code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function search query
begin
set results = list
for document in documents
begin
if query in document
begin
append results document
end
end
return results
end function | def search(query):
results = []
for document in documents:
if query in document:
results.append(document)
return results
| Python | flytech_python_25k |
import bootstrap
function clear **kw
begin
try
begin
comment set up the connection wit the passed parameters
set kw = setup bootstrap keyword kw
end
except Exception as e
begin
raise e
end
try else
begin
set redis_conn = get kw string redis_conn
comment now loop through each key and remove from the database
for key in ... | import bootstrap
def clear(**kw):
try:
# set up the connection wit the passed parameters
kw = bootstrap.setup(**kw)
except Exception as e:
raise e
else:
redis_conn = kw.get("redis_conn")
# now loop through each key and remove from the database
for key in redis_conn.keys():
# delete the key
... | Python | zaydzuhri_stack_edu_python |
function run_app self
begin
set server_str = string http:// + marathon_host + string : + marathon_port
set marathon_server = call MarathonClient server_str username=marathon_user password=marathon_pass
comment validate socket connection with given host and port
if call connect marathon_host integer marathon_port
begin
... | def run_app(self):
server_str = "http://" + self.marathon_host + ":" + self.marathon_port
marathon_server = MarathonClient(
server_str,
username=self.marathon_user,
password=self.marathon_pass,
)
### validate socket connection with given host and port... | Python | nomic_cornstack_python_v1 |
from astnode import *
class Compound extends AstNode
begin
function __init__ self
begin
call __init__ parent=none
set block_items = list
end function
function prepare_to_print self
begin
set name = name + string Compound statement:
end function
end class | from .astnode import *
class Compound(AstNode):
def __init__(self):
super(Compound, self).__init__(parent=None)
self.block_items = []
def prepare_to_print(self):
self.name += "Compound statement: "
| Python | zaydzuhri_stack_edu_python |
set inteiro = integer input string Digite um número inteiro:
set aux = inteiro - inteiro // 100 * 100
set dezenas = aux // 10
print string O dígito das dezenas é dezenas | inteiro=int(input("Digite um número inteiro: "))
aux = inteiro - (inteiro //100)*100
dezenas = aux//10
print("O dígito das dezenas é",dezenas) | Python | zaydzuhri_stack_edu_python |
function execute self cursor
begin
call error_check
set tuple cmd data = call get_string
execute cursor cmd data
end function | def execute(self, cursor):
self.error_check()
cmd, data = self.get_string()
cursor.execute(cmd, data) | Python | nomic_cornstack_python_v1 |
function load_model self filepath
begin
return call load_model filepath
end function | def load_model(self, filepath):
return tf.keras.models.load_model(filepath) | Python | nomic_cornstack_python_v1 |
import cv2
import numpy as np
import matplotlib.pyplot as plt
function plot_matches img1 img2 matches title par
begin
comment get distinct colors for the lines
set cmap = call get_cmap string hsv length matches
set img1 = img1 at tuple slice : : slice : : tuple 2 1 0
set img2 = img2 at tuple slice : : slice :... | import cv2
import numpy as np
import matplotlib.pyplot as plt
def plot_matches(img1, img2, matches, title, par):
cmap = plt.cm.get_cmap("hsv", len(matches)) # get distinct colors for the lines
img1 = img1[:, :, (2, 1, 0)]
img2 = img2[:, :, (2, 1, 0)]
plot_img = np.concatenate((img1, img2), axis=1)
fig, ax = plt.... | Python | zaydzuhri_stack_edu_python |
comment This file will read the swagger.yaml file and fetch the tags of the body
comment and write it a text file for further use.
import os , sys , ntpath , pymongo , time
import yaml
import xlwt , xlrd , csv
from xlwt import Workbook
from xlrd import open_workbook
from pymongo import MongoClient
comment class swagger... | # This file will read the swagger.yaml file and fetch the tags of the body
# and write it a text file for further use.
import os, sys, ntpath, pymongo, time
import yaml
import xlwt, xlrd,csv
from xlwt import Workbook
from xlrd import open_workbook
from pymongo import MongoClient
#class swaggerToExcel:
def readSwagger... | Python | zaydzuhri_stack_edu_python |
comment Train the model
from shallownet import *
from deepwnet import *
from transfer_learning_alexnet import *
from transfer_learning_resnet import *
from data import *
import torch
from torch import nn
from torch.optim import Adam , SGD , RMSprop
function train dir num_epochs learning_rate model_name
begin
if model_n... | # Train the model
from shallownet import *
from deepwnet import *
from transfer_learning_alexnet import *
from transfer_learning_resnet import *
from data import *
import torch
from torch import nn
from torch.optim import Adam,SGD,RMSprop
def train(dir,num_epochs,learning_rate,model_name):
if(model_name=='shallow'... | Python | zaydzuhri_stack_edu_python |
function pop_many cls longitude latitude location=none ignore_list=none _filter=none
begin
assert longitude and latitude
set radius = get config string matching.radius
set unit = get config string matching.unit
set _ignore_list = set ignore_list or list
set n = get config string matching.num_pop_parking_spaces
set redi... | def pop_many(cls, longitude, latitude, location=None, ignore_list=None,_filter=None):
assert (longitude and latitude)
radius = config.get('matching.radius')
unit = config.get('matching.unit')
_ignore_list = set(ignore_list or [])
n = config.get('matching.num_pop_parking_spaces')
... | Python | nomic_cornstack_python_v1 |
function clean_prep_xml des_xml rels_rIds pxml_subtags
begin
set tuple root tree = call gen_tree des_xml
set nmsps = nsmap at string r
set rId = string { { nmsps } }id
for tuple k v in items pxml_subtags
begin
set subtag1 = find tree k
for i in subtag1
begin
if get attrib rId
begin
if get attrib rId not in rels_rIds
be... | def clean_prep_xml(des_xml, rels_rIds, pxml_subtags):
root, tree = gen_tree(des_xml)
nmsps = root.nsmap['r']
rId = f"{{{nmsps}}}id"
for k,v in pxml_subtags.items():
subtag1 = tree.find(k)
for i in subtag1:
if i.attrib.get(rId):
if i.attrib.get(rId) not in rel... | Python | nomic_cornstack_python_v1 |
function arrow_area a b
begin
set newB = b / 2
return 0.5 * a * newB
end function | def arrow_area(a, b):
newB = b/2
return 0.5*a*newB | Python | zaydzuhri_stack_edu_python |
function test_gpu_simulation_multiple self
begin
set m = call ModelDescription string test_gpu_simulation_multiple
set a1 = call newAgent string a1
call newVariableInt string x
set a2 = call newAgent string a2
call newVariableInt string x
call newVariableInt string y
set func_add = call newRTCFunction string add_func a... | def test_gpu_simulation_multiple(self):
m = pyflamegpu.ModelDescription("test_gpu_simulation_multiple")
a1 = m.newAgent("a1")
a1.newVariableInt("x")
a2 = m.newAgent("a2")
a2.newVariableInt("x")
a2.newVariableInt("y")
func_add = a1.newRTCFunction("add_func", self.a... | Python | nomic_cornstack_python_v1 |
for i in range 0 10
begin
set s = x + x / 2
set y = y + s
set x = x / 2
end
print string 距离 y string 高度 x | for i in range(0,10):
s = x +x/2
y = y +s
x= x/2
print('距离',y,'高度',x)
| Python | zaydzuhri_stack_edu_python |
comment 请定义一个队列并实现函数 max_value 得到队列里的最大值，要求函数max_value、push_back 和 pop_front 的均摊时间复杂度都是O(1)。
