code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function referenced_ports self
begin
string Return all Ports referenced by this Compound. Returns ------- list of mb.Compound A list of all ports referenced by the Compound
from mbuild.port import Port
return list comprehension port for port in values labels if is instance port Port
end function | def referenced_ports(self):
"""Return all Ports referenced by this Compound.
Returns
-------
list of mb.Compound
A list of all ports referenced by the Compound
"""
from mbuild.port import Port
return [port for port in self.labels.values()
... | Python | jtatman_500k |
function reachable self
begin
return list callsite + calls
end function | def reachable(self):
return [self.callsite] + self.calls | Python | nomic_cornstack_python_v1 |
function load_pcf instream
begin
set pcf_data = call _read_pcf instream
set glyphs = call _convert_glyphs pcf_data
set props = call _convert_props pcf_data
set font = call Font glyphs keyword props
return call label
end function | def load_pcf(instream):
pcf_data = _read_pcf(instream)
glyphs = _convert_glyphs(pcf_data)
props = _convert_props(pcf_data)
font = Font(glyphs, **props)
return font.label() | Python | nomic_cornstack_python_v1 |
comment 1a. Write a function that takes a string name variable as its only argument and prints hello to
comment the name passed in.
function greet_person name
begin
print string Hello { name }
end function
call greet_person string Tom
call greet_person string Dick
call greet_person string Harry
comment 1b. Write anothe... | #1a. Write a function that takes a string name variable as its only argument and prints hello to
#the name passed in.
def greet_person(name):
print(f'Hello {name}')
greet_person('Tom')
greet_person('Dick')
greet_person('Harry')
#1b. Write another function that takes a single number as an argument and returns Tr... | Python | zaydzuhri_stack_edu_python |
for x in read lines file
begin
set komma = integer find x string ,
set komma1 = komma + 1
append encs x at slice : komma :
append msgs x at slice komma1 : :
end
set enc = input string Welche Nachricht willst du entschlüsseln?
set num = index encs enc
set msg = msgs at num
print msg | for x in file.readlines():
komma = int(x.find(","))
komma1 = komma + 1
encs.append(x[:komma])
msgs.append(x[komma1:])
enc = input("Welche Nachricht willst du entschlüsseln? ")
num = encs.index(enc)
msg = msgs[num]
print(msg)
| Python | zaydzuhri_stack_edu_python |
import numpy as np
from sklearn.svm import SVC
from matplotlib import pyplot as plt
comment x = np.array([[0,0],[0,1],[1,0],[1,1]],dtype=np.float)
comment y = np.array([0,1,1,0],dtype=np.float)
comment plt.scatter(x[:,0],x[:,1])
comment plt.show()
set X = randn 200 2
set X_train = X at tuple slice : 150 : slice : :... | import numpy as np
from sklearn.svm import SVC
from matplotlib import pyplot as plt
# x = np.array([[0,0],[0,1],[1,0],[1,1]],dtype=np.float)
# y = np.array([0,1,1,0],dtype=np.float)
# plt.scatter(x[:,0],x[:,1])
# plt.show()
X = np.random.randn(200,2)
X_train = X[:150,:]
X_test = X[150:,:]
y_train = np.l... | Python | zaydzuhri_stack_edu_python |
function test_phv_test_queries_with_phv_in_string self
begin
set url = call get_url
for query in TEST_PHV_QUERIES
begin
set response = get client url dict string q string phv + query
set returned_pks = call get_autocomplete_view_ids response
set expected_matches = TEST_PHV_QUERIES at query
comment Make sure number of m... | def test_phv_test_queries_with_phv_in_string(self):
url = self.get_url()
for query in TEST_PHV_QUERIES:
response = self.client.get(url, {'q': 'phv' + query})
returned_pks = get_autocomplete_view_ids(response)
expected_matches = TEST_PHV_QUERIES[query]
# Ma... | Python | nomic_cornstack_python_v1 |
function add_parent_success self parent
begin
append success self
end function | def add_parent_success(self, parent):
parent.success.append(self) | Python | nomic_cornstack_python_v1 |
function symDistance args
begin
set tuple pair1 pair2 = args
set tuple seq1 triple1 = pair1
set tuple seq2 triple2 = pair2
set hmm1 = call tripleToHMM triple1
set hmm2 = call tripleToHMM triple2
set s1_m2 = call loglikelihood call toSequence seq1
set s2_m1 = call loglikelihood call toSequence seq2
end function | def symDistance(args):
pair1, pair2 = args
seq1, triple1 = pair1
seq2, triple2 = pair2
hmm1 = tripleToHMM(triple1)
hmm2 = tripleToHMM(triple2)
s1_m2 = hmm2.loglikelihood(toSequence(seq1))
s2_m1 = hmm1.loglikelihood(toSequence(seq2)) | Python | nomic_cornstack_python_v1 |
function convert_dict_to_df res_a res_b platform_a platform_b
begin
set tuple p1_strings p1_counters = list zip *list(res_a.items())
set p1_names = list comprehension string { platform_a } for _ in range length p1_strings
set tuple p2_strings p2_counters = list zip *list(res_b.items())
set p2_names = list comprehension... | def convert_dict_to_df(res_a, res_b, platform_a, platform_b):
p1_strings, p1_counters = list(zip(*list(res_a.items())))
p1_names = [f"{platform_a}"
for _ in range(len(p1_strings))]
p2_strings, p2_counters = list(zip(*list(res_b.items())))
p2_names = [f"{platform_b}"
for _... | Python | nomic_cornstack_python_v1 |
function send_animation self address animation=string simon
begin
call publish address dumps ANIMATIONS at animation
end function | def send_animation(self, address, animation='simon'):
self.publish(address, json.dumps(ANIMATIONS[animation])) | Python | nomic_cornstack_python_v1 |
for n in a
begin
if is digit n
begin
append b n
end
end
print integer join string b | for n in a :
if n.isdigit():
b.append(n)
print(int("".join(b)))
| Python | zaydzuhri_stack_edu_python |
function countCond kata
begin
set cond = false
set cond1 = count kata string h
set cond2 = count kata string a
set cond3 = count kata string c
set cond4 = count kata string k
set cond5 = count kata string e
set cond6 = count kata string r
set cond7 = count kata string t
if cond1 >= 2 and cond2 >= 2 and cond3 >= 2 and c... | def countCond(kata):
cond = False
cond1 = kata.count('h')
cond2 = kata.count('a')
cond3 = kata.count('c')
cond4 = kata.count('k')
cond5 = kata.count('e')
cond6 = kata.count('r')
cond7 = kata.count('t')
if cond1 >= 2 and cond2 >= 2 and cond3 >= 2 and cond4 >= 1 and cond5 >= 1 and cond... | Python | zaydzuhri_stack_edu_python |
for i in reversed range 1 11
begin
print i
end | for i in reversed(range(1,11)):
print(i)
| Python | flytech_python_25k |
comment !/usr/bin/env python
comment coding: utf-8
comment In[1]:
