code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function read_sp2 file_name debug=false arm_convention=true
begin
set my_data = read open file_name string rb
comment Get file date from name
if call system == string Windows
begin
set split_file_name = split file_name string \
end
else
begin
set split_file_name = split file_name string /
end
if arm_convention
begin
se... | def read_sp2(file_name, debug=False, arm_convention=True):
my_data = open(file_name, "rb").read()
# Get file date from name
if platform.system() == "Windows":
split_file_name = file_name.split("\\")
else:
split_file_name = file_name.split("/")
if arm_convention:
next_split =... | Python | nomic_cornstack_python_v1 |
function _prepare_meta meta
begin
assert meta is not none
set r = list
for tuple k v in meta
begin
if v is none
begin
append r tuple k none none
end
else
if has attribute v string _get_uriref
begin
append r tuple k call _get_uriref true
end
else
begin
append r tuple k call unicode v false
end
end
return r
end function | def _prepare_meta(meta):
assert meta is not None
r = []
for k,v in meta:
if v is None:
r.append((k, None, None))
elif hasattr(v, "_get_uriref"):
r.append((k, v._get_uriref(), True))
else:
r.append((k, unicode(v), False))
return r | Python | nomic_cornstack_python_v1 |
function __le__ self *args
begin
return call var_ref_t___le__ self *args
end function | def __le__(self, *args):
return _ida_hexrays.var_ref_t___le__(self, *args) | Python | nomic_cornstack_python_v1 |
function day self
begin
return get pulumi self string day
end function | def day(self) -> Optional[pulumi.Input[Union[str, 'WeekDay']]]:
return pulumi.get(self, "day") | Python | nomic_cornstack_python_v1 |
function local_ports self
begin
return call PortSet *[p.local_port if p is not None else None for p in self]
end function | def local_ports(self):
return PortSet(*[p.local_port if p is not None else None for p in self]) | Python | nomic_cornstack_python_v1 |
comment Challenge 1:
comment Uncomment the following code. Check that it is correctly creating a file.
write open string myfile.txt string w+ string Hello file world!
comment Challenge 2:
comment First, store in a variable the name of your favorite sports team (or movie).
comment Then, write the code necessary to write... | # Challenge 1:
# Uncomment the following code. Check that it is correctly creating a file.
open('myfile.txt', 'w+').write('Hello file world!')
# Challenge 2:
# First, store in a variable the name of your favorite sports team (or movie).
# Then, write the code necessary to write this data to a file called
# "sports_te... | Python | zaydzuhri_stack_edu_python |
function get_all_by_is_activated is_activated order_by_field=none
begin
set queryset = filter is_activated=is_activated
if order_by_field
begin
call order_by order_by_field
end
return queryset
end function | def get_all_by_is_activated(is_activated, order_by_field=None):
queryset = OaiRegistry.objects.filter(is_activated=is_activated)
if order_by_field:
queryset.order_by(order_by_field)
return queryset | Python | nomic_cornstack_python_v1 |
function multiplicacionmatricial matriz_1 matriz_2
begin
comment validar que los argumentos son un lista de lista
if call valMultiplicacionMatricial matriz_1 matriz_2 == true
begin
set matriz_3 = list
comment ij es un acumulador
set ij = 0
comment Crear la matriz donde se guardara el resultado de la multiplicacion mat... | def multiplicacionmatricial(matriz_1,matriz_2):
if valMultiplicacionMatricial(matriz_1,matriz_2) == True: #validar que los argumentos son un lista de lista
matriz_3 = []
ij = 0 # ij es un acumulador
for h in range(0,len(matriz_1)): #Crear la matriz donde se guardara el resultado de la multiplica... | Python | nomic_cornstack_python_v1 |
function compute_shap_values model data reference_data progress_callback=none
begin
comment ensure that sampling and SHAP value calculation is same for same data
with call temp_seed 0
begin
if progress_callback is none
begin
set progress_callback = dummy_callback
end
call progress_callback 0 string Computing explanatio... | def compute_shap_values(
model: Model,
data: Table,
reference_data: Table,
progress_callback: Callable = None,
) -> Tuple[List[np.ndarray], Table, np.ndarray, np.ndarray]:
# ensure that sampling and SHAP value calculation is same for same data
with temp_seed(0):
if progress_callback is N... | Python | nomic_cornstack_python_v1 |
function get_hardware_id
begin
try
begin
return strip stdout
end
except any
begin
info string Not Found
return - 1
end
end function | def get_hardware_id():
try:
return utils.run('crossystem hwid').stdout.strip()
except:
logging.info("Not Found")
return -1 | Python | nomic_cornstack_python_v1 |
from presidio.builders.presidio_dag_builder import PresidioDagBuilder
from presidio.builders.smart_model.smart_model_accumulate_operator_builder import SmartModelAccumulateOperatorBuilder
from presidio.builders.smart_model.smart_model_operator_builder import SmartModelOperatorBuilder
from presidio.utils.airflow.schedul... | from presidio.builders.presidio_dag_builder import PresidioDagBuilder
from presidio.builders.smart_model.smart_model_accumulate_operator_builder import SmartModelAccumulateOperatorBuilder
from presidio.builders.smart_model.smart_model_operator_builder import SmartModelOperatorBuilder
from presidio.utils.airflow.schedul... | Python | zaydzuhri_stack_edu_python |
string This function takes a list of stars with their respective distances and brightnesses and organizes them first by distance, then by apparent brightness, and finally by absolute brightness.
from pprint import pprint
comment Name, Distance, Apparent Brightness, Absolute Brightness
set stars = list tuple string Alph... | '''
This function takes a list of stars with their respective distances and brightnesses and organizes them first by distance, then by apparent brightness, and finally by absolute brightness.
'''
from pprint import pprint
#Name, Distance, Apparent Brightness, Absolute Brightness
stars = [
('Alpha Centauri A', 4.3,... | Python | zaydzuhri_stack_edu_python |
string Description Given n items with size Ai, an integer m denotes the size of a backpack. How full you can fill this backpack? Notice You can not divide any item into small pieces. Have you met this question in a real interview? Example If we have 4 items with size [2, 3, 5, 7], the backpack size is 11, we can select... | '''Description
Given n items with size Ai, an integer m denotes the size of a backpack. How full you can fill this backpack?
Notice
You can not divide any item into small pieces.
Have you met this question in a real interview?
Example
If we have 4 items with size [2, 3, 5, 7], the backpack size is 11, we can select... | Python | zaydzuhri_stack_edu_python |
import random
import numpy as np
from math import sqrt
from copy import deepcopy