comment 若队列为空，pop_front 和 max_value 需要返回 -1
comment 示例 1：
comment 输入:
comment ["MaxQueue","push_back","push_back","max_value","pop_front","max_value"]
comment [[],[1],[2],[],[],[]]
comment 输出: [null,null,null,2,1,2]
comment 示例 ... | # 请定义一个队列并实现函数 max_value 得到队列里的最大值，要求函数max_value、push_back 和 pop_front 的均摊时间复杂度都是O(1)。
#
# 若队列为空，pop_front 和 max_value 需要返回 -1
#
# 示例 1：
#
# 输入:
# ["MaxQueue","push_back","push_back","max_value","pop_front","max_value"]
# [[],[1],[2],[],[],[]]
# 输出: [null,null,null,2,1,2]
# 示例 2：
#
# 输入:
# ["MaxQueue","pop_front","max_... | Python | zaydzuhri_stack_edu_python |
comment requires pip install pillow
import qrcode
comment from PIL import Image, ImageDraw
comment from qrcode.image.pil import PilImage
comment generate a paypal payment link to the user identified by "email" for "sum" amount
function CreatePayPalLink sum email
begin
set BaseUrl = string https://www.paypal.com/cgi-bin... | # requires pip install pillow
import qrcode
#from PIL import Image, ImageDraw
#from qrcode.image.pil import PilImage
# generate a paypal payment link to the user identified by "email" for "sum" amount
def CreatePayPalLink(sum, email):
BaseUrl = "https://www.paypal.com/cgi-bin/webscr?cmd=_xclick&business=E... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
function minWindow self s t
begin
if s == string or t == string
begin
return string
end
comment 1) Maintain a COUNTER of all characters of t
set d = dict
for ch in t
begin
if ch not in d
begin
set d at ch = 1
end
else
begin
set d at ch = d at ch + 1
end
end
set required_match = length d
comment... | class Solution:
def minWindow(self, s, t):
if s == '' or t == '':
return ''
# 1) Maintain a COUNTER of all characters of t
d = {}
for ch in t:
if ch not in d:
d[ch] = 1
else:
d[ch] += 1
required_mat... | Python | zaydzuhri_stack_edu_python |
function load_config self
begin
comment get information from file
set pars = call parse_wfs_config_gui filename
comment get only the name of the file
set name = split filename string / at - 1 at slice : - 4 :
call setText name
comment set lineEdits based on what's in file
call setText string pars at string energy
cal... | def load_config(self):
# get information from file
pars = wfs_utils.parse_wfs_config_gui(self.filename)
# get only the name of the file
name = self.filename.split('/')[-1][:-4]
self.lineEdit_filename.setText(name)
# set lineEdits based on what's in file
self.lin... | Python | nomic_cornstack_python_v1 |
function f_predict_time_series p_serie_tiempo
begin
comment Meses en el futuro, predecir
set meses = 6
comment Ultimo precio
set ultimo_precio = p_serie_tiempo at length p_serie_tiempo - 1
comment Reiniciar indice
set serie_tiempo = copy p_serie_tiempo
reset index serie_tiempo drop=true inplace=true
comment -----------... | def f_predict_time_series(p_serie_tiempo):
# Meses en el futuro, predecir
meses = 6
# Ultimo precio
ultimo_precio = p_serie_tiempo[len(p_serie_tiempo) - 1]
# Reiniciar indice
serie_tiempo = p_serie_tiempo.copy()
serie_tiempo.reset_index(drop=True, inplace=True)
# --------... | Python | nomic_cornstack_python_v1 |
function has_unresected_pair resected_idx unresected_imgs img_adjacency
begin
for idx in unresected_imgs
begin
if img_adjacency at resected_idx at idx == 1 or img_adjacency at idx at resected_idx == 1
begin
return true
end
end
return false
end function | def has_unresected_pair(resected_idx, unresected_imgs, img_adjacency):
for idx in unresected_imgs:
if img_adjacency[resected_idx][idx] == 1 or img_adjacency[idx][resected_idx] == 1:
return True
return False | Python | nomic_cornstack_python_v1 |
import pygame
call init
set GREEN = tuple 0 255 0
set BLACK = tuple 0 0 0
set WHITE = tuple 255 255 255
set RED = tuple 255 0 0
set screenWidth = 1200
set screenHeight = 600
set half_sc = 300
set vel = 9
set x = 20
set y = 236
set a = 64
set b = 64
set obsticle_a = 64
set run = true
set isJump = false
set jumpCount = 1... | import pygame
pygame.init()
GREEN = (0, 255, 0)
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
RED = (255, 0, 0)
screenWidth = 1200
screenHeight = 600
half_sc = 300
vel = 9
x = 20
y = 236
a = 64
b = 64
obsticle_a = 64
run = True
isJump = False
jumpCount = 10
win = pygame.display.set_mode((screenWidth, screenHeight))
#mai... | Python | zaydzuhri_stack_edu_python |
function get_ip_info self interface
begin
set ip_re = string ([0-9]+.[0-9]+.[0-9]+.[0-9]+)
set type_re = string (\w+)
set info_re = string Type: %s, IP: %s Netmask %s Gateway %s % tuple type_re ip_re ip_re ip_re
set ip_info = dict
set buf = call cmd string get ipaddr %s % interface
if match info_re buf at 0
begin
set ... | def get_ip_info(self, interface):
ip_re = '([0-9]+.[0-9]+.[0-9]+.[0-9]+)'
type_re = '(\w+)'
info_re = 'Type: %s, IP: %s Netmask %s Gateway %s' % (type_re, ip_re, ip_re, ip_re)
ip_info = {}
buf = self.cmd("get ipaddr %s" % interface)
if re.match(info_re, buf[0]):
... | Python | nomic_cornstack_python_v1 |
function set_primehub_config_if_not_none cparent name key
begin
set data = call get_primehub_config key
if data is not none
begin
set attribute cparent name data
end
end function | def set_primehub_config_if_not_none(cparent, name, key):
data = get_primehub_config(key)
if data is not None:
setattr(cparent, name, data) | Python | nomic_cornstack_python_v1 |
from parse_json import Tag , TextTag
import unittest
import html
class TestTags extends TestCase
begin
function setUp self
begin
set test_tag1 = string h1
set test_value1 = string test1
set test_result1 = string <h1>test1</h1>
set test_tag2 = string p
set test_value2 = string test2
set test_result2 = string <p>test2</p... | from parse_json import Tag, TextTag
import unittest
import html
class TestTags(unittest.TestCase):
def setUp(self):
self.test_tag1 = 'h1'
self.test_value1 = 'test1'
self.test_result1 = '<h1>test1</h1>'
self.test_tag2 = 'p'
self.test_value2 = 'test2'
self.test_resu... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: UTF-8 -*-
import os
import imghdr
import cv2
import numpy as np
from skimage import io
from skimage.feature import canny
from skimage.color import rgb2gray
from skimage.transform import hough_line , hough_line_peaks
from skimage.transform import rotate
from PIL import Image | # -*- coding: UTF-8 -*-
import os
import imghdr
import cv2
import numpy as np
from skimage import io
from skimage.feature import canny
from skimage.color import rgb2gray
from skimage.transform import hough_line, hough_line_peaks
from skimage.transform import rotate
from PIL import Image | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding:utf-8 -*-
comment ====#====#====#====
comment Author:
comment CreatDate:
comment Version:
comment ====#====#====#====
from woniuboss_test_frame.util.parse_excel import ParseExcel
from xml.etree import ElementTree
class ReadFile
begin
string 调用read_excel方法，读取excel文件，主要用于读取... | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#====#====#====#====
#Author:
#CreatDate:
#Version:
#====#====#====#====
from woniuboss_test_frame.util.parse_excel import ParseExcel
from xml.etree import ElementTree
class ReadFile:
"""
调用read_excel方法，读取excel文件，主要用于读取data数据
调用read_xml方法，读取xml文件，主要用于读取配置... | Python | zaydzuhri_stack_edu_python |
function test_range detector
begin
set image = random tuple 100 100
set out = call detector image
call assert_ min >= 0 string Minimum of ` { __name__ } ` is smaller than 0.
