dim=100, gen_save_step=1000):
# Input shape
self.img_rows = 32
self.img_cols = 32
self.chann... | Python | zaydzuhri_stack_edu_python |
function call self vm
begin
for opcode in global_code
begin
execute opcode vm self
end
end function | def call(self, vm):
for opcode in self.global_code:
opcode.execute(vm, self) | Python | nomic_cornstack_python_v1 |
comment ! /usr/bin/env python
comment -*- coding: utf-8 -*-
comment __author__ = "Bonnie Li"
comment Email: bonnie922713@126.com
comment Date: 6/14/18
function print_log msg log_type=string info
begin
string 写个通用的打印log 的程序
if log_type == string info
begin
print string [32;1m%s[0m % msg
end
else
if log_type == string ... | #! /usr/bin/env python
# -*- coding: utf-8 -*-
# __author__ = "Bonnie Li"
# Email: bonnie922713@126.com
# Date: 6/14/18
def print_log(msg, log_type='info'):
"""写个通用的打印log 的程序"""
if log_type == 'info':
print('\033[32;1m%s\033[0m' % msg)
elif log_type == 'error':
print('\033[31;1m%s\033[0m' ... | Python | zaydzuhri_stack_edu_python |
import click
import itertools
decorator call command
decorator call option string --f type=call File default=string day1.txt
function cli f
begin
set all_nums_str = read f
set all_nums = list comprehension integer i for i in split all_nums_str string
set all_combos = product all_nums all_nums
with call progressbar all_... | import click
import itertools
@click.command()
@click.option('--f', type=click.File(), default='day1.txt')
def cli(f):
all_nums_str = f.read()
all_nums = [int(i) for i in all_nums_str.split('\n')]
all_combos = itertools.product(all_nums, all_nums)
with click.progressbar(all_combos, label='part1') as pb... | Python | zaydzuhri_stack_edu_python |
function kruskal Grafo diferencia
begin
set edges = list
comment print(diferencia,"la diferencia" )
comment collect the edges in G
for i in range length Grafo
begin
for tuple v w in Grafo at i
begin
if w != - 1
begin
append edges tuple i v w
end
end
end
comment sort the edges in ascending order w.r.t weights in the edg... | def kruskal(Grafo,diferencia):
edges = list()
#print(diferencia,"la diferencia" )
for i in range(len(Grafo)): # collect the edges in G
for v,w in Grafo[i]:
if (w!=-1):
edges.append((i,v,w))
# sort the edges in ascending order w.r.t weights in the edges
edges.sort(key=lambda x: ... | Python | nomic_cornstack_python_v1 |
function test_create_source tmpdir
begin
set one = make directory tmpdir string one
set two = make directory tmpdir string two
set three = make directory tmpdir string three
set four = make directory two string four
set one_ap = format string {} {} strpath string ../three
write join one string settings.ini format PATHS... | def test_create_source(tmpdir):
one = tmpdir.mkdir('one')
two = tmpdir.mkdir('two')
three = tmpdir.mkdir('three')
four = two.mkdir('four')
one_ap = '\n {}\n {}'.format(two.strpath, '../three')
one.join('settings.ini').write(PATHS_FRAGMENT_TEMPLATE.format(one_ap))
one.join('one').write... | Python | nomic_cornstack_python_v1 |
function create_dense_model only_digits=false hidden_units=200
begin
set num_classes = if expression only_digits then 10 else 62
function forward_pass batch
begin
set network = sequential list flatten hk linear hidden_units relu linear hidden_units relu linear num_classes
return call network batch at string x
end funct... | def create_dense_model(only_digits: bool = False,
hidden_units: int = 200) -> models.Model:
num_classes = 10 if only_digits else 62
def forward_pass(batch):
network = hk.Sequential([
hk.Flatten(),
hk.Linear(hidden_units),
jax.nn.relu,
hk.Linear(hidden_unit... | Python | nomic_cornstack_python_v1 |
function remove_vowels string
begin
comment List of vowels
set vowels = string aeiouAEIOU
comment Loop through each character in the string
for char in string
begin
comment Check if the character is a vowel
if char in vowels
begin
comment Remove the vowel from the string
set string = replace string char string
end
end
... | def remove_vowels(string):
vowels = 'aeiouAEIOU' # List of vowels
# Loop through each character in the string
for char in string:
# Check if the character is a vowel
if char in vowels:
# Remove the vowel from the string
string = string.replace(char, '')
... | Python | jtatman_500k |
function loadSavedModel folder spark_session
begin
from sparknlp.internal import _T5Loader
set jModel = _java_obj
return call T5Transformer java_model=jModel
end function | def loadSavedModel(folder, spark_session):
from sparknlp.internal import _T5Loader
jModel = _T5Loader(folder, spark_session._jsparkSession)._java_obj
return T5Transformer(java_model=jModel) | Python | nomic_cornstack_python_v1 |
comment Practica1 Ordenacion topologica de un grafo G.
comment Cristhian Carmona Torres
comment README! Ingresar fichero con extension. Ex: nombreFichero.txt
import networkx as nx
function llegir_graf
begin
string lee el grafo de un fichero de texto
global Grafo
set Grafo = call Graph
set nom = call raw_input string Do... | # Practica1 Ordenacion topologica de un grafo G.