import numpy as np , pandas as pd
from statsmodels.graphics.tsaplots import plot_acf , plot_pacf
import matplotlib.pyplot as plt
import itertools
call use string fivethirtyeight
update rcParams dict string figure.figsize tuple 15 7 ; string figure.dpi 12... | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import numpy as np, pandas as pd
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
import matplotlib.pyplot as plt
import itertools
plt.style.use('fivethirtyeight')
plt.rcParams.update({'figure.figsize':(15,7), 'figure.dpi':120})
# In[3]:
ov = pd.read_cs... | Python | zaydzuhri_stack_edu_python |
function blockify source
begin
set paragraphs = list string
for line in split strip source string
begin
set line = strip line
if line
begin
set paragraphs at - 1 = paragraphs at - 1 + line + string
end
else
if paragraphs at - 1
begin
append paragraphs string
end
end
return paragraphs
end function | def blockify(source):
paragraphs = [""]
for line in source.strip().split("\n"):
line = line.strip()
if line: paragraphs[-1] += line + " "
elif paragraphs[-1]: paragraphs.append("")
return paragraphs | Python | nomic_cornstack_python_v1 |
function preloop self
begin
comment handle any auto-commands for this cmdloop run
comment handle any auto-commands set by the game (ag)
comment auto-commanding when needed
global PLAY_COMMAND_QUEUE
comment do any auto-comments
set cmdqueue = PLAY_COMMAND_QUEUE
comment set any auto-command we want the nex cmploop to run... | def preloop(self):
# handle any auto-commands for this cmdloop run
# handle any auto-commands set by the game (ag)
global PLAY_COMMAND_QUEUE # auto-commanding when needed
self.cmdqueue = PLAY_COMMAND_QUEUE # do any auto-comments
# se... | Python | nomic_cornstack_python_v1 |
function insert_graph graph v1 v2 road_type=none
begin
if v1 not in keys graph
begin
set graph at v1 = list
end
if road_type == none
begin
append graph at v1 v2
end
else
begin
append graph at v1 tuple v2 road_type
end
return graph
end function
function get_edges graph road_type
begin
set qualifiying_edges = list
for ... | def insert_graph(graph, v1, v2, road_type=None):
if v1 not in graph.keys():
graph[v1] = []
if road_type == None:
graph[v1].append(v2)
else:
graph[v1].append((v2,road_type))
return graph
def get_edges(graph, road_type):
qualifiying_edges = []
for vertex, edges in graph.items():
for edge in edges:
if ed... | Python | zaydzuhri_stack_edu_python |
comment MOTOR DE BUSQUEDA
comment Rastreo de sitios a traves de la barra de búsqueda
import requests
from bs4 import BeautifulSoup
class Content
begin
string Clase para contenidos de algun articulo de pagina web
function __init__ self topic url title body
begin
set topic = topic
set title = title
set body = body
set ur... | #MOTOR DE BUSQUEDA
#Rastreo de sitios a traves de la barra de búsqueda
import requests
from bs4 import BeautifulSoup
class Content:
'''
Clase para contenidos de algun articulo de pagina web
'''
def __init__(self, topic, url, title, body):
self.topic = topic
self.title = t... | Python | zaydzuhri_stack_edu_python |
function test_transpose_words_in_list_not_string
begin
assert call transpose_words_in_list list string abc string abcde 12345 is none
end function | def test_transpose_words_in_list_not_string():
assert transpose.transpose_words_in_list(["abc", "abcde", 12345]) is None | Python | nomic_cornstack_python_v1 |
async function difference self ctx query
begin
if not query
begin
set query = string X Y
end
set urlquery = join string + split query
set emb = call green_embed string A lot of 'what is the difference between X and Y' kinds of questions can be answered by typing something like the following into google (click the links... | async def difference(self, ctx, *, query):
if not query:
query = "X Y"
urlquery = '+'.join(query.split())
emb = hf.green_embed(f"A lot of 'what is the difference between X and Y' kinds of questions can be answered "
f"by typing something like the followin... | Python | nomic_cornstack_python_v1 |
function test_poisson self
begin
set nt = 50
set ns = 1000
set num_giter = 5
set net = poisson
set times = list
for i in range ns
begin
set arrv = random sample nt
set obs = call subset lambda a e -> call is_last_in_queue e copy_evt
set gsmp = call gibbs_resample arrv 0 num_giter
set resampled = gsmp at - 1
set evts =... | def test_poisson(self):
nt = 50
ns = 1000
num_giter = 5
net = self.poisson
times = []
for i in range(ns):
arrv = net.sample (nt)
obs = arrv.subset (lambda a,e: a.is_last_in_queue(e), copy_evt)
gsmp = net.gibbs_resample (arrv, 0, num_gi... | Python | nomic_cornstack_python_v1 |
function test_monitoring_application self mock_config
begin
set return_value = none
set plugin = call KubeJobProgress app_id info_plugin collect_period retries
set rds = call MockRedis
set b_v1 = call MockKube app_id
set datasource = call MockInfluxConnector
for i in range 5
begin
call rpush string job string job
end
f... | def test_monitoring_application(self, mock_config):
mock_config.return_value = None
plugin = KubeJobProgress(self.app_id, self.info_plugin,
self.collect_period, self.retries)
plugin.rds = MockRedis()
plugin.b_v1 = MockKube(plugin.app_id)
plugin.d... | Python | nomic_cornstack_python_v1 |
import pygame
import resources.Resources as Resources
from pygame.locals import *
set COLOR_INACTIVE = call Color string lightskyblue3
set COLOR_ACTIVE = call Color string dodgerblue2
class TextBox
begin
function __init__ self x y width height text=string
begin
set x = x
set y = y
set width = width
set height = height
... | import pygame
import resources.Resources as Resources
from pygame.locals import *
COLOR_INACTIVE = pygame.Color("lightskyblue3")
COLOR_ACTIVE = pygame.Color("dodgerblue2")
class TextBox:
def __init__(self, x, y, width, height, text=""):
self.x = x
self.y = y
self.width = width
sel... | Python | zaydzuhri_stack_edu_python |
function clone self
begin
return call QuatSphericalLinearChannel_clone self
end function | def clone(self):
return _osgAnimation.QuatSphericalLinearChannel_clone(self) | Python | nomic_cornstack_python_v1 |
comment You have been given an array A of size N consisting of positive integers.
comment You need to find and print the product of all the number in this array Modulo .
comment Input Format:
comment The first line contains a single integer N denoting the size of the array.
comment The next line contains N space separa... | # You have been given an array A of size N consisting of positive integers.