call assert_ max <= 1 string Maximum of ` { __name__ } ` is larger than 1.
end function | def test_range(detector):
image = cp.random.random((100, 100))
out = detector(image)
assert_(
out.min() >= 0, f"Minimum of `{detector.__name__}` is smaller than 0."
)
assert_(
out.max() <= 1, f"Maximum of `{detector.__name__}` is larger than 1."
) | Python | nomic_cornstack_python_v1 |
function get_bayes_estimates summary map_estimate
begin
set mean_beta = none
set mean_zt = none
comment Go through all estimates
for tuple index row in call iterrows
begin
if index == string A
begin
set mean_A = row at string mean
set std_A = row at string sd
set C2_5_A = row at string hdi_3%
set C97_5_A = row at strin... | def get_bayes_estimates(summary, map_estimate):
mean_beta = None
mean_zt = None
# Go through all estimates
for index, row in summary.iterrows():
if index=='A':
mean_A = row['mean']
std_A = row['sd']
C2_5_A = row['hdi_3%']
C97_5_A = row['hdi_97%']... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
comment -*- coding: utf-8 -*-
comment @Author:Pxz
comment @Time :2018/12/20 0020下午 2:39
class A
begin
set a = string 1
function __init__ self **kwargs
begin
for tuple key value in items kwargs
begin
set attribute self key value
end
end function
end class
function proce para
begin
print para
en... | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# @Author:Pxz
# @Time :2018/12/20 0020下午 2:39
class A:
a = "1"
def __init__(self, **kwargs):
for key, value in kwargs.items():
setattr(self, key, value)
def proce(para):
print(para)
class B(A):
def p(self):
proce(self.a)
i... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
import sys
function main
begin
set lines = list
set index = list
for line in stdin
begin
set line = split line
set row = list comprehension c for c in line
append lines row
end
set l1 = lines at 0
set l2 = lines at 1
set i = 0
while i < length l1 and length l2
begin
if l1 at i == l2 at i... | #!/usr/bin/env python3
import sys
def main():
lines = []
index = []
for line in sys.stdin:
line = line.split()
row = [c for c in line]
lines.append(row)
l1 = lines[0]
l2 = lines[1]
i = 0
while i < len(l1) and len(l2):
if l1[i] == l2[i]:
index.a... | Python | zaydzuhri_stack_edu_python |
function test_search_entry_meal self
begin
pass
end function | def test_search_entry_meal(self):
pass | Python | nomic_cornstack_python_v1 |
from BackProp_Python_v2 import NN
from vrep_pioneer_simulation import VrepPioneerSimulation
from rdn import Pioneer
import rospy
from online_trainer import OnlineTrainer
import json
import threading
set robot = call VrepPioneerSimulation
comment robot = Pioneer(rospy)
set network = nn 3 10 2
set choice = input string D... | from BackProp_Python_v2 import NN
from vrep_pioneer_simulation import VrepPioneerSimulation
from rdn import Pioneer
import rospy
from online_trainer import OnlineTrainer
import json
import threading
robot = VrepPioneerSimulation()
#robot = Pioneer(rospy)
network = NN(3, 10, 2)
choice = input('Do you want to load pr... | Python | zaydzuhri_stack_edu_python |
class Solution extends object
begin
function isMatch1 self s p
begin
string :type s: str :type p: str :rtype: bool
comment print 'matching %s %s' % (s, p)
if p == string
begin
return length s == 0
end
if length p > 1 and p at 1 == string *
begin
if call isMatch1 s p at slice 2 : :
begin
return true
end
else
begin
if ... | class Solution(object):
def isMatch1(self, s, p):
"""
:type s: str
:type p: str
:rtype: bool
"""
#print 'matching %s %s' % (s, p)
if p == '':
return len(s)==0
if len(p) > 1 and p[1] == '*':
if self.isMatch1(s, p[2:]):
... | Python | zaydzuhri_stack_edu_python |
function call_domains input num_states genome cmap output sparse nproc
begin
print string Starting HMM on + input file=stderr
set chroms = call get_chroms genome
set df = call create_df inputfile=input chroms=chroms
set df = call hmm df num_states
print string Finished hmm!
set df_sparse = call sparse df
call write_to_... | def call_domains(
input, num_states, genome, cmap, output, sparse, nproc,
):
print("Starting HMM on " + input, file=sys.stderr)
chroms = hmm.get_chroms(genome)
df = hmm.create_df(inputfile=input, chroms=chroms)
df = hmm.hmm(df, num_states)
print("Finished hmm!")