# Cristhian Carmona Torres
# README! Ingresar fichero con extension. Ex: nombreFichero.txt
import networkx as nx
def llegir_graf():
'''lee el grafo de un fichero de texto'''
global Grafo
Grafo = nx.Graph()
nom = raw_input("Doneu el nom del graf: ")
... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
string @param S: a string @return: a list of integers representing the size of these parts
function partitionLabels self S
begin
comment first get the counter of chars in S
comment loop over S, char_set.add(first char)
comment substract count of char and add char to set until the set is null
commen... | class Solution:
"""
@param S: a string
@return: a list of integers representing the size of these parts
"""
def partitionLabels(self, S):
# first get the counter of chars in S
# loop over S, char_set.add(first char)
# substract count of char and add char to set until the set ... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
import math
set a = integer input string Digite o número 1:
set b = integer input string Digite o número 2:
set c = integer input string Digite o número 3:
set d = integer input string Digite o número 4:
set e = integer input string Digite o número 5:
comment CONTINUE...
if a < b and c and... | # -*- coding: utf-8 -*-
import math
a = int(input('Digite o número 1: '))
b = int(input('Digite o número 2: '))
c = int(input('Digite o número 3: '))
d = int(input('Digite o número 4: '))
e = int(input('Digite o número 5: '))
#CONTINUE...
if a<b and c and d and e:
print(a)
elif b<a and c and d and e:
print(b... | Python | zaydzuhri_stack_edu_python |
comment use deque as stack
from collections import deque
set q = deque
append q string first
append q string second
append q string third
print q
print pop q
print pop q
print pop q
print q | # use deque as stack
from collections import deque
q = deque()
q.append('first')
q.append('second')
q.append('third')
print(q)
print(q.pop())
print(q.pop())
print(q.pop())
print(q)
| Python | zaydzuhri_stack_edu_python |
function flag_video self video_id flag_reason=string
begin
print string flag_video needs implementation
end function | def flag_video(self, video_id, flag_reason=""):
print("flag_video needs implementation") | Python | nomic_cornstack_python_v1 |
comment Enter your code here
from functools import reduce
function collapse L
begin
set reducer = lambda x -> if expression is instance x list then call collapse x else x
return reduce lambda x y -> call reducer x + string + call reducer y L
end function | # Enter your code here
from functools import reduce
def collapse(L):
reducer = lambda x: collapse(x) if isinstance(x, list) else x
return reduce(lambda x,y: reducer(x) + " " + reducer(y), L)
| Python | zaydzuhri_stack_edu_python |
function serialize_numpy self buff numpy
begin
try
begin
set _x = self
write buff call pack seq secs nsecs
set _x = frame_id
set length = length _x
if python3 or type _x == unicode
begin
set _x = encode _x string utf-8
set length = length _x
end
if python3
begin
write buff call pack string <I%sB % length length *_x
end... | def serialize_numpy(self, buff, numpy):
try:
_x = self
buff.write(_struct_3I.pack(_x.pose.header.seq, _x.pose.header.stamp.secs, _x.pose.header.stamp.nsecs))
_x = self.pose.header.frame_id
length = len(_x)
if python3 or type(_x) == unicode:
_x = _x.encode('utf-8')
lengt... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import os
import ast
set negative_examples_dir = string /path/to/9_FINAL/data/negative_examples/
set negative_examples_files = list directory negative_examples_dir
function extractPIDs x
begin
comment get the pids in the array of dictionaries and append if not already existing
set pids = list
for a... | import pandas as pd
import os
import ast
negative_examples_dir = '/path/to/9_FINAL/data/negative_examples/'
negative_examples_files = os.listdir(negative_examples_dir)
def extractPIDs(x):
# get the pids in the array of dictionaries and append if not already existing
pids = []
for array in x:
elem... | Python | zaydzuhri_stack_edu_python |
function type self
begin
return container at string type
end function | def type(self):
return self.container['type'] | Python | nomic_cornstack_python_v1 |
string View classes to transform reports/tables into readable form.
import sys
from bnk.tables import Table
class NativeView extends object
begin
string A simple view of a table, mainly useful for debugging and diffing. The table is transformed into strings, one cell per line with the cell location displayed along with... | """View classes to transform reports/tables into readable form."""
import sys
from bnk.tables import Table
class NativeView(object):
"""A simple view of a table, mainly useful for debugging and diffing.