# You need to find and print the product of all the number in this array Modulo .
# Input Format:
# The first line contains a single integer N denoting the size of the array.
# The next line contains N space separated integers denoting the el... | Python | zaydzuhri_stack_edu_python |
function SetServerInformation self server port
begin
set hostname = server
set port = port
end function | def SetServerInformation(self, server, port):
self.hostname = server
self.port = port | Python | nomic_cornstack_python_v1 |
function Agendamiento eventos
begin
comment Inicializar diccionario
set agenda = dict
comment Ciclo para agregar un nuevo evento
for tuple fEvento hEvento aEvento in eventos
begin
comment Fuerza la entrada
if get agenda fEvento == none
begin
comment Creacion de un nuevo evento
set agenda at fEvento = list
end
comment... | def Agendamiento(eventos: list):
agenda={} #Inicializar diccionario
for fEvento,hEvento,aEvento in eventos: #Ciclo para agregar un nuevo evento
if agenda.get(fEvento) == None: #Fuerza la entrada
agenda[fEvento] = [] #Creacion de un nuevo evento
... | Python | zaydzuhri_stack_edu_python |
function create_logger app
begin
set Logger = call getLoggerClass
class DebugLogger extends Logger
begin
function getEffectiveLevel self
begin
if level == 0 and debug
begin
return DEBUG
end
return call getEffectiveLevel self
end function
end class
class DebugHandler extends StreamHandler
begin
function emit self record... | def create_logger(app):
Logger = getLoggerClass()
class DebugLogger(Logger):
def getEffectiveLevel(self):
if self.level == 0 and app.debug:
return DEBUG
return Logger.getEffectiveLevel(self)
class DebugHandler(StreamHandler):
def emit(self, record):
... | Python | nomic_cornstack_python_v1 |
function bubble_sort arr
begin
comment Always aim for O(nlogn)
set swap_occurred = true
while swap_occurred
begin
set swap_occurred = false
for num in range length arr - 1
begin
if arr at num > arr at num + 1
begin
comment print("Swapping....")
set swap_occurred = true
set tuple arr at num arr at num + 1 = tuple arr at... | def bubble_sort(arr):
# Always aim for O(nlogn)
swap_occurred = True
while swap_occurred:
swap_occurred = False
for num in range(len(arr) - 1):
if arr[num] > arr[num + 1]:
# print("Swapping....")
swap_occurred = True
arr[num],arr[nu... | Python | zaydzuhri_stack_edu_python |
import socket
import time
comment from random import randint
set HOST = string 127.0.0.1
comment HOST = '10.202.104.153'
set listen_PORT = 5678
set send_PORT = 1234
set s = call socket AF_INET SOCK_STREAM
call bind tuple HOST PORT
call listen 5
for i in range 1 11
begin
set tuple conn addr = call accept
print string Co... | import socket
import time
#from random import randint
HOST = '127.0.0.1'
#HOST = '10.202.104.153'
listen_PORT = 5678
send_PORT = 1234
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((HOST, PORT))
s.listen(5)
for i in range(1,11) :
conn, addr = s.accept()
print('Connected... | Python | zaydzuhri_stack_edu_python |
function merge_zip_files feature_branch_content_zip_file_path artifacts_zip_path original_zip_path
begin
rename artifacts_zip_path original_zip_path
set unified_zip = zip file artifacts_zip_path string a ZIP_DEFLATED
with zip file original_zip_path string r as master_zip
begin
set feature_zip = zip file feature_branch_... | def merge_zip_files(feature_branch_content_zip_file_path, artifacts_zip_path, original_zip_path):
os.rename(artifacts_zip_path, original_zip_path)
unified_zip = z.ZipFile(artifacts_zip_path, 'a', z.ZIP_DEFLATED)
with z.ZipFile(original_zip_path, 'r') as master_zip:
feature_zip = z.ZipFile(feature_br... | Python | nomic_cornstack_python_v1 |
import numpy as np
set a = array range 9
print a
set b = a at slice : 5 :
set c = a at slice 5 : :
set d = a at slice 1 : 5 : 2
comment reverse
set e = a at slice 8 : : - 1
print b
print c
print d
print e | import numpy as np
a=np.arange(9)
print(a)
b=a[:5]
c=a[5:]
d=a[1:5:2]
e=a[8::-1]#reverse
print(b)
print(c)
print(d)
print(e) | Python | zaydzuhri_stack_edu_python |
function get_formatted_prop_t ents_dict qid pid i
begin
return call format_t call get_prop_t call get_prop ents_dict=ents_dict qid=qid pid=pid i
end function | def get_formatted_prop_t(ents_dict, qid, pid, i):
return format_t(get_prop_t(get_prop(ents_dict=ents_dict, qid=qid, pid=pid), i)) | Python | nomic_cornstack_python_v1 |
string * You can work both operating system windows and linux below way
import os
import platform
if call system == string Windows
begin
call system string cls
end
else
begin
comment -- Linux like operating system
call system string clear
end | '''
* You can work both operating system windows and linux below way
'''
import os
import platform
if platform.system() == 'Windows':
os.system('cls')
else:
os.system('clear') # -- Linux like operating system
| Python | zaydzuhri_stack_edu_python |
function capability_definition_validator field presentation context capability_value node_obj node_variant
begin
set the_parent_capability_type_name = capability
set the_parent_node_type_name = node
if node_obj
begin
call _is_capability_in_node context node_variant node_obj presentation field capability_value
end
if th... | def capability_definition_validator(field, presentation, context, capability_value, node_obj,
node_variant):
the_parent_capability_type_name = _get_requirement_in_type(context, presentation).\
capability
the_parent_node_type_name ... | Python | nomic_cornstack_python_v1 |
function breakingRecords scores
begin
set min = scores at 0
set max = scores at 0
set tuple lose gain = tuple 0 0
for i in range 1 length scores
begin
if scores at i < min
begin
set lose = lose + 1
set min = scores at i
end
else
if scores at i > max
begin
set gain = gain + 1
set max = scores at i
end
end
print gain los... | def breakingRecords(scores):
min = scores[0]
max = scores[0]
lose, gain=0,0
for i in range(1, len(scores)):
if scores[i]<min:
lose+=1
min=scores[i]
elif scores[i]>max:
gain+=1
max=scores[i]
print (gain, lose)
breakingRecords... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment import comand line related libraries
import sys , getopt
comment helper functions | #!/usr/bin/python
# import comand line related libraries
import sys, getopt
#helper functions
| Python | zaydzuhri_stack_edu_python |
function Even_Fibonacci_numbers max_limit
begin
set temp = 0
set total = 0
set num1 = 0
set num2 = 1
while temp < max_limit
begin
set temp = num1 + num2
set num1 = num2
set num2 = temp
if temp % 2 == 0
begin
set total = total + temp
end
end
return total
end function
call Even_Fibonacci_numbers 4000000 | def Even_Fibonacci_numbers(max_limit):
temp = 0
total = 0
num1 = 0
num2 = 1
while temp < max_limit:
temp = num1 + num2
num1 = num2
num2 = temp
if temp%2 == 0:
total+=temp
return total
Even_Fibonacci_numbers(4000000)
| Python | zaydzuhri_stack_edu_python |
function __init__ self
begin
call __init__ self
call __init__ self
set _adsense = call Adsense
set _event = event
set _username = none
set _password = none
set _autoupdate = false
set _updaterate = 0.0
set _quit = false
set _login_valid = false
call set_status STATUS_NO
end function | def __init__(self):
threading.Thread.__init__(self)
gobject.GObject.__init__(self)
self._adsense = Adsense.Adsense()
self._event = threading.Event()
self._username = None
self._password = None
self._autoupdate = False
self._updaterate = 0.0
self._q... | Python | nomic_cornstack_python_v1 |
import pandas as pd
function mean_rolling_window df attr_name winsize=2 extended=true
begin
string For each row (and for each sku) compute the MEAN of n previous rows (extended -> all previous rows) @param df: @param attr_name: name of the column to take into account @param winsize: with extended keep it always 2 @para... | import pandas as pd
def mean_rolling_window(df, attr_name: str, winsize=2, extended=True) -> pd.DataFrame:
"""
For each row (and for each sku) compute the MEAN of n previous rows (extended -> all previous rows)
@param df:
@param attr_name: name of the column to take into account
@param winsize: wi... | Python | zaydzuhri_stack_edu_python |
function add config args
begin
if args == list
begin
call help
return
end
set tuple amount context date = tuple 0 string string
for arg in args
begin
if match string ^[0-9]*([\.,][0-9]{0,2}){0,1}$ arg and not amount
begin
set amount = decimal replace arg string , string .