df_sparse =hmm.sparse(df... | Python | nomic_cornstack_python_v1 |
for i in range bolas_de_neves
begin
set vencedora = renas at j
set j = j + 1
if j == 9
begin
set j = 0
end
end
print vencedora | for i in range(bolas_de_neves):
vencedora = renas[j]
j += 1
if j == 9:
j = 0
print(vencedora)
| Python | zaydzuhri_stack_edu_python |
function binarySearch theValues target
begin
set low = 0
set high = length theValues - 1
while low <= high
begin
set mid = low + high // 2
if theValues at mid == target
begin
return true
end
else
if target < theValues at mid
begin
set high = mid - 1
end
else
begin
set low = mid + 1
end
end
return true
end function
func... | def binarySearch(theValues, target):
low = 0
high = len(theValues) - 1
while low <= high:
mid = (low+high)//2
if theValues[mid] == target:
return True
elif target < theValues[mid]:
high = mid - 1
else:
low = mid + 1
return True
def bubbleSort(theSeq):
n = len(theSeq)
for i in range(n - 1):
fo... | Python | zaydzuhri_stack_edu_python |
function test_div
begin
set l = list 1 2 3 4
assert call div *l == 1 / 2 / 3 / 4
assert call div 100 20 == 5
assert call div 100.0 20 == 5.0
assert call div 100 20.0 == 5.0
end function | def test_div():
l = [1, 2, 3, 4]
assert s7.div(*l) == 1 / 2 / 3 / 4
assert s7.div(100, 20) == 5
assert s7.div(100.0, 20) == 5.0
assert s7.div(100, 20.0) == 5.0 | Python | nomic_cornstack_python_v1 |
function period_seconds self value
begin
set _properties at string periodSeconds = value
end function | def period_seconds(self, value: int):
self._properties["periodSeconds"] = value | Python | nomic_cornstack_python_v1 |
function ping client
begin
if client_type == WEBHOOK
begin
return call _ping_webhook client
end
else
begin
return call _ping_client client
end
end function | def ping(client: MobileClient) -> bool:
if client.client_type == ClientType.WEBHOOK:
return TBANSHelper._ping_webhook(client)
else:
return TBANSHelper._ping_client(client) | Python | nomic_cornstack_python_v1 |
comment https://www.acmicpc.net/problem/10809
from sys import stdin
set input = readline
set text = right strip input
set countList = list - 1 * 26
for tuple i c in enumerate text
begin
set alphaIndex = ordinal c - 97
if countList at alphaIndex == - 1
begin
set countList at alphaIndex = i
end
end
print join string map... | # https://www.acmicpc.net/problem/10809
from sys import stdin
input = stdin.readline
text = input().rstrip()
countList = [-1]*26
for i, c in enumerate(text):
alphaIndex = ord(c)-97
if countList[alphaIndex] == -1 :
countList[alphaIndex] = i
print(" ".join(map(str,countList)))
| Python | zaydzuhri_stack_edu_python |
function _double_controlled_phi_add_mod_N self num_qubits angles
begin
set circuit = call QuantumCircuit num_qubits name=string ccphi_add_mod_N
set ctl_up = 0
set ctl_down = 1
set ctl_aux = 2
comment get qubits from aux register, omitting the control qubit
set qubits = range 3 num_qubits
comment store the gates represe... | def _double_controlled_phi_add_mod_N(
self, num_qubits: int, angles: Union[np.ndarray, ParameterVector]
) -> QuantumCircuit:
circuit = QuantumCircuit(num_qubits, name="ccphi_add_mod_N")
ctl_up = 0
ctl_down = 1
ctl_aux = 2
# get qubits from aux register, omitting the... | Python | nomic_cornstack_python_v1 |
async function config_directories request
begin
return dict string configdir call get_cfg_value string general.configdir ; string basedir call get_cfg_value string general.basedir ; string frontenddir call get_cfg_value string general.frontenddir ; string _links dict string _self call url_for string config.config_direc... | async def config_directories(request) -> ConfigDir:
return {
"configdir": DopplerrConfig().get_cfg_value("general.configdir"),
"basedir": DopplerrConfig().get_cfg_value("general.basedir"),
"frontenddir": DopplerrConfig().get_cfg_value("general.frontenddir"),
"_links": {
"... | Python | nomic_cornstack_python_v1 |
async function wait_for_blast_search self
begin
set interval = 3
while true
begin
await sleep interval
set blast = await call check_nuvs_blast analysis_id sequence_index
if ready
begin
info string Retrieved result for BLAST %s rid
break
end
if error
begin
info string Encountered error for BLAST %s: %s rid error
await c... | async def wait_for_blast_search(self):
interval = 3
while True:
await asyncio.sleep(interval)
blast = await self.data.blast.check_nuvs_blast(
self.analysis_id, self.sequence_index
)
if blast.ready:
logger.info("Retrieved... | Python | nomic_cornstack_python_v1 |
import unittest
from barista import Barista
from waiter import Waiter
class WaiterTestCase extends TestCase
begin
function setUp self
begin
set waiter1 = call Waiter string Harry Potter 150
set customers_served = 42
set barista1 = call Barista string Hermione Granger 160
end function
function test_init self
begin
set w... | import unittest
from barista import Barista
from waiter import Waiter
class WaiterTestCase(unittest.TestCase):
def setUp(self) -> None:
self.waiter1 = Waiter("Harry Potter", 150)
self.waiter1.customers_served = 42
self.barista1 = Barista("Hermione Granger", 160)
def test_init(self):... | Python | zaydzuhri_stack_edu_python |
function print_prime_numbers num
begin
for i in range 2 num + 1
begin
for j in range 2 i
begin
if i % j == 0
begin
break
end
end
for else
begin
print i
end
end
end function | def print_prime_numbers(num):
for i in range(2, num+1):
for j in range(2, i):
if (i % j) == 0:
break
else:
print(i) | Python | jtatman_500k |
comment !/usr/bin/env python
comment -*- coding:utf-8 -*-
import sys , math , getopt
import tensorflow as tf
import numpy as np
from text_dataset import TextDataset
class MyW2V extends object
begin
string Implementation of PV-DM (Distributed Memory Model of Paragraph Vectors) see Distributd Representation of Sentences ... | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import sys, math, getopt
import tensorflow as tf
import numpy as np
from text_dataset import TextDataset
class MyW2V(object):
'''
Implementation of PV-DM (Distributed Memory Model of Paragraph Vectors)
see Distributd Representation of Sentences and Do... | Python | zaydzuhri_stack_edu_python |
function process_tar_archive tar_file_name
begin
with open tar_file_name string r as tar
begin
set tar_log_files = call getnames
set queue_log_subset = concat list comprehension call assign Date=string parse time split log string . at 0 string %Y-%m-%d-%H-%M-%S for log in tar_log_files
end
return queue_log_subset
end f... | def process_tar_archive(tar_file_name):
with tarfile.open(tar_file_name,'r') as tar:
tar_log_files = tar.getnames()
queue_log_subset = pd.concat([ pd.read_csv(tar.extractfile(log),delim_whitespace=True).assign(
Date=datetime.datetime.strptime(log.split('.')[0],'%Y-%m-%d-%... | Python | nomic_cornstack_python_v1 |
function predicate self qx
begin
set lhs = call qx lhs
set op = op
set name = __name__
set op = get _Op_Map_ name op
return call _op_call name op *self.args keyword kw
end function | def predicate (self, qx) :
lhs = qx (self.lhs)
op = self.op
name = op.__name__
op = _Op_Map_.get (name, op)
return lhs._op_call (name, op, * self.args, ** self.kw) | Python | nomic_cornstack_python_v1 |
import os , time
class Login
begin
set cal = 0
set call = 0
set ag = none
function agencia self
begin
while cal <= 4 or cal >= 4
begin
set agen = string input string AGÊNCIA :
set cal = length agen
set ag = agen