The table is transformed into strings, one cell per line with the cell
location displayed along with ... | Python | zaydzuhri_stack_edu_python |
function pogo_path x y
begin
set path = string
if x > 0
begin
set path = path + string WE * x
end
else
if x < 0
begin
set path = path + string EW * - x
end
if y > 0
begin
set path = path + string SN * y
end
else
if y < 0
begin
set path = path + string NS * - y
end
return path
end function
set cases = integer call raw_... | def pogo_path(x, y):
path = ''
if x > 0:
path += 'WE' * x
elif x < 0:
path += 'EW' * -x
if y > 0:
path += 'SN' * y
elif y < 0:
path += 'NS' * -y
return path
cases = int(raw_input())
for case in range(cases):
x, y = map(int, raw_input().split())
path = pogo_path(x, y) | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment -*- coding: utf-8 -*-
comment Start Gateway: start gw
comment Restart Gateway: restart gw
comment Stop Gateway: stop gw
import os
import json
if __name__ == string __main__
begin
set ruleslist = dict string nodes list
set abspath = get current directory
set file = open abspath + string... | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Start Gateway: start gw
# Restart Gateway: restart gw
# Stop Gateway: stop gw
import os
import json
if __name__ == '__main__':
ruleslist = {"nodes":[]}
abspath = os.getcwd()
file = open(abspath + "/firewall_conf.json", "a+")
sizefile = os.path.getsize(abspa... | Python | zaydzuhri_stack_edu_python |
function solution n
begin
set count = 1
set nature_list = list range n // 2 + 2
set _sum = 0
set start = 0
for tuple i num in enumerate nature_list
begin
set _sum = _sum + i
if _sum == n
begin
set count = count + 1
end
else
begin
while _sum > n
begin
set _sum = _sum - nature_list at start
set start = start + 1
end
if _... | def solution(n):
count = 1
nature_list = list(range(n // 2 + 2))
_sum = 0
start = 0
for i, num in enumerate(nature_list):
_sum += i
if _sum == n:
count += 1
else:
while _sum > n:
_sum -= nature_list[start]
start += 1
... | Python | zaydzuhri_stack_edu_python |
if 0 < integer s at slice : 2 : <= 12 and 0 < integer s at slice 2 : : <= 12
begin
print string AMBIGUOUS
end
else
if 0 < integer s at slice : 2 : <= 12 and integer s at slice 2 : : >= 12
begin
print string MMYY
end
else
if 0 < integer s at slice : 2 : < 12 and integer s at slice 2 : : == 0
begin
print string MMY... | if 0 < int(s[:2]) <= 12 and 0 < int(s[2:]) <= 12:
print('AMBIGUOUS')
elif 0 < int(s[:2]) <= 12 and int(s[2:]) >= 12:
print('MMYY')
elif 0 < int(s[:2]) < 12 and int(s[2:]) == 0:
print('MMYY')
elif int(s[:2]) >= 12 > 0 and 0 < int(s[2:]) <= 12:
print('YYMM')
elif int(s[:2]) == 0 and 0 < int(s[2:]) <= 12:
... | Python | zaydzuhri_stack_edu_python |
function setSortingOrder self text
begin
call setSort call fieldIndex title_to_field at text AscendingOrder
select model
end function | def setSortingOrder(self, text):
self.model.setSort(self.model.fieldIndex(self.title_to_field[text]), Qt.AscendingOrder)
self.model.select() | Python | nomic_cornstack_python_v1 |
function __init__ self finger_urdf_path tip_link_names
begin
set urdf_path = string /opt/blmc_ei/src/robot_properties_fingers/urdf/pro/trifingerpro.urdf
set tip_link_names = list string finger_tip_link_0 string finger_tip_link_120 string finger_tip_link_240
set robot_model = call buildModelFromUrdf finger_urdf_path
set... | def __init__(
self, finger_urdf_path: str, tip_link_names: typing.Iterable[str]
):
self.urdf_path = '/opt/blmc_ei/src/robot_properties_fingers/urdf/pro/trifingerpro.urdf'
self.tip_link_names = [
"finger_tip_link_0",
"finger_tip_link_120",
"finger_tip_link_... | Python | nomic_cornstack_python_v1 |
async function spaced self ctx text
begin
await call send strip replace text string string
end function | async def spaced(self, ctx: DogbotContext, *, text: clean_content):
await ctx.send(text.replace('', ' ').strip()) | Python | nomic_cornstack_python_v1 |
import random
set n = 10
set my_array = list
function generate_an_array n
begin
for i in range n
begin
set s = random integer 0 100
append my_array s
end
return my_array
end function
print my_array
for i in range length my_array - 1 0 - 1
begin
for j in range i
begin
if my_array at j > my_array at j + 1
begin
set t = ... | import random
n=10
my_array=[]
def generate_an_array(n):
for i in range(n):
s=random.randint(0,100)
my_array.append(s)
return my_array
print(my_array)
for i in range(len(my_array)-1,0,-1):
for j in range(i):
if(my_array[j]>my_array[j+1]):
t=my_array[j]
my_array[j]=my_array... | Python | zaydzuhri_stack_edu_python |
function set_ssl_addr self addr
begin
set t_ssl_addresses at call get_ident = addr
end function | def set_ssl_addr(self, addr):
Server.t_ssl_addresses[threading.get_ident()] = addr | Python | nomic_cornstack_python_v1 |
function add_random_objects scene_struct num_objects args camera
begin
comment Load the property file
with open properties_json string r as f
begin
set properties = load json f
set color_name_to_rgba = dict
for tuple name rgb in items properties at string colors
begin
set rgba = list comprehension decimal c / 255.0 fo... | def add_random_objects(scene_struct, num_objects, args, camera):
# Load the property file
with open(args.properties_json, 'r') as f:
properties = json.load(f)
color_name_to_rgba = {}
for name, rgb in properties['colors'].items():
rgba = [float(c) / 255.0 for c in rgb] + [1.0... | Python | nomic_cornstack_python_v1 |
function ingress_class_name self value
begin
set _properties at string ingressClassName = value
end function | def ingress_class_name(self, value: str):
self._properties["ingressClassName"] = value | Python | nomic_cornstack_python_v1 |
import torch
import torch.nn as nn
import torchvision.models as models
class EncoderCNN extends Module
begin
function __init__ self embed_size
begin
call __init__
set resnet = call resnet50 pretrained=true
for param in parameters resnet
begin
call requires_grad_ false
end
set modules = list call children at slice : - ... | import torch
import torch.nn as nn
import torchvision.models as models
class EncoderCNN(nn.Module):
def __init__(self, embed_size):
super(EncoderCNN, self).__init__()
resnet = models.resnet50(pretrained=True)
for param in resnet.parameters():
param.requires_grad_(False)
... | Python | zaydzuhri_stack_edu_python |
function lsncuricmpsessions self
begin
try
begin
return _lsncuricmpsessions
end
except Exception as e
begin
raise e
end
end function | def lsncuricmpsessions(self) :
try :
return self._lsncuricmpsessions
except Exception as e:
raise e | Python | nomic_cornstack_python_v1 |
string 3 layer neural network (can be used to compute XOR ) *input layer has 2 input neurons (plus one for bias) *hidden layer has 2 neurons (plus one for bias) *output layer has one neuron note: number of layers can be changed depending on the inputs.
import numpy as np
function sigmoid x
begin
return 1 / 1 + exp - x
... | '''
3 layer neural network (can be used to compute XOR )
*input layer has 2 input neurons (plus one for bias)
*hidden layer has 2 neurons (plus one for bias)
*output layer has one neuron
note: number of layers can be changed depending on the inputs.