end
else
if starts with arg string @ and len... | def add(config, args):
if args == []:
help()
return
amount, context, date = 0, "", ""
for arg in args:
if re.match("^[0-9]*([\.,][0-9]{0,2}){0,1}$", arg) and not amount:
amount = float(arg.replace(',', '.'))
elif arg.startswith("@") and (len(arg) > 1):
context = ','.join([context, arg[1:]])
elif not ... | Python | nomic_cornstack_python_v1 |
comment case 1
set a = string Hello
set b = string World
set c = a + b
print c
comment case 2
set a = string Hello
set b = string World
set c = a + string + b
print c | #case 1
a = "Hello"
b = "World"
c = a+b
print(c)
#case 2
a = "Hello"
b = "World"
c = a+" "+b
print(c) | Python | zaydzuhri_stack_edu_python |
function test_mosaic_segmentation_model self input_size pyramid_pool_bin_nums decoder_input_levels decoder_stage_merge_styles
begin
set num_classes = 32
call set_image_data_format string channels_last
set backbone = call MobileNet model_id=string MobileNetMultiAVGSeg
set encoder_input_level = 4
comment Create a regular... | def test_mosaic_segmentation_model(self, input_size, pyramid_pool_bin_nums,
decoder_input_levels,
decoder_stage_merge_styles):
num_classes = 32
tf.keras.backend.set_image_data_format('channels_last')
backbone = backbones.MobileNet(mod... | Python | nomic_cornstack_python_v1 |
set n = integer input
set arr = list 0 0 0
set arr at 0 = integer input
set arr at 1 = integer input
set arr at 2 = n - sum arr
print max arr | n = int(input())
arr = [0, 0, 0]
arr[0] = int(input())
arr[1] = int(input())
arr[2] = n - sum(arr)
print(max(arr))
| Python | zaydzuhri_stack_edu_python |
from relation_app.ext import db
comment "一方"
class School extends Model
begin
set __tablename__ = string schools
set id = call Column Integer primary_key=true autoincrement=true
set name = call Column call String 20 nullable=false
set address = call Column call String 50
comment 关联学生模型，并设置反向引用名称
set students = call rel... | from relation_app.ext import db
class School(db.Model): # "一方"
__tablename__ = "schools"
id = db.Column(db.Integer,primary_key=True,autoincrement=True)
name = db.Column(db.String(20),nullable=False)
address = db.Column(db.String(50))
students = db.relationship("Student",backref="sch") # 关联学生模型，并... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment coding=utf-8
comment title : uni_cgi.py
comment description : unicode cgi
comment author : JackieTsui
comment organization : pytoday.org
comment date : 2018/9/14 22:18
comment email : jackietsui72@gmail.com
comment notes :
comment ==================================================
... | #!/usr/bin/env python3
# coding=utf-8
# title : uni_cgi.py
# description : unicode cgi
# author : JackieTsui
# organization : pytoday.org
# date : 2018/9/14 22:18
# email : jackietsui72@gmail.com
# notes :
# ==================================================
# Import t... | Python | zaydzuhri_stack_edu_python |
import signal
import serial
import time , wave
import sys
import glob
import math
import numpy
import pyaudio
from random import randint
import atexit
set baudrate = 115200
set timeout = 0
set testResponse = string A
set waitIterations = 5
set duration = 0.06
set freq = 450
set samplingRate = 44100
function serial_port... | import signal
import serial
import time, wave
import sys
import glob
import math
import numpy
import pyaudio
from random import randint
import atexit
baudrate=115200
timeout=0
testResponse='A'
waitIterations=5
duration=0.06
freq=450
samplingRate=44100
def serial_ports():
foundPort=False
""" Lists serial port ... | Python | zaydzuhri_stack_edu_python |
import os
import json
import logging
import argparse
import numpy as np
import regressor as reg
import keras.backend as K
function absolute_sum_error y_true y_pred
begin
return mean K absolute y_true - y_pred
end function
if __name__ == string __main__
begin
set parser = call ArgumentParser description=string Script to... | import os
import json
import logging
import argparse
import numpy as np
import regressor as reg
import keras.backend as K
def absolute_sum_error(y_true, y_pred):
return K.mean(K.abs(y_true - y_pred))
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Script to train the sasa models fro... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import cv2
comment 각자의 도형을 그리는 함수가 있음. 함수마다 약간의 옵션이 다름.
comment 직선 그리기
comment cv2.line(img, pt1, pt2, color, thickness, lineType, shift, ...)
comment img : 그릴 영상(캔버스, 도화지)
comment pt1, pt2 : 선의 시작점, 끝점(튜플)
comment color : 색상, thickness: 선의 두께(기본값 1)
comment lineType : 선타입(cv2.LINE_4, cv2.LINE_8(기본값)... | import numpy as np
import cv2
# 각자의 도형을 그리는 함수가 있음. 함수마다 약간의 옵션이 다름.
### 직선 그리기
# cv2.line(img, pt1, pt2, color, thickness, lineType, shift, ...)
# img : 그릴 영상(캔버스, 도화지)
# pt1, pt2 : 선의 시작점, 끝점(튜플)
# color : 색상, thickness: 선의 두께(기본값 1)
# lineType : 선타입(cv2.LINE_4, cv2.LINE_8(기본값), cv2.LINE_AA(주로 많이 씀. 안티앨리어... | Python | zaydzuhri_stack_edu_python |
function saveGame self state fileName
begin
try
begin
set file at fileName = state
end
except any
begin
print string No file specified, please load file first.