if length agen == 4
begin
break
end
else
begin
print string DADOS INCORRETO PERMITIDO APENAS 4 DIGITOS
sleep... | import os, time
class Login:
cal = 0
call = 0
ag = None
def agencia(self):
while self.cal <= 4 or self.cal >= 4:
agen = str(input('AGÊNCIA : '))
self.cal = len(agen)
self.ag = agen
if len(agen) == 4:
break
... | Python | zaydzuhri_stack_edu_python |
function __on_message self user msg
begin
print string { user } says: { msg }
end function | def __on_message(self, user, msg):
print(f'{user} says:\t {msg}') | Python | nomic_cornstack_python_v1 |
comment _*_ coding: utf-8 _*_
comment author jiudianren
comment time:2019/11/5 16:42
import requests
import zipfile
import configparser
function unzip_single src_file dest_dir
begin
print string unzip_single start
set f_str = src_file
set zf = zip file f_str
try
begin
extract all zf path=dest_dir
end
except RuntimeErro... | # _*_ coding: utf-8 _*_
# author jiudianren
# time:2019/11/5 16:42
import requests
import zipfile
import configparser
def unzip_single(src_file, dest_dir):
print("unzip_single start")
f_str = src_file
zf = zipfile.ZipFile(f_str)
try:
zf.extractall(path=dest_dir)
except RuntimeError as e:... | Python | zaydzuhri_stack_edu_python |
string modul 3
set A = list list 2 3 list 3 1
set B = list list 6 3 list 4 2
set a = length A
set b = length B
comment 1
comment konsistensi isi dan ukuran matriks
set N = 5
set M = 4
set res = list comprehension list comprehension 0 for i in range N for j in range M
print string Matriks setelahi inisiasi: + string res... | """modul 3"""
A = [[2,3],
[3,1]]
B = [[6,3],
[4,2]]
a = len(A)
b = len(B)
#1
#konsistensi isi dan ukuran matriks
N = 5
M = 4
res = [ [ 0 for i in range(N) ] for j in range(M) ]
print("Matriks setelahi inisiasi: " + str(res))
print (' ')
#ukuran matriks
res = [sum(len(row) > idx for row in B)
... | Python | zaydzuhri_stack_edu_python |
set name = input string Hey! Please type your name:
print format string Hello, {} name |
name=input("Hey! Please type your name: ")
print("Hello, {}".format(name))
| Python | zaydzuhri_stack_edu_python |
function cdsparse self record
begin
string Finds core genes, and records gene names and sequences in dictionaries :param record: SeqIO record
try
begin
comment Find genes that are present in all strains of interest - the number of times the gene is found is
comment equal to the number of strains. Earlier parsing ensure... | def cdsparse(self, record):
"""
Finds core genes, and records gene names and sequences in dictionaries
:param record: SeqIO record
"""
try:
# Find genes that are present in all strains of interest - the number of times the gene is found is
# equal to the n... | Python | jtatman_500k |
function load_log filename
begin
set logfile = open directory + filename string r
set log = call splitlines
set log = list comprehension decimal i for i in log
close logfile
return log
end function | def load_log(filename):
logfile = open(directory + filename, "r")
log = logfile.read().splitlines()
log = [float(i) for i in log]
logfile.close()
return log | Python | nomic_cornstack_python_v1 |
from flask_restful import Resource , reqparse
from com_stock_api.memberChurn_pred.memberChurn_pred_dto import MemberChurnPredDto
from com_stock_api.memberChurn_pred.memberChurn_pred_dao import MemberChurnPredDao
class MemberChurnPred extends Resource
begin
function __init__ self
begin
set parser = call RequestParser
ca... | from flask_restful import Resource, reqparse
from com_stock_api.memberChurn_pred.memberChurn_pred_dto import MemberChurnPredDto
from com_stock_api.memberChurn_pred.memberChurn_pred_dao import MemberChurnPredDao
class MemberChurnPred(Resource):
def __init__(self):
parser = reqparse.RequestParser()
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment encoding: utf-8
import pickle
import numpy as np
from scipy import spatial
function cos_similarity a b
begin
with open string image_vectors.pkl string rb as f
begin
set images = load pickle f
set s1 = images at a
set s2 = images at b
return 1 - call cosine s1 s2
end
end function
fun... | #!/usr/bin/env python
# encoding: utf-8
import pickle
import numpy as np
from scipy import spatial
def cos_similarity(a, b):
with open('image_vectors.pkl', 'rb') as f:
images = pickle.load(f)
s1 = images[a]
s2 = images[b]
return 1 - spatial.distance.cosine(s1, s2)
def print_all_... | Python | zaydzuhri_stack_edu_python |
import django_filters
from rest_framework import filters
from rest_framework import ISO_8601
from distutils.util import strtobool
from django.utils.encoding import force_str
from django import forms
from django.utils.dateparse import parse_datetime
from django.forms import DateTimeField
set BOOLEAN_CHOICES = tuple tupl... | import django_filters
from rest_framework import filters
from rest_framework import ISO_8601
from distutils.util import strtobool
from django.utils.encoding import force_str
from django import forms
from django.utils.dateparse import parse_datetime
from django.forms import DateTimeField
BOOLEAN_CHOICES = (
... | Python | zaydzuhri_stack_edu_python |
function get_test_runs_by_run_id run_id session=none
begin
set session = session or call get_session
set test_runs = all
return test_runs
end function | def get_test_runs_by_run_id(run_id, session=None):
session = session or get_session()
test_runs = db_utils.model_query(models.TestRun,
session=session).filter_by(
run_id=run_id).all()
return test_runs | Python | nomic_cornstack_python_v1 |
function __init__ self env k
begin
call __init__ self env
set k = k
set frames = deque list maxlen=k
set shp = shape
set observation_space = call Box low=0 high=255 shape=tuple shp at 0 shp at 1 shp at 2 * k dtype=uint8
end function | def __init__(self, env, k):
gym.Wrapper.__init__(self, env)
self.k = k
self.frames = deque([], maxlen=k)
shp = env.observation_space.shape
self.observation_space = spaces.Box(low=0, high=255, shape=(shp[0], shp[1], shp[2] * k), dtype=np.uint8) | Python | nomic_cornstack_python_v1 |
function describe_list lst name
begin
print string Description of name string :
print string Count: length lst
print string Sum: sum lst
print string Min: min lst
print string Mean: sum lst / length lst
print string Max: max lst
call distplot lst axlabel=name
show
print
end function | def describe_list(lst, name):
print("Description of", name, ":")
print("Count:", len(lst))
print("Sum:", sum(lst))
print("Min:", min(lst))
print("Mean:", sum(lst) / len(lst))
print("Max:", max(lst))
sns.distplot(lst, axlabel=name)
plt.show()
print() | Python | nomic_cornstack_python_v1 |
from bs4 import BeautifulSoup
import requests
set res = get requests string https://en.wikipedia.org/wiki/List_of_cities_in_India_by_population
set soup = call BeautifulSoup text string lxml
text
set table = find all string table attrs=dict string class string wikitable sortable
p
set tb = list
for t in table
begin
se... | from bs4 import BeautifulSoup
import requests
res = requests.get(
"https://en.wikipedia.org/wiki/List_of_cities_in_India_by_population"
)
soup = BeautifulSoup(res.text, "lxml")
soup.title.text
table = soup.findAll("table", attrs={"class": "wikitable sortable"})
soup.p
tb = []
for t in table:
x = t.findAll("t... | Python | zaydzuhri_stack_edu_python |
function test_electron_effective_mass_non_numeric self
begin
set input_params at string electron_effective_mass = string this string is non-numeric.