'''
import numpy as np
def sigmoid(x):
return (1/(1 + n... | Python | zaydzuhri_stack_edu_python |
function add_metadata_for_subject rdf_graph subject_uri namespaces nidm_obj
begin
comment Cycle through remaining metadata and add attributes
for tuple predicate objects in call predicate_objects subject=subject_uri
begin
comment if find qualified association
if predicate == call URIRef PROV at string qualifiedAssociat... | def add_metadata_for_subject (rdf_graph,subject_uri,namespaces,nidm_obj):
#Cycle through remaining metadata and add attributes
for predicate, objects in rdf_graph.predicate_objects(subject=subject_uri):
#if find qualified association
if predicate == URIRef(Constants.PROV['qualifiedAssociation'])... | Python | nomic_cornstack_python_v1 |
function solve self env
begin
raise call SkipTest string This is an abstract test case
end function | def solve(self, env) -> Callable[[MapfEnv, Dict], ValueFunctionPolicy]:
raise unittest.SkipTest("This is an abstract test case") | Python | nomic_cornstack_python_v1 |
comment py:UR.is_facing_north
function is_facing_north self
begin
return call is_facing_north_ body
end function | def is_facing_north(self): #py:UR.is_facing_north
return RUR._UR.is_facing_north_(self.body) | Python | nomic_cornstack_python_v1 |
function test_title_with_latex_backslash
begin
comment note the raw string
set latex_text = string $\lim_t v^{A}$
with figure string test_plot file_identifier=string figtest as fig
begin
plot XX_test_linspace label=latex_text
end
set fcontent = call get_gnuplot_file_content
assert string title "%s" % replace latex_text... | def test_title_with_latex_backslash():
# note the raw string
latex_text = r"$\lim_t v^{A}$"
with autogpy.Figure("test_plot", file_identifier="figtest") as fig:
fig.plot(XX_test_linspace, label=latex_text)
fcontent = fig.get_gnuplot_file_content()
assert 'title "%s"' % latex_text.replace("... | Python | nomic_cornstack_python_v1 |
import requests
from pprint import pprint
set API_KEY = string 595695c3
set URL = string http://www.omdbapi.com/?apikey=
set titulo = string The Matrix
set busqueda = URL + API_KEY + string &t= + titulo
set respuesta = get requests busqueda
set dic_peli = json respuesta
comment pprint(dic_peli)
print dic_peli at string... | import requests
from pprint import pprint
API_KEY ="595695c3"
URL= "http://www.omdbapi.com/?apikey="
titulo="The Matrix"
busqueda = URL + API_KEY+ "&t=" + titulo
respuesta = requests.get(busqueda)
dic_peli = respuesta.json()
#pprint(dic_peli)
print(dic_peli["Year"])
#ej1. consultar el api de OMDB e pri,ir el nombre ... | Python | zaydzuhri_stack_edu_python |
class Animal
begin
function __init__ self name age type
begin
set name = name
set age = age
set type = type
end function
function validate_age self
begin
if not is instance age int or age < 1 or age > 20
begin
return false
end
return true
end function
function validate_name self
begin
if not is instance name str or not... | class Animal:
def __init__(self, name, age, type):
self.name = name
self.age = age
self.type = type
def validate_age(self):
if not isinstance(self.age, int) or self.age < 1 or self.age > 20:
return False
return True
def validate_name(self):
if no... | Python | greatdarklord_python_dataset |
string Módulo collection = Named Tuple Collections = High-perfomance Container Datetypes
from collections import namedtuple
set cachorro = named tuple string cachorro list string idade string raça string nome
comment cachorro = namedtuple('cachorro', 'idade raça nome')
comment ou cachorro = namedtuple('cachorro', 'idad... | """
Módulo collection = Named Tuple
Collections = High-perfomance Container Datetypes
"""
from collections import namedtuple
cachorro = namedtuple('cachorro', ['idade', 'raça', 'nome'])
#cachorro = namedtuple('cachorro', 'idade raça nome')
#ou cachorro = namedtuple('cachorro', 'idade, raça, nome')
ray = cac... | Python | zaydzuhri_stack_edu_python |
import tkinter
import re
set box = call Tk
title box string 计算器
call geometry string 300x300+400+100
call resizable false false
function button btn
begin
comment 获取文本框中的内容
set content = get contentVar
comment 如果已有内容是以小数点开头的，在前面加0
if starts with content string .