end
end function | def saveGame(self, state, fileName):
try:
self.file[fileName] = state
except:
print('No file specified, please load file first.') | Python | nomic_cornstack_python_v1 |
import pandas as pd
import pdb
from FitnessEstimator import FitnessEstimator
from VariantQuartiles import load_variant_quartiles
from load_data import create_gene_df_stratified
from load_data import get_coverage_filter
function load_df strat_df_file
begin
set mut_rates_path = string input_data/mutation_probabilities.xl... | import pandas as pd
import pdb
from FitnessEstimator import FitnessEstimator
from VariantQuartiles import load_variant_quartiles
from load_data import create_gene_df_stratified
from load_data import get_coverage_filter
def load_df(strat_df_file):
mut_rates_path = 'input_data/mutation_probabilities.xls'
mutati... | Python | zaydzuhri_stack_edu_python |
function setWarningLogFile self fname=none
begin
if file
begin
comment May raise an exception (for user to deal with)
set warnfd = open fname string a
end
else
begin
set warnfd = stdout
end
end function | def setWarningLogFile(self, fname = None):
if(file):
# May raise an exception (for user to deal with)
self.warnfd = open(fname, 'a')
else:
self.warnfd = stdout | Python | nomic_cornstack_python_v1 |
function amIcut self
begin
if call contains myCell
begin
set myStringCode = string 1
return false
end
else
if call intersects Domain
begin
set myStringCode = string 2
return true
end
else
begin
set myStringCode = string 0
return false
end
end function | def amIcut(self):
if self.Domain.contains(self.myCell):
self.myStringCode = '1'
return False
elif self.myCell.intersects(self.Domain):
self.myStringCode = '2'
return True
else:
self.myStringCode... | Python | nomic_cornstack_python_v1 |
from keras.models import Model
from keras.layers import Conv1D , LSTM , BatchNormalization , Flatten , Dense , Activation , Input , concatenate
from keras.models import Sequential
from keras.layers.wrappers import Bidirectional
from keras.optimizers import Nadam
from clr_callback import CyclicLR
import keras.backend as... | from keras.models import Model
from keras.layers import (Conv1D, LSTM, BatchNormalization, Flatten, Dense, Activation,
Input, concatenate)
from keras.models import Sequential
from keras.layers.wrappers import Bidirectional
from keras.optimizers import Nadam
from clr_callback import CyclicLR
i... | Python | zaydzuhri_stack_edu_python |
import pytest
from fixtures.store_item.model import Item
from fixtures.store_item.model import ItemResponse
class TestStoreItem
begin
decorator positive
function test_change_item self app item
begin
string Steps. 1. Register new user 2. Access to store with valid data 3. Add user info 4. Add store 5. Add item 6. Try to... | import pytest
from fixtures.store_item.model import Item
from fixtures.store_item.model import ItemResponse
class TestStoreItem:
@pytest.mark.positive
def test_change_item(self, app, item):
"""
Steps.
1. Register new user
2. Access to store with valid data
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
import os
import argparse
comment this function copy files unless it got argument move as True, then
comment instead of copying the file it moving the file | #!/usr/bin/python
import os
import argparse
# this function copy files unless it got argument move as True, then
# instead of copying the file it moving the file | Python | zaydzuhri_stack_edu_python |
from pydub import AudioSegment
from scipy.io.wavfile import read as read_wav
import shutil
import tempfile
class MP3Reader
begin
function __init__ self
begin
set TMP_DIR = make dir temp
set EXPORT_PATH = TMP_DIR + string /export.wav
end function
function __del__ self
begin
string Removes the temporary directory before ... | from pydub import AudioSegment
from scipy.io.wavfile import read as read_wav
import shutil
import tempfile
class MP3Reader:
def __init__(self):
self.TMP_DIR = tempfile.mkdtemp()
self.EXPORT_PATH = self.TMP_DIR + '/export.wav'
def __del__(self):
"""Removes the temporary directory befor... | Python | zaydzuhri_stack_edu_python |
import sys
set s = argv at 1
set prefix = argv at 2 | import sys
s = sys.argv[1]
prefix = sys.argv[2]
| Python | zaydzuhri_stack_edu_python |
import markup
import os
import pytest
import tempfile
import re
function test_tokenize_symbols
begin
set output = call terminal 0
set text = string _`*+-#<>
set tokens = call tokenize text string string output at 0
assert call __str__ == string <type: UNDERSCORE, value: SYM><type: GRAVE, value: SYM><type: STAR, value... | import markup
import os
import pytest
import tempfile
import re
def test_tokenize_symbols():
output = markup.terminal.terminal(0)
text = "_`*+-#<>\t\n"
tokens = markup.tokenize.tokenize(text, "", "", output)[0]
assert tokens.__str__() == '<type: UNDERSCORE, value: SYM><type: GRAVE, value: S... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
function maximumGap self A
begin
set maxRightNumbers = list
set minLeftNumbers = list
for elem in A
begin
if not minLeftNumbers or elem < minLeftNumbers at - 1
begin
append minLeftNumbers elem
end
else
begin
append minLeftNumbers minLeftNumbers at - 1
end
end
for elem in reversed A
begin
if not m... | class Solution:
def maximumGap(self, A):
maxRightNumbers = []
minLeftNumbers = []
for elem in A:
if not minLeftNumbers or elem<minLeftNumbers[-1]:
minLeftNumbers.append(elem)
else:
minLeftNumbers.append(minLeftNumbers[-1])
for elem in reversed(A):
if not maxRightNumbers or elem>maxRightNumb... | Python | zaydzuhri_stack_edu_python |
function is_prime n
begin
string This function checks if a number is prime or not. It does this by checking if the number is divisible by any number up to its square root. If it is, it's not a prime number. If it isn't, it is a prime number.
if n == 1
begin
return false
end
else
if n == 2
begin
return true
end
else
beg... | def is_prime(n):
"""
This function checks if a number is prime or not.
It does this by checking if the number is divisible by any number up to its square root.
If it is, it's not a prime number. If it isn't, it is a prime number.
"""
if n == 1:
return False
elif n == 2:
retur... | Python | jtatman_500k |
import sys
function reducer
begin
set airports = 0
set oldKey = none
set max_total = 0
for line in stdin
begin
set value_data = split strip line string
if length value_data != 2
begin
continue
end
set tuple thisKey c = value_data
if oldKey and oldKey != thisKey
begin
if airports > max_total
begin
set max_region = oldKe... | import sys
def reducer():
airports=0
oldKey=None
max_total=0
for line in sys.stdin:
value_data=line.strip().split(" ")
if(len(value_data)!=2):
continue
thisKey, c = value_data
if oldKey and oldKey!=thisKey:
if(airports>max_total):
... | Python | zaydzuhri_stack_edu_python |
function uadapterplot adapter_content adapter_names=none outfile=none inline=false height=40 bar_width=10 spacing=2 multi_bar=false
begin
comment Width of plot required for each bar
set width = bar_width + spacing * 2
comment Colours for each adapter
set fg_colors = tuple string red string blue string green string blac... | def uadapterplot(adapter_content,adapter_names=None,outfile=None,
inline=False,height=40,bar_width=10,spacing=2,
multi_bar=False):
# Width of plot required for each bar
width = bar_width + spacing*2
# Colours for each adapter
fg_colors = ('red','blue','green','black')
... | Python | nomic_cornstack_python_v1 |
string This is an interactive widget program to convert Miles to kms.
comment Importing the necessary libraries and modules
import tkinter as tk
from tkinter.constants import END
function miles_to_km
begin
set miles = decimal get miles_input
set km = miles * 1.609
call config text=string { km }
end function
comment Cre... | """ This is an interactive widget program to convert Miles to kms."""