try
begin
set El = call SC keyword input_params
end
except TypeError
begin
comment Attempting to instantiate a `tec.electrode.SC` with a non-numeric `electron_effective_ma... | def test_electron_effective_mass_non_numeric(self):
self.input_params["electron_effective_mass"] = "this string is non-numeric."
try:
El = SC(**self.input_params)
except TypeError:
# Attempting to instantiate a `tec.electrode.SC` with a non-numeric `electron_effective_ma... | Python | nomic_cornstack_python_v1 |
function filter_allowed_extensions extensions allowed_extensions=none
begin
set allowed_extensions = allowed_extensions or list
for ext in extensions
begin
set ext_name = get OID_NAMES oid none
if ext_name in allowed_extensions
begin
yield ext
end
else
if critical
begin
raise call CertificateValidationError extension=... | def filter_allowed_extensions(extensions, allowed_extensions=None):
allowed_extensions = allowed_extensions or []
for ext in extensions:
ext_name = OID_NAMES.get(ext.oid, None)
if ext_name in allowed_extensions:
yield ext
else:
if ext.critical:
ra... | Python | nomic_cornstack_python_v1 |
function Check self artifacts
begin
raise call NotImplementedError string Subclass didn't implement Check method.
end function | def Check(self, artifacts: list[T]) -> bool:
raise NotImplementedError("Subclass didn't implement Check method.") | Python | nomic_cornstack_python_v1 |
function func x
begin
if x % 2 == 0
begin
return x + 5
end
else
begin
return x - 5
end
end function
function test_method
begin
assert call func 3 == 8
end function
function test_method_2
begin
assert call func 2 == 7
end function | def func(x):
if x%2 == 0:
return x+5
else:
return x-5
def test_method():
assert func(3)== 8
def test_method_2():
assert func(2) == 7 | Python | zaydzuhri_stack_edu_python |
function integration_partner_id self integration_partner_id
begin
set _integration_partner_id = integration_partner_id
end function | def integration_partner_id(self, integration_partner_id):
self._integration_partner_id = integration_partner_id | Python | nomic_cornstack_python_v1 |
string Created on Sep/26/2018 @author: Bryce Xu
import tensorflow as tf
string AlexNet Input Cifar-10:32x32x3 SpatialConvolution (Weight Only) 'VALID' [3,3,3,128] [1,1,1,1] 32x32x3 -> 32x32x128 BatchNormalization HardTanh SpartialConvolution_1 [3,3,128,128] [1,1,1,1] 32x32x128 -> 32x32x128 MaxPooling [1,2,2,1] [1,2,2,1... | '''
Created on Sep/26/2018
@author: Bryce Xu
'''
import tensorflow as tf
'''
AlexNet
Input
Cifar-10:32x32x3
SpatialConvolution (Weight Only) 'VALID'
[3,3,3,128]
[1,1,1,1]
32x32x3 -> 32x32x128
BatchNormalization
HardTanh
SpartialConvolution_1
[3,3,128,128]
[1,1,1,1]
32x32x128 -> 32x32x128
M... | Python | zaydzuhri_stack_edu_python |
import dash
import dash_html_components as html
import dash_core_components as dcc
import plotly.offline as pyo
import plotly.graph_objs as go
import pandas as pd
import numpy as np
from dash.dependencies import Input , Output
import dash_table
set app = call Dash
set server = server
set df2 = read csv string contents2... | import dash
import dash_html_components as html
import dash_core_components as dcc
import plotly.offline as pyo
import plotly.graph_objs as go
import pandas as pd
import numpy as np
from dash.dependencies import Input, Output
import dash_table
app = dash.Dash()
server = app.server
df2 = pd.read_csv('contents2.csv')
d... | Python | zaydzuhri_stack_edu_python |
comment ! /bin/env python
import sys
class InputFile
begin
function __init__ self filename
begin
set in_file = open filename string r
set text = read in_file
set temp = split text string
set rows = split text at slice length temp at 0 : : string
set cases = integer temp at 0
close in_file
end function
function getSiz... | #! /bin/env python
import sys;
class InputFile:
def __init__(self, filename):
in_file = open(filename,"r");
text = in_file.read();
temp = text.split("\n");
self.rows = text[len(temp[0]):].split("\n\n");
self.cases = int(temp[0]);
in_file.close()
def getSize(self):
return self.cases;
def getBoard(se... | Python | zaydzuhri_stack_edu_python |
if age < 4
begin
print string 幼儿
end
if age < 12
begin
print string 儿童
end
if age < 18
begin
print string 青少年
end
if age < 25
begin
print string 青年
end
if age < 100
begin
print string 少于100
end
else
begin
print string 大于100
end
if age < 10
begin
print string age
end
if name == string 小明
begin
print string 小明
end
commen... | if age < 4 :
print('幼儿')
if age < 12 :
print('儿童')
if age < 18 :
print('青少年')
if age < 25 :
print('青年')
if age < 100 :
print('少于100')
else :
print('大于100')
if age < 10 :
print('age')
if name == '小明':
print('小明')
# 局部变量 影响部分代码 在部分代码中有效
# 全局变量 在全部代码中都有效
if age < 5 :
info = '小学生'
... | Python | zaydzuhri_stack_edu_python |
function test_stundenplaene_duplicates self
begin
comment the database better be ok before we test this:
set problem = call check_stundenplaene_unique
assert false problem
set cl = call login_user string JochenMelzian
set response = get cl string /arbeitsplan/aufgabeEditieren/7/
assert equal status_code 200
call pp con... | def test_stundenplaene_duplicates(self):
# the database better be ok before we test this:
problem = self.check_stundenplaene_unique()
self.assertFalse(problem)
cl = self.login_user('JochenMelzian')
response = cl.get('/arbeitsplan/aufgabeEditieren/7/')
self.assertEqual(r... | Python | nomic_cornstack_python_v1 |
comment Author: ddlee, me@ddlee.cn
comment License: MIT
comment Docs:
comment there are two special layers, input and loss,
comment which stand for the start and the end of a network
import numpy as np
from collections import defaultdict
from zeronet.core.function import *
set __all__ = list string layer string Linear ... | # Author: ddlee, me@ddlee.cn
# License: MIT
# Docs:
# there are two special layers, input and loss,
# which stand for the start and the end of a network
import numpy as np
from collections import defaultdict
from zeronet.core.function import *
__all__ = ['layer', 'Linear', 'Conv', 'Pool', 'ReLU', 'Sigmoid']
class l... | Python | zaydzuhri_stack_edu_python |
function free_rec_acc y_true y_pred get_prop_corr=false
begin
if call shape y_true != call shape y_pred
begin
print string y_pred type: { type y_pred } { y_pred }
print string y_true type: { type y_true } { y_true }
raise call ValueError string y_true ( { call shape y_true } ) and y_pred ( { call shape y_pred } ) shoul... | def free_rec_acc(y_true, y_pred, get_prop_corr=False):
if np.shape(y_true) != np.shape(y_pred):
print(f"\ny_pred\ntype: {type(y_pred)}\n{y_pred}")
print(f"\ny_true\ntype: {type(y_true)}\n{y_true}")
raise ValueError(f"y_true ({np.shape(y_true)}) and y_pred ({np.shape(y_pred)}) should be same... | Python | nomic_cornstack_python_v1 |
function flash_write self addr data nbits=none flags=0
begin
comment This indicates that all data written from this point on will go into
comment the buffer of the flashloader of the DLL.