begin
comment 字符串可以直接用+来增加字符
set content = string 0 + cont... | import tkinter
import re
box = tkinter.Tk()
box.title('计算器')
box.geometry('300x300+400+100')
box.resizable(False, False)
def button(btn):
content = contentVar.get() # 获取文本框中的内容
# 如果已有内容是以小数点开头的，在前面加0
if content.startswith('.'):
content = '0' + content # 字符串可以直接用+来增加字符
# 根据不同的按钮作出不同的反应
if... | Python | zaydzuhri_stack_edu_python |
comment Nick Abbott
comment 10/2/19
import os
import sys
import json
import spotipy
import webbrowser
import spotipy.util as util
from json.decoder import JSONDecodeError
comment print(json.dumps(VARIABLE, sort_keys = True, indent = 4))
set userID = string nabbott335
set id = true
set secret = true
set url = string htt... | #Nick Abbott
#10/2/19
import os
import sys
import json
import spotipy
import webbrowser
import spotipy.util as util
from json.decoder import JSONDecodeError
#print(json.dumps(VARIABLE, sort_keys = True, indent = 4))
userID = 'nabbott335'
id = True
secret = True
url = 'http://google.com/'
#Read access to user's priv... | Python | zaydzuhri_stack_edu_python |
function group_population self population
begin
return population
end function | def group_population(self, population):
return population | Python | nomic_cornstack_python_v1 |
comment ! /usr/bin/env python
comment -*- coding:utf-8 -*-
class Solution extends object
begin
function fractionToDecimal self numerator denominator
begin
string :type numerator: int :type denominator: int :rtype: str
set is_fu = false
if numerator < 0 and denominator > 0 or numerator > 0 and denominator < 0
begin
set ... | #! /usr/bin/env python
# -*- coding:utf-8 -*-
class Solution(object):
def fractionToDecimal(self,numerator,denominator):
"""
:type numerator: int
:type denominator: int
:rtype: str
"""
is_fu=False
if (numerator<0 and denominator>0) or (numerator>0 and denominator<0):
is_fu=True
if numerator<0:
... | Python | zaydzuhri_stack_edu_python |
function movefiles files destdir confirm=true verbose=true copy=true
begin
if not is directory path destdir
begin
make directory os destdir
end
for file in files
begin
set perform_action = string y
end
end function | def movefiles(files, destdir, confirm=True, verbose=True, copy=True):
if not os.path.isdir(destdir):
os.mkdir(destdir)
for file in files:
perform_action = 'y' | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment -*- coding:utf-8 -*-
comment Licensed under the Open Software License ("OSL") v. 3.0 (the "License");
comment you may not use this file except in compliance with the License.
comment You may obtain a copy of the License at
comment http://www.opensource.org/licenses/osl-3.0.php
comme... | #!/usr/bin/env python
#-*- coding:utf-8 -*-
# Licensed under the Open Software License ("OSL") v. 3.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.opensource.org/licenses/osl-3.0.php
# Unless required by applicable law ... | Python | zaydzuhri_stack_edu_python |
from flask import jsonify
from flask_restful import Resource
class HelloWorld extends Resource
begin
function get self name age
begin
return call jsonify data=string Hello World { name } , your age is { age }
end function
function user_details self name age
begin
return call jsonify data=string Hello World { name } , y... | from flask import jsonify
from flask_restful import Resource
class HelloWorld(Resource):
def get(self, name, age):
return jsonify(data=f"Hello World {name}, your age is {age}")
def user_details(self, name, age):
return jsonify(data=f"Hello World {name}, your age is {age}")
def post(self)... | Python | zaydzuhri_stack_edu_python |
string This file tests the TC100 error: >> Missing 'from __future__ import annotations' import The idea is that we should raise one of these errors if a file contains any type-checking imports and one is missing. One thing to note: futures imports should always be at the top of a file, so we only need to check one line... | """
This file tests the TC100 error:
>> Missing 'from __future__ import annotations' import
The idea is that we should raise one of these errors if a file contains any type-checking imports and one is missing.
One thing to note: futures imports should always be at the top of a file, so we only need to check one ... | Python | zaydzuhri_stack_edu_python |
function remove_handler self callback=none
begin
comment remove all
if not callback
begin
set registered_handlers = list
return
end
if callback in registered_handlers
begin
remove registered_handlers callback
end
end function | def remove_handler(self, callback=None):
if not callback: # remove all
self.registered_handlers = []
return
if callback in self.registered_handlers:
self.registered_handlers.remove(callback) | Python | nomic_cornstack_python_v1 |
function sqrDistForCoords x1 x2 y1 y2
begin
return square root power x1 - x2 2 + power y1 - y2 2
end function | def sqrDistForCoords(x1, x2, y1, y2):
return sqrt(pow(x1 - x2, 2) + pow(y1 - y2, 2)) | Python | nomic_cornstack_python_v1 |
function nominify_css_from_files request filenames
begin
return call nominify_from_files request filenames
end function | def nominify_css_from_files(request, filenames):
return nominify_from_files(request, filenames) | Python | nomic_cornstack_python_v1 |
import numpy as np
from skopt import gp_minimize
function f x
begin
set y = x at 0 - 1 ^ 2 + x at 1 ^ 2
print x y
return y
end function
comment return (np.sin(5 * x[0]) * (1 - np.tanh(x[0] ** 2)) *
comment np.random.randn() * 0.1)
set res = call gp_minimize func=f dimensions=list tuple - 2.0 2.0 tuple - 2.0 2.0 n_calls... | import numpy as np
from skopt import gp_minimize
def f(x):
y = ((x[0]-1)**2 + x[1]**2)
print(x, y)
return y
# return (np.sin(5 * x[0]) * (1 - np.tanh(x[0] ** 2)) *
# np.random.randn() * 0.1)
res = gp_minimize(func=f, dimensions=[(-2.0, 2.0), (-2.0, 2.0)], n_calls=40)
print(res) | Python | zaydzuhri_stack_edu_python |
function get_action self q_values iteration training valid_idxs
begin
set epsilon = call get_epsilon iteration=iteration training=training
try
begin
set epsilon = call read_value
end
except AttributeError
begin
pass
end
comment Probability of choosing random action
if random < epsilon
begin
set action = random choice v... | def get_action(self, q_values, iteration, training, valid_idxs):
epsilon = self.get_epsilon(iteration=iteration, training=training)
try:
epsilon = epsilon.read_value()
except AttributeError:
pass
# Probability of choosing random action
if np.ra... | Python | nomic_cornstack_python_v1 |
function get_series_by_name self series_name