# Importing the necessary libraries and modules
import tkinter as tk
from tkinter.constants import END
def miles_to_km():
miles = float(miles_input.get())
km = miles * 1.609
km_result_label.config(text = f"{km}")
#Creating a new windo... | Python | zaydzuhri_stack_edu_python |
from Textures import *
class Player
begin
function __init__ self position
begin
comment x position of a player
set x_pos = position at 0
comment y position of a player
set y_pos = position at 1
comment flags the desire of a player to move left
set move_left = false
comment flags the desire of a player to move right
set... | from Textures import *
class Player:
def __init__(self, position):
self.x_pos = position[0] # x position of a player
self.y_pos = position[1] # y position of a player
self.move_left = False # flags the desire of a player to move left
self.move_right = False # flags the desire o... | Python | zaydzuhri_stack_edu_python |
function range_freq_of_linear L R a b mod lo hi
begin
if lo >= hi
begin
return 0
end
assert 0 <= lo and lo < hi and hi <= mod
set x1 = call floor_sum_of_linear L R a b - lo mod
set x2 = call floor_sum_of_linear L R a b - hi mod
return x1 - x2
end function | def range_freq_of_linear(L: int, R: int, a: int, b: int, mod: int, lo: int, hi: int) -> int:
if lo >= hi:
return 0
assert 0 <= lo and lo < hi and hi <= mod
x1 = floor_sum_of_linear(L, R, a, b - lo, mod)
x2 = floor_sum_of_linear(L, R, a, b - hi, mod)
return x1 - x2 | Python | nomic_cornstack_python_v1 |
function tobs
begin
comment Create our session (link) from Python to the DB
set session = call Session engine
comment Initializing an empty dict to hold the precipitation data for each date
comment in list_of_dates_in_a_year
set tobs_dict = dict
comment Initializing an index value for use in the following for-loop
set... | def tobs():
# Create our session (link) from Python to the DB
session = Session(engine)
# Initializing an empty dict to hold the precipitation data for each date
# in list_of_dates_in_a_year
tobs_dict = {}
# Initializing an index value for use in the following for-loop
ind = 0
# Using a ... | Python | nomic_cornstack_python_v1 |
comment coins.py
comment coin image from clipartlord.com
import pygame
from pygame.locals import *
from pygamegame import *
class Coins extends Sprite
begin
function __init__ self x y
begin
set x = x
set y = y
set surf = load image string modules/coin.png
set rect = call get_rect
end function
end class | #coins.py
# coin image from clipartlord.com
import pygame
from pygame.locals import *
from pygamegame import *
class Coins(pygame.sprite.Sprite):
def __init__(self, x, y):
self.x = x
self.y = y
self.surf = pygame.image.load('modules/coin.png')
rect = self.surf.get_rect()
| Python | zaydzuhri_stack_edu_python |
string Common functions for drive_train.py and drive_test.py
from dltoolkit.iomisc import HDF5Reader
from dltoolkit.utils.image import rgb_to_gray , normalise , clahe_equalization , adjust_gamma
import numpy as np
from PIL import Image
function crop_image imgs img_height img_width
begin
string Cut off the top and botto... | """Common functions for drive_train.py and drive_test.py"""
from dltoolkit.iomisc import HDF5Reader
from dltoolkit.utils.image import rgb_to_gray, normalise, clahe_equalization, adjust_gamma
import numpy as np
from PIL import Image
def crop_image(imgs, img_height, img_width):
"""Cut off the top and bottom pixel ... | Python | zaydzuhri_stack_edu_python |
import shutil
import os
import re
from urllib.request import urlopen
from urllib.parse import urlsplit , urlunsplit , quote
function get_filename url
begin
return call safe_characters split url string / at - 1
end function
function encode_uri uri
begin
set chunks = list call urlsplit uri
set chunks at 2 = quote chunks ... | import shutil
import os
import re
from urllib.request import urlopen
from urllib.parse import urlsplit, urlunsplit, quote
def get_filename(url):
return safe_characters(url.split('/')[-1])
def encode_uri(uri):
chunks = list(urlsplit(uri))
chunks[2] = quote(chunks[2])
uri = urlunsplit(chunks)
retu... | Python | zaydzuhri_stack_edu_python |
function setVY self v_xyz
begin
set v_xyz = call normalize3 v_xyz
set self at tuple 0 1 = v_xyz at 0
set self at tuple 1 1 = v_xyz at 1
set self at tuple 2 1 = v_xyz at 2
return self
end function | def setVY(self, v_xyz):
v_xyz = normalize3(v_xyz)
self[0, 1] = v_xyz[0]
self[1, 1] = v_xyz[1]
self[2, 1] = v_xyz[2]
return self | Python | nomic_cornstack_python_v1 |
import torch.optim as optim
comment Specifying learning rate and momentum
set optimizer = sgd parameters model lr=0.01 momentum=0.9
comment Let me examine if everything is fine # 1. Specified learning rate and momentum for the optimizer # Executing code. | import torch.optim as optim
# Specifying learning rate and momentum
optimizer = optim.SGD(model.parameters(), lr=0.01, momentum=0.9)
# Let me examine if everything is fine # 1. Specified learning rate and momentum for the optimizer # Executing code.
| Python | flytech_python_25k |
comment num=int(input("enter the num"))
comment sum=0
comment b=num
comment while num>0:
comment rem=num%10
comment var=rem**3
comment sum=sum+var
comment num=num//10
comment print(sum)
comment if sum==b:
comment print(sum,"it is armstron num")
comment else:
comment print(sum, "it is not armstrong num")
set num = integ... | # num=int(input("enter the num"))
# sum=0
# b=num
# while num>0:
# rem=num%10
# var=rem**3
# sum=sum+var
# num=num//10
# print(sum)
# if sum==b:
# print(sum,"it is armstron num")
# else:
# print(sum, "it is not armstrong num")
num=int(input("enter the num="))
i=0
sum=0
b=num
while i<num:
re... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import scipy
import matplotlib.pyplot as pp
from pylab import *
comment Abrimos el archivo que contiene los datos (dos columnas que corresponden a X y a Y)
with open string tabla.dat string r as data
begin
set x = list
set y = list
for line in data
begin
set p = split line
append x decimal p at 0
a... | import numpy as np
import scipy
import matplotlib.pyplot as pp
from pylab import *
#Abrimos el archivo que contiene los datos (dos columnas que corresponden a X y a Y)
with open('tabla.dat','r') as data:
x=[]
y=[]
for line in data:
p = line.split()
x.append(float(p[0]))
... | Python | zaydzuhri_stack_edu_python |
string Example to show implementation of Sobel thresholds
import os
import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
function mag_sobel img sobel_kernel=3 thresh=tuple 190 255
begin
set gray = call cvtColor img COLOR_RGB2GRAY
call imwrite string gray_test.jpg gray
set tuple... | '''
Example to show implementation of Sobel thresholds
'''
import os
import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
def mag_sobel(img, sobel_kernel=3, thresh = (190,255)):
gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
cv2.imwrite('gray_test.jpg', gray)
... | Python | zaydzuhri_stack_edu_python |
if age >= 18 and passport == string ja
begin
print string Gefeliciteerd, je mag stemmen!