call JLINKARM_BeginDownload flags
call memory_write addr data nbits=nbits
comment Start downloading the data into the flash memory.
... | def flash_write(self, addr, data, nbits=None, flags=0):
# This indicates that all data written from this point on will go into
# the buffer of the flashloader of the DLL.
self._dll.JLINKARM_BeginDownload(flags)
self.memory_write(addr, data, nbits=nbits)
# Start downloading the ... | Python | nomic_cornstack_python_v1 |
function bestAttr attributes data
begin
set maxGain = 0
set maxGainAttribute = string
for item in attributes
begin
set info_gain = call InfoGain data item attributes
comment print(info_gain,maxGain,len(attributes),len(data[0]),sep=' % ')
if info_gain > maxGain
begin
set maxGain = call InfoGain data item attributes
set... | def bestAttr(attributes, data):
maxGain = 0
maxGainAttribute = ''
for item in attributes:
info_gain = InfoGain(data, item, attributes)
# print(info_gain,maxGain,len(attributes),len(data[0]),sep=' % ')
if( info_gain > maxGain):
maxGain = InfoGain(data, item, attributes)
maxGainAttribute = item
return max... | Python | nomic_cornstack_python_v1 |
function _cat_directions self h
begin
if bidirectional_encoder
begin
set h = call cat list h at slice 0 : size h 0 : 2 h at slice 1 : size h 0 : 2 2
end
return h
end function | def _cat_directions(self, h):
if self.bidirectional_encoder:
h = torch.cat([h[0:h.size(0):2], h[1:h.size(0):2]], 2)
return h | Python | nomic_cornstack_python_v1 |
comment Blink
comment Import Pin class from machine library to configure GPIO Pins.
from machine import Pin
comment Import utime library to implement delay
import utime
comment create an object of Pin class and set GPIO Parameters (GPIO Pin, Direction).
set led_gpio25 = call Pin 25 OUT
comment Create an infinite loop. ... | # Blink
#Import Pin class from machine library to configure GPIO Pins.
from machine import Pin
#Import utime library to implement delay
import utime
#create an object of Pin class and set GPIO Parameters (GPIO Pin, Direction).
led_gpio25 = Pin(25, Pin.OUT)
#Create an infinite loop. This is similar to while(1) in C.
wh... | Python | zaydzuhri_stack_edu_python |
import file1
print string File2: __name__ var is: %s % __name__
if __name__ == string __main__
begin
print string File is being run directly
end
else
begin
print string File is being imported
end | import file1
print("File2: __name__ var is: %s"%__name__)
if __name__ == "__main__":
print("File is being run directly")
else:
print("File is being imported") | Python | zaydzuhri_stack_edu_python |
from sanic import Blueprint
from sanic.response import json
from sanic.exceptions import InvalidUsage , NotFound
from models import Author , Book
import marshallers
set bp = call Blueprint string app
class InvalidParameter extends InvalidUsage
begin
set description = string An invalid parameter was provided
end class
f... | from sanic import Blueprint
from sanic.response import json
from sanic.exceptions import InvalidUsage, NotFound
from models import Author, Book
import marshallers
bp = Blueprint("app")
class InvalidParameter(InvalidUsage):
description = "An invalid parameter was provided"
def validate_get(request, marshaller... | Python | zaydzuhri_stack_edu_python |
from textblob import TextBlob
set reviews = list string This is a great product! string It is okay, not bad. string This product is terrible.
set classified_reviews = dict string positive list ; string neutral list ; string negative list
for review in reviews
begin
set blob = call TextBlob review
if polarity > 0.5
b... | from textblob import TextBlob
reviews = ['This is a great product!', 'It is okay, not bad.', 'This product is terrible.']
classified_reviews = {'positive': [], 'neutral': [], 'negative': []}
for review in reviews:
blob = TextBlob(review)
if blob.sentiment.polarity > 0.5:
classified_reviews['positive'].a... | Python | flytech_python_25k |
comment !/usr/bin/env python3
string module
import numpy as np
function pdf X m S
begin
string ` function that calculates the probability density function of a Gaussian distribution
if not is instance X ndarray or ndim != 2
begin
return none
end
if not is instance m ndarray or ndim != 1
begin
return none
end
if not is ... | #!/usr/bin/env python3
""" module """
import numpy as np
def pdf(X, m, S):
"""` function that calculates the probability
density function of a Gaussian distribution """
if not isinstance(X, np.ndarray) or X.ndim != 2:
return None
if not isinstance(m, np.ndarray) or m.ndim != 1:
return ... | Python | zaydzuhri_stack_edu_python |
import cv2
import time
from PIL import Image
from numpy import array
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import classification_report , confusion_matrix
import pickle
call namedWindow ... | import cv2
import time
from PIL import Image
from numpy import array
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.neural_network import MLPClassifier
from sklearn.metrics import classification_report,confusion_matrix
import pickle
cv2.namedWindow("p... | Python | zaydzuhri_stack_edu_python |
class Employee
begin
function __init__ self employee_id first_name last_name
begin
set employee_id = employee_id
set first_name = first_name
set last_name = last_name
end function
function __str__ self
begin
return string employee ID: { employee_id } , first name: { first_name } , last name: { last_name }
end function
... | class Employee:
def __init__(self, employee_id: int, first_name: str, last_name: str):
self.employee_id = employee_id
self.first_name = first_name
self.last_name = last_name
def __str__(self):
return f"employee ID: {self.employee_id}, first name: {self.first_name}, last name: {... | Python | zaydzuhri_stack_edu_python |
function postal_code self postal_code
begin
if postal_code is not none and length postal_code > 20
begin
comment noqa: E501
raise call ValueError string Invalid value for `postal_code`, length must be less than or equal to `20`
end
set _postal_code = postal_code
end function | def postal_code(self, postal_code):
if postal_code is not None and len(postal_code) > 20:
raise ValueError("Invalid value for `postal_code`, length must be less than or equal to `20`") # noqa: E501
self._postal_code = postal_code | Python | nomic_cornstack_python_v1 |
import os
import sys
from clustering_part2 import similarity
import nltk
from nltk.corpus import stopwords
set ROOT = absolute path path string %s/../.. % absolute path path directory name path __file__
append path ROOT
set environ at string DJANGO_SETTINGS_MODULE = string confo.settings
from django.core.management imp... | import os
import sys
from clustering_part2 import similarity
import nltk
from nltk.corpus import stopwords
ROOT = os.path.abspath('%s/../..' % os.path.abspath(os.path.dirname(__file__)))