begin
try
begin
return tuple call search_series name=series_name none
end
except TVDBRequestException as err
begin
exception string search for series %s failed series_name
return tuple none call _as_str err
end
end function | def get_series_by_name(self, series_name):
try:
return self.api.search_series(name=series_name), None
except exceptions.TVDBRequestException as err:
LOG.exception('search for series %s failed', series_name)
return None, _as_str(err) | Python | nomic_cornstack_python_v1 |
function mask_test_mixin__simple_test_mask ctx self x img_metas det_bboxes det_labels **kwargs
begin
set batch_size = size det_bboxes 0
set det_bboxes = det_bboxes at tuple Ellipsis slice : 4 :
set batch_index = call expand size det_bboxes 0 size det_bboxes 1 1
set mask_rois = call cat list batch_index det_bboxes dim... | def mask_test_mixin__simple_test_mask(ctx, self, x, img_metas, det_bboxes,
det_labels, **kwargs):
batch_size = det_bboxes.size(0)
det_bboxes = det_bboxes[..., :4]
batch_index = torch.arange(
det_bboxes.size(0),
device=det_bboxes.device).float().view(-1, ... | Python | nomic_cornstack_python_v1 |
function make_move self column
begin
comment transpose the
set trans_board = transpose numpy __board at slice : : 1
comment board so that columns are now arrays
if 0 not in trans_board at column or call get_winner or column >= BOARD_COLUMNS or column < 0
begin
comment column is full, illegal or the game is already fi... | def make_move(self, column):
trans_board = numpy.transpose(self.__board[::1]) # transpose the
# board so that columns are now arrays
if 0 not in trans_board[column] or self.get_winner() or column >= \
self.BOARD_COLUMNS or column < 0:
# column is full, illegal or... | Python | nomic_cornstack_python_v1 |
function isValidMove self environment currentCell x2 y2 checkVisited=true
begin
set tuple x1 y1 = tuple x y
comment Check if within bounds
if x2 < 0 or x2 >= length or y2 < 0 or y2 >= breadth
begin
return false
end
comment Check if cell is a wall
set nextCell = grid at x2 at y2
if type == string wall
begin
return false... | def isValidMove(self, environment, currentCell, x2, y2, checkVisited = True):
x1, y1 = currentCell.location.x, currentCell.location.y
# Check if within bounds
if x2 < 0 or x2 >= environment.length or y2 < 0 or y2 >= environment.breadth:
return False
# Check if cell is a wa... | Python | nomic_cornstack_python_v1 |
import csv
import sys
import os
import matplotlib.pyplot as plt
function import_log file_name
begin
print format string Opening {} file_name
set data_dict = dict
with open file_name as csv_file
begin
set csv_reader = reader csv_file delimiter=string ,
set line_count = 0
for row in csv_reader
begin
set line_count = lin... | import csv
import sys
import os
import matplotlib.pyplot as plt
def import_log(file_name):
print('Opening {}'.format(file_name))
data_dict = {}
with open(file_name) as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
for row in csv_reader:
line... | Python | zaydzuhri_stack_edu_python |
comment sql_database_app.py
import sqlite3
import csv
function csv_to_sqldb_migration p_csv_path p_connection p_table_name
begin
with open p_csv_path string r as file
begin
set no_records = 0
print file
for row in file
begin
if split row string , at 0 == string
begin
pass
end
else
begin
print split row string ,
execut... | # sql_database_app.py
import sqlite3
import csv
def csv_to_sqldb_migration(p_csv_path, p_connection, p_table_name):
with open(p_csv_path, "r") as file:
no_records = 0
print(file)
for row in file:
if row.split(",")[0] == "":
pass
else:
... | Python | zaydzuhri_stack_edu_python |
function tokenize_and_append_eos dataset output_features copy_pretokenized=true
begin
return call tokenize dataset output_features copy_pretokenized with_eos=true
end function | def tokenize_and_append_eos(
dataset: tf.data.Dataset,
output_features: OutputFeaturesType,
copy_pretokenized: bool = True,
) -> tf.data.Dataset:
return tokenize(dataset, output_features, copy_pretokenized, with_eos=True) | Python | nomic_cornstack_python_v1 |
set input_date = string 12/31/20
set splitted_date = split input_date string /
set day = splitted_date at 1
set month = splitted_date at 0
set year = string 20 + splitted_date at 2
set output_date = join string - list day month year
print output_date | input_date = '12/31/20'
splitted_date = input_date.split('/')
day = splitted_date[1]
month = splitted_date[0]
year = '20' + splitted_date[2]
output_date = '-'.join([day, month, year])
print(output_date)
| Python | zaydzuhri_stack_edu_python |
function attach_filter node
begin
set ifname = name + string -eth2
info string attaching filter to node %r % node
call cmd string tc qdisc del dev %s clsact % ifname
call cmd string tc qdisc add dev %s clsact % ifname
call cmd string rm bpf_fifo; mkfifo bpf_fifo
comment this is when
call cmd string rm /tmp/bpf
call cmd... | def attach_filter(node):
ifname = node.name + "-eth2"
logging.info("attaching filter to node %r" % node)
node.cmd("tc qdisc del dev %s clsact" % ifname)
node.cmd("tc qdisc add dev %s clsact" % ifname )
node.cmd("rm bpf_fifo; mkfifo bpf_fifo")
# this is when
node.cmd("rm /tmp/bpf")
nod... | Python | nomic_cornstack_python_v1 |
function test_counts self test_case_count test_method_count
begin
execute conn update SA Builds whereclause=id == build_id values=dict string method_count test_method_count
end function | def test_counts(self, test_case_count, test_method_count):
self.conn.execute(SA.update(self.Builds,
whereclause=(self.Builds.c.id == self.build_id),
values={
'method_count' : test_method_count,
}
)) | Python | nomic_cornstack_python_v1 |
function strContains s w
begin
return string + w + string in string + s + string
end function | def strContains(s, w):
return (' ' + w + ' ') in (' ' + s + ' ') | Python | nomic_cornstack_python_v1 |
function get_redirect_url self *args route **kwargs
begin
set permanent = permanent
return target
end function | def get_redirect_url(self, *args, route, **kwargs):
self.permanent = route.permanent
return route.target | Python | nomic_cornstack_python_v1 |
string =========================== UKWAC documents are separated by the URLs from which they were retrieved. We don't want these, so remove them here. =========================== Dr. Cai Wingfield --------------------------- Embodied Cognition Lab Department of Psychology University of Lancaster c.wingfield@lancaster.a... | """
===========================
UKWAC documents are separated by the URLs from which they were retrieved.