end | if age >= 18 and passport == 'ja':
print('Gefeliciteerd, je mag stemmen!')
| Python | zaydzuhri_stack_edu_python |
function form_invalid self form instrumento_linea_form
begin
return call render_to_response call get_context_data form=form instrumento_linea_form=instrumento_linea_form
end function | def form_invalid(self, form, instrumento_linea_form):
return self.render_to_response(
self.get_context_data(form=form,
instrumento_linea_form=instrumento_linea_form)) | Python | nomic_cornstack_python_v1 |
import sys
append path string src
from euler_estimator import *
import matplotlib.pyplot as plt
set rates = dict string deer lambda t x -> 0.6 * x at string deer - 0.05 * x at string deer * x at string wolves ; string wolves lambda t x -> 0.02 * x at string deer * x at string wolves - 0.9 * x at string wolves
set model... | import sys
sys.path.append('src')
from euler_estimator import *
import matplotlib.pyplot as plt
rates = {
'deer': (lambda t,x: (0.6*x['deer']) - (0.05*x['deer']*x['wolves'])),
'wolves': (lambda t,x: (0.02*x['deer']*x['wolves']) - (0.9*x['wolves']))}
model = EulerEstimator(rates)
initial_vals = {'deer': 100, 'w... | Python | zaydzuhri_stack_edu_python |
import asyncio
import time
set now = lambda -> time
async function dosomething num
begin
print format string 第 {} 任務，第一步 num
await sleep 2
print format string 第 {} 任務，第二步 num
return format string 第 {} 任務完成 num
end function
async function raise_error num
begin
raise ValueError
print string will not print
end function
a... | import asyncio
import time
now = lambda: time.time()
async def dosomething(num):
print('第 {} 任務，第一步'.format(num))
await asyncio.sleep(2)
print('第 {} 任務，第二步'.format(num))
return '第 {} 任務完成'.format(num)
async def raise_error(num):
raise ValueError
print('will not print')
async def BMI_cal():
... | Python | zaydzuhri_stack_edu_python |
function _add_bin_lib_python env package_group_dir include_python=true
begin
call _append_to_path env string PATH join path package_group_dir string bin
call _append_to_path env string LD_LIBRARY_PATH join path package_group_dir string lib
if include_python
begin
call _append_to_path env string PYTHONPATH join path pac... | def _add_bin_lib_python(env, package_group_dir, include_python=True):
_append_to_path(env, "PATH", os.path.join(package_group_dir, 'bin'))
_append_to_path(env, 'LD_LIBRARY_PATH',
os.path.join(package_group_dir, 'lib'))
if include_python:
_append_to_path(env, 'PYTHONPATH',
... | Python | nomic_cornstack_python_v1 |
function eta self
begin
comment Make a list for the output
set h = list 0 * _len_h
if _is_ts
begin
comment Loop over channels
for i in range _len_h
begin
set data = data at i
set u = unique events at i
set event_types = u at unique events at i != 0
set h at i = call empty tuple shape at 0 len_et dtype=complex
comment T... | def eta(self):
#Make a list for the output
h = [0] * self._len_h
if self._is_ts:
# Loop over channels
for i in range(self._len_h):
data = self.data[i]
u = np.unique(self.events[i])
event_types = u[np.unique(self.ev... | Python | nomic_cornstack_python_v1 |
function test_analyze_with_PM self
begin
set seq = string ATGTCGTTCTGCAGCTTCTTCGGGGGCGAGGTTTTCCAGAATCACTTTGAACCT
set stdseq = string ATGTCGTTCTGCAGCTTCTTCGGGGGCGAGGTTTTCCAGAATCACTTTGAAACT
set status = call analyze seq stdseq
assert equal status call PM nt_pm=1 aa_pm=1 stdseq=stdseq
assert equal seq seq
assert equal std... | def test_analyze_with_PM(self):
seq = 'ATGTCGTTCTGCAGCTTCTTCGGGGGCGAGGTTTTCCAGAATCACTTTGAACCT'
stdseq = 'ATGTCGTTCTGCAGCTTCTTCGGGGGCGAGGTTTTCCAGAATCACTTTGAAACT'
status = analyze(seq, stdseq)
self.assertEqual(status, PM(nt_pm=1, aa_pm=1, stdseq=stdseq))
self.assertEqual(status.s... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Tue Mar 5 12:12:19 2019 @author: Lenovo
set xa = input string podaj x punktu a:
print xa
set ya = input string podaj y punktu a:
print ya
set xb = input string podaj x punktu b:
print xb
set yb = input string podaj y punktu b:
print yb
set xp = input string podaj x punktu... | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 5 12:12:19 2019
@author: Lenovo
"""
xa=input('podaj x punktu a:')
print(xa)
ya=input('podaj y punktu a:')
print(ya)
xb=input('podaj x punktu b:')
print(xb)
yb=input('podaj y punktu b:')
print(yb)
xp=input('podaj x punktu p:')
print(xp)
yp=input('podaj y... | Python | zaydzuhri_stack_edu_python |
function count_unique hashable_objects
begin
comment len(set(hashable_objects))
return call nunique
end function | def count_unique(hashable_objects: pd.Series) -> int:
return hashable_objects.nunique() #len(set(hashable_objects)) | Python | nomic_cornstack_python_v1 |
function schedule_next_task self cursor timestamp
begin
call add_task_for_repo repo call task_name ACTION cursor=cursor timestamp=string call timegm call utctimetuple
end function | def schedule_next_task(self, cursor, timestamp):
self.add_task_for_repo(
self.repo,
self.task_name(),
self.ACTION,
cursor=cursor,
timestamp=str(calendar.timegm(timestamp.utctimetuple()))) | Python | nomic_cornstack_python_v1 |
function setup_class cls
begin
set connection_config = call ConnectionConfig name=string connection_name author=string author version=string 0.1.0 connections=set literal old_connection_id protocols=set literal old_protocol_id restricted_to_protocols=set literal old_protocol_id excluded_protocols=set literal old_protoc... | def setup_class(cls):
cls.connection_config = ConnectionConfig(
name="connection_name",
author="author",
version="0.1.0",
connections={cls.old_connection_id},
protocols={cls.old_protocol_id},
restricted_to_protocols={cls.old_protocol_id},
... | Python | nomic_cornstack_python_v1 |
function vert p1 p2
begin
set vx = p2 at 0 - p1 at 0
set vy = p2 at 1 - p1 at 1
set vz = p2 at 2 - p1 at 2
return list vx vy vz
end function | def vert (p1, p2):
vx = p2[0]-p1[0]
vy = p2[1]-p1[1]
vz = p2[2]-p1[2]
return [vx, vy, vz] | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding : utf-8
import os
import smtplib
import string
import sys
from email import Encoders
from email.mime.text import MIMEText
from email.MIMEBase import MIMEBase
from email.MIMEMultipart import MIMEMultipart
from email.Utils import formatdate
comment -----------------------------... | #!/usr/bin/env python
##### coding : utf-8
import os
import smtplib
import string
import sys
from email import Encoders
from email.mime.text import MIMEText
from email.MIMEBase import MIMEBase
from email.MIMEMultipart import MIMEMultipart
from email.Utils import formatdate
#-------------------------------------------... | Python | zaydzuhri_stack_edu_python |
function set_target_raid_config self node_ident target_raid_config os_ironic_api_version=none global_request_id=none
begin
set path = string %s/states/raid % node_ident
return update self path target_raid_config http_method=string PUT os_ironic_api_version=os_ironic_api_version global_request_id=global_request_id
end f... | def set_target_raid_config(
self, node_ident, target_raid_config,
os_ironic_api_version=None, global_request_id=None):
path = "%s/states/raid" % node_ident
return self.update(path, target_raid_config, http_method='PUT',
os_ironic_api_version=os_ironic_a... | Python | nomic_cornstack_python_v1 |
from layer import *
import tensorflow as tf
import numpy as np
from utils import *
from math import exp
class VAEGCell extends object
begin
string Variational Auto Encoder cell.