sys.path.append(ROOT)
os.environ['DJANGO_SETTINGS_MODULE'] = 'confo.settings'
from django.core.management import setup_environ
from ... | Python | zaydzuhri_stack_edu_python |
function _wrap_rest_data self data
begin
if is instance data dict
begin
return call _wrap_rest_data_one data
end
if not is instance data list
begin
raise call RuntimeError string Result data must be a dict or a list: '%s' was returned % type data
end
set objs = list
for item in data
begin
append objs call _wrap_rest_d... | def _wrap_rest_data(self, data):
if isinstance(data, dict):
return self._wrap_rest_data_one(data)
if not isinstance(data, list):
raise RuntimeError("Result data must be a dict or a list: '%s' was returned" % type(data))
objs = []
for item in data:
ob... | Python | nomic_cornstack_python_v1 |
function create_credential account_Name user_Name user_Password
begin
set new_credential = call Credentials account_Name user_Name user_Password
comment create Credentials object
return new_credential
end function | def create_credential(account_Name, user_Name, user_Password):
new_credential = Credentials(
account_Name, user_Name, user_Password) # create Credentials object
return new_credential | Python | nomic_cornstack_python_v1 |
function test_create_displays_success_message create_template mocker
begin
set message = string create display message
patch string app.cli.create_template return_value=dict string msg message
set template_name = string flask-app
set response = call create_template list string -n template_name
assert exit_code == 0
ass... | def test_create_displays_success_message(create_template, mocker):
message = 'create display message'
mocker.patch('app.cli.create_template', return_value={'msg': message})
template_name = 'flask-app'
response = create_template(["-n", template_name])
assert response.exit_code == 0
assert messag... | Python | nomic_cornstack_python_v1 |
function test_suite
begin
call test call is_palindrome string abba
call test not call is_palindrome string abab
call test call is_palindrome string tenet
call test not call is_palindrome string banana
call test call is_palindrome string straw warts
call test call is_palindrome string a
end function | def test_suite():
test(is_palindrome("abba"))
test(not is_palindrome("abab"))
test(is_palindrome("tenet"))
test(not is_palindrome("banana"))
test(is_palindrome("straw warts"))
test(is_palindrome("a")) | Python | nomic_cornstack_python_v1 |
function label_experiment self exp_id
begin
set exp = call experiment new_experiment=false ts=string exp_id
set label = get form string label
call update_metadata change_label=true label=label
return string OK
end function | def label_experiment(self, exp_id):
exp = experiment.experiment(new_experiment=False, ts=str(exp_id))
label = request.form.get('label')
exp.update_metadata(change_label=True, label=label)
return "OK" | Python | nomic_cornstack_python_v1 |
function channelport self
begin
try
begin
return _channelport
end
except Exception as e
begin
raise e
end
end function | def channelport(self) :
try :
return self._channelport
except Exception as e:
raise e | Python | nomic_cornstack_python_v1 |
function move self partition source dest
begin
string Return a new state that is the result of moving a single partition. :param partition: The partition index of the partition to move. :param source: The broker index of the broker to move the partition from. :param dest: The broker index of the broker to move the part... | def move(self, partition, source, dest):
"""Return a new state that is the result of moving a single partition.
:param partition: The partition index of the partition to move.
:param source: The broker index of the broker to move the partition
from.
:param dest: The broker i... | Python | jtatman_500k |
import json
import numpy as np
from keras.models import load_model
import heapq
from nltk.tokenize import RegexpTokenizer
set SEQUENCE_LENGTH = 3
set SENTENCE_LENGTH = 10
set tokenizer = call RegexpTokenizer string \w+
with open string data/vocab.json as f
begin
set unique_words = load json f
end
set model = call load_... | import json
import numpy as np
from keras.models import load_model
import heapq
from nltk.tokenize import RegexpTokenizer
SEQUENCE_LENGTH = 3
SENTENCE_LENGTH = 10
tokenizer = RegexpTokenizer(r'\w+')
with open('data/vocab.json') as f:
unique_words = json.load(f)
model = load_model('saved_models/word_prediction.h5... | Python | zaydzuhri_stack_edu_python |
import sqlite3
from sklearn.mixture import GaussianMixture
import numpy as np
set db_name = string data/almgsi_mc_sgc.db
function get_data
begin
set con = call connect db_name
set cur = call cursor
set sql = string SELECT Al_conc,Mg_conc,Si_conc,mu_c1_0,mu_c1_1,mu_c1_2
set sql = sql + string FROM random_direction_sa WH... | import sqlite3
from sklearn.mixture import GaussianMixture
import numpy as np
db_name = "data/almgsi_mc_sgc.db"
def get_data():
con = sqlite3.connect(db_name)
cur = con.cursor()
sql = "SELECT Al_conc,Mg_conc,Si_conc,mu_c1_0,mu_c1_1,mu_c1_2 "
sql += "FROM random_direction_sa WHERE temperature=200"
... | Python | zaydzuhri_stack_edu_python |
while true
begin
set key = input message_key
if key == string end
begin
break
end
set value = input message_value
if value == string end
begin
break
end
set dict_1 at key = value
end
print string Create dict2:
while true
begin
set key = input message_key
if key == string end
begin
break
end
set value = input message_va... | while True:
key = input(message_key)
if key == 'end':
break
value = input(message_value)
if value == 'end':
break
dict_1[key] = value
print("Create dict2: ")
while True:
key = input(message_key)
if key == 'end':
break
value = input(message_value)
if v... | Python | zaydzuhri_stack_edu_python |
function save_to_matlab output_file x y x_special
begin
call savemat output_file dictionary x=x y=y x_special=x_special
end function | def save_to_matlab(output_file,x,y,x_special):
savemat(output_file,dict(x=x,y=y,x_special=x_special)) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Thu Feb 21 17:46:58 2019 @author: pan
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Sat Jul 28 16:28:46 2018 @author: pan
from time import time
import numpy as np
import pandas as pd
from sklearn import svm
fro... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 21 17:46:58 2019
@author: pan
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 28 16:28:46 2018
@author: pan
"""
from time import time
import numpy as np
import pandas as pd
from sklearn import svm
from sklearn.model_select... | Python | zaydzuhri_stack_edu_python |
function __unicode__ self
begin
return name
end function | def __unicode__(self):
return self.name | Python | nomic_cornstack_python_v1 |
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