We don't want these, so remove them here.
===========================
Dr. Cai Wingfield
---------------------------
Embodied Cognition Lab
Department of Psychology
University of Lancaster
c.wingfield@lancaster.ac.... | Python | zaydzuhri_stack_edu_python |
function test_002 self
begin
set page = call Page string files/test.txt
assert equal path string files/test.txt
assert equal text none
assert equal words none
end function | def test_002(self):
page = Page("files/test.txt")
self.assertEqual(page.path, "files/test.txt")
self.assertEqual(page.text, None)
self.assertEqual(page.words, None) | Python | nomic_cornstack_python_v1 |
import re
set s = input
set a = search string ([0-9]{4})/([0-9]{2})/([0-9]{2}) s
if integer call group 2 > 4
begin
print string TBD
end
else
begin
print string Heisei
end | import re
s=input()
a=re.search('([0-9]{4})/([0-9]{2})/([0-9]{2})',s)
if int(a.group(2))>4:
print('TBD')
else:
print('Heisei') | Python | zaydzuhri_stack_edu_python |
function get_tiles tiles_file=none use_cache=true write_cache=true bgs_footprint=none
begin
global _cached_tiles
set log = call get_logger
set config = call Configuration
set tiles_file = tiles_file or call tiles_file
if use_cache and tiles_file in _cached_tiles
begin
set tiles = _cached_tiles at tiles_file
debug forma... | def get_tiles(tiles_file=None, use_cache=True, write_cache=True, bgs_footprint=None):
global _cached_tiles
log = desiutil.log.get_logger()
config = desisurvey.config.Configuration()
tiles_file = tiles_file or config.tiles_file()
if use_cache and tiles_file in _cached_tiles:
tiles = _cached... | Python | nomic_cornstack_python_v1 |
import gensim.models as g
import gensim.utils
import json
import numpy as np
import pickle
class doc_to_vector
begin
function __init__ self reviewfile model
begin
set f = open reviewfile string r
set raw_reviews = load json f
set model = load Doc2Vec model
set labels = list
set reviews = list
set out_vectors = list
... | import gensim.models as g
import gensim.utils
import json
import numpy as np
import pickle
class doc_to_vector:
def __init__(self, reviewfile, model):
f = open(reviewfile, 'r')
self.raw_reviews = json.load(f)
self.model = g.Doc2Vec.load(model)
self.labels = []
self.reviews... | Python | zaydzuhri_stack_edu_python |
function get_conn args
begin
if args == string localhost
begin
set conn = call connect string localhost string root string string song_identifier
end
else
if args == string remote
begin
set conn = call connect host=MYSQL_HOST port=MYSQL_PORT user=MYSQL_USER password=MYSQL_PASSWORD db=MYSQL_DB
end
return list conn call... | def get_conn(args):
if args == 'localhost':
conn = pymysql.connect("localhost", "root", "", "song_identifier")
elif args == 'remote':
conn = pymysql.connect(
host=MYSQL_HOST,
port=MYSQL_PORT,
user=MYSQL_USER,
password=MYSQL_PASSWORD,
d... | Python | nomic_cornstack_python_v1 |
function populate self machobj attributes=none
begin
set items = tuple string module_system string environment_variables string resource_limits string mpirun
set default_run_suffix = call get_child string default_run_suffix root=root
set group_node = call make_child string group dict string id string compliant_values
s... | def populate(self, machobj, attributes=None):
items = ("module_system", "environment_variables", "resource_limits", "mpirun")
default_run_suffix = machobj.get_child("default_run_suffix", root=machobj.root)
group_node = self.make_child("group", {"id": "compliant_values"})
settings = {"ru... | Python | nomic_cornstack_python_v1 |
function change_order nums fun
begin
if length nums == 0
begin
return
end
set p1 = 0
set p2 = length nums - 1
while p1 < p2
begin
if call fun nums at p1
begin
set p1 = p1 + 1
end
else
if call fun nums at p2
begin
set tuple nums at p1 nums at p2 = tuple nums at p2 nums at p1
end
else
begin
set p2 = p2 - 1
end
end
end fu... | def change_order(nums, fun):
if len(nums) == 0:
return
p1 = 0
p2 = len(nums) - 1
while p1 < p2:
if fun(nums[p1]):
p1 += 1
elif fun(nums[p2]):
nums[p1], nums[p2] = nums[p2], nums[p1]
else:
p2 -= 1
def odd_first(num1):
if num1 & 1 =... | Python | zaydzuhri_stack_edu_python |
function tearDown self
begin
comment Flushing leftover SQL to the database at the end of every test catches bugs that manifest themselves only
comment at the database level, such as constraint violations or model attributes with values that cannot be
comment represented in SQL but are perfectly fine in Python. SQLAlche... | def tearDown(self):
# Flushing leftover SQL to the database at the end of every test catches bugs that manifest themselves only
# at the database level, such as constraint violations or model attributes with values that cannot be
# represented in SQL but are perfectly fine in Python. SQLAlchemy... | Python | nomic_cornstack_python_v1 |
function numel self