function __init__ self adj features z_dim
begin
string Args: adj : adjacency matrix features: feature matrix
set adj = adj
set features = feat... | from layer import *
import tensorflow as tf
import numpy as np
from utils import *
from math import exp
class VAEGCell(object):
"""Variational Auto Encoder cell."""
def __init__(self, adj, features, z_dim):
'''
Args:
adj : adjacency matrix
features: feature matrix
'''
self.a... | Python | zaydzuhri_stack_edu_python |
function parse_san self board san
begin
return call parse_san san
end function | def parse_san(self, board: chess.Board, san: str) -> chess.Move:
return board.parse_san(san) | Python | nomic_cornstack_python_v1 |
function __init__ self opts
begin
call __init__ opts
set options = get opts string fn_cb_protection dict
end function | def __init__(self, opts):
super(FunctionComponent, self).__init__(opts)
self.options = opts.get("fn_cb_protection", {}) | Python | nomic_cornstack_python_v1 |
from sense_hat import SenseHat
set sense = call SenseHat
comment Define Colours
comment Green
set g = tuple 0 255 0
comment Black
set b = tuple 0 0 0
comment setup where each colour will display
set image_pixel = list g g g g g g g g g g g g g g g g g b b g g b b g g b b g g b b g g g g b b g g g g g b b b b g g g g b ... | from sense_hat import SenseHat
sense = SenseHat()
# Define Colours
g = (0,255,0) # Green
b = (0,0,0) # Black
# setup where each colour will display
image_pixel = [
g,g,g,g,g,g,g,g,
g,g,g,g,g,g,g,g,
g,b,b,g,g,b,b,g,
g,b,b,g,g,b,b,g,
g,g,g,b,b,g,g,g,
g,g,b,b,b,b,g,g,
g,g,b,b,b,b,g,g,
g,... | Python | zaydzuhri_stack_edu_python |
comment Serena Chen
comment alice2bob
from rsa import RSA
set maxPW = 99999
function Alice2Bob newpassword
begin
if 0 > newpassword or newpassword > maxPW
begin
raise call ValueError format string Password must be between 0 and {} maxPW
end
set rsa = call RSA
call from_message_bit_length call bit_length
comment rsa.fro... | #Serena Chen
#alice2bob
from rsa import RSA
maxPW = 99999
def Alice2Bob(newpassword):
if 0 > newpassword or newpassword > maxPW:
raise ValueError("Password must be between 0 and {}".format(maxPW))
rsa = RSA()
rsa.from_message_bit_length(maxPW.bit_length())
#rsa.from_given_pqe(61,53,17... | Python | zaydzuhri_stack_edu_python |
function compute_q_bounce_path_euler domain q epsilon
begin
set cur_point = list comprehension call inv_lazutkin_param_non_arc domain call fdiv i q for i in range q // 2 + 1
set cur_point at - 1 = if expression q % 2 == 0 then 1 / 2 else cur_point at - 1
set grad = list comprehension call length_gradient domain i cur_p... | def compute_q_bounce_path_euler(domain, q, epsilon):
cur_point = [inv_lazutkin_param_non_arc(domain, fdiv(i, q))
for i in range(q // 2 + 1)]
cur_point[-1] = 1 / 2 if (q % 2 == 0) else cur_point[-1]
grad = [length_gradient(domain, i, cur_point) for i in range(len(cur_point))]
grad_sup_n... | Python | nomic_cornstack_python_v1 |
function test_category_name_field_max_length self
begin
set cat = get objects id=1
set max_length = max_length
assert equal max_length 20
end function | def test_category_name_field_max_length(self):
cat = Category.objects.get(id=1)
max_length = cat._meta.get_field('name').max_length
self.assertEqual(max_length, 20) | Python | nomic_cornstack_python_v1 |
class Animal extends object
begin
function __init__ self
begin
print string Animal Class Defined
end function
function whoAmI self
begin
print string Animal
end function
function eating self
begin
print string Eating
end function
end class
class Dog extends Animal
begin
function __init__ self
begin
call __init__ self
p... | class Animal(object):
def __init__(self):
print("Animal Class Defined")
def whoAmI(self):
print("Animal")
def eating(self):
print("Eating")
class Dog(Animal):
def __init__(self):
Animal.__init__(self)
print("Dog Class Created")
def whoAmI(self):
... | Python | zaydzuhri_stack_edu_python |
function show_help_popup event
begin
set control = call GetEventObject
set template = call help_template
set html = item_html % tuple call GetLabel call get_help
call HTMLHelpWindow control html 0.25 0.13
end function | def show_help_popup ( event ):
control = event.GetEventObject()
template = help_template()
html = template.item_html % ( control.GetLabel(),
control.trait.get_help() )
HTMLHelpWindow( control, html, .25, .13 ) | Python | nomic_cornstack_python_v1 |
async function process self name args bot chat user msg_id
begin
if name not in commands
begin
raise call ValueError string Command not found
end
set cmd = commands at name
if not await call is_authorized bot chat user
begin
return false
end
await execute cmd args bot chat user msg_id
return true
end function | async def process(self, name: str, args: str, bot: "latexbot.LatexBot", chat: pyryver.Chat, user: pyryver.User, msg_id: str) -> bool:
if name not in self.commands:
raise ValueError("Command not found")
cmd = self.commands[name]
if not await cmd.is_authorized(bot, chat, user):
... | Python | nomic_cornstack_python_v1 |
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