begin
return numel mask
end function | def numel(self) -> int:
return self.mask.numel() | Python | nomic_cornstack_python_v1 |
function less x y
begin
return x < y
end function | def less(x, y):
return x < y | Python | nomic_cornstack_python_v1 |
function m_time self
begin
return call getmtime self
end function | def m_time(self):
return os.path.getmtime(self) | Python | nomic_cornstack_python_v1 |
function raw_to_relative positions cell_transpose cell_dot_inverse
begin
set relative_positions = matrix multiply matrix multiply positions cell_transpose cell_dot_inverse
return relative_positions
end function | def raw_to_relative(positions: 'ndarray', cell_transpose: 'ndarray',
cell_dot_inverse: 'ndarray')-> 'ndarray':
relative_positions = \
np.matmul(np.matmul(positions, cell_transpose),
cell_dot_inverse)
return relative_positions | Python | nomic_cornstack_python_v1 |
import os
import requests
from os.path import join , isfile
from nerblackbox.modules.datasets.formatter.base_formatter import BaseFormatter
class CoNLL2003Formatter extends BaseFormatter
begin
function __init__ self
begin
set ner_dataset = string conll2003
set ner_tag_list = list string PER string ORG string LOC string... | import os
import requests
from os.path import join, isfile
from nerblackbox.modules.datasets.formatter.base_formatter import BaseFormatter
class CoNLL2003Formatter(BaseFormatter):
def __init__(self):
ner_dataset = "conll2003"
ner_tag_list = ["PER", "ORG", "LOC", "MISC"]
super().__init__(n... | Python | jtatman_500k |
import tornado
function test
begin
set a = list 1 2 3 4 5 6 7 1 2 3
for i in a
begin
if i == 1
begin
yield i
end
if i == 5
begin
yield i
end
end
end function
set m = call test
print type m
for i in m
begin
print i
end | import tornado
def test():
a=[1,2,3,4,5,6,7,1,2,3]
for i in a:
if i ==1:
yield i
if i==5:
yield i
m=test()
print (type(m))
for i in m:
print (i) | Python | zaydzuhri_stack_edu_python |
function get_user_permissions uid **kwargs
begin
string Get the roles for a user. @param user_id
try
begin
call _get_user uid
set user_perms = all
return user_perms
end
except any
begin
raise call HydraError format string Permissions not found for user (user_id={}) uid
end
end function | def get_user_permissions(uid, **kwargs):
"""
Get the roles for a user.
@param user_id
"""
try:
_get_user(uid)
user_perms = db.DBSession.query(Perm).filter(Perm.id==RolePerm.perm_id,
RolePerm.role_id==Role.id,
... | Python | jtatman_500k |
function _ensure_object_absent self endpoint_name name
begin
if nb_object
begin
set diff = call _delete_netbox_object
set result at string msg = string %s %s deleted % tuple endpoint_name name
set result at string changed = true
set result at string diff = diff
end
else
begin
set result at string msg = string %s %s alr... | def _ensure_object_absent(self, endpoint_name, name):
if self.nb_object:
diff = self._delete_netbox_object()
self.result["msg"] = "%s %s deleted" % (endpoint_name, name)
self.result["changed"] = True
self.result["diff"] = diff
else:
self.result... | Python | nomic_cornstack_python_v1 |
function load_annotations_from_file_in_kittimot_format filepath frame_id
begin
with open filepath string r as f
begin
set json_obj = load json f
comment print(json_obj)
set bounding_boxes = json_obj at string bounding_boxes
comment filter out noisy annotations
comment and convert the data to kitti MOTS data format
comm... | def load_annotations_from_file_in_kittimot_format(filepath: str, frame_id: int) -> List[Union[str, int, float]]:
with open(filepath, 'r') as f:
json_obj = json.load(f)
# print(json_obj)
bounding_boxes = json_obj['bounding_boxes']
# filter out noisy annotations
# and ... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
comment -*- coding: utf-8 -*-
comment Thư viện Toán trong Python
import math
function chuvi rad
begin
string Tính chu vi đường tròn
set CV = 2 * pi * rad
return CV
end function
comment Bán kính của đường tròn
set R = list 2 3 4 5 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import math # Thư viện Toán trong Python
def chuvi(rad):
""" Tính chu vi đường tròn """
CV = 2*math.pi*rad
return CV
R = [2, 3, 4, 5] # Bán kính của đường tròn | Python | zaydzuhri_stack_edu_python |
function func s
begin
set s = split s
set rev = list
for idx in range length s - 1 - 1 - 1
begin
append rev s at idx
end
return join string rev
end function
print call func string Hello Miki, Me Mini
print call func string hello world! | def func(s):
s = s.split()
rev = []
for idx in range(len(s)-1, -1, -1):
rev.append(s[idx])
return ' '.join(rev)
print(func('Hello Miki, Me Mini'))
print(func(" hello world! "))
| Python | zaydzuhri_stack_edu_python |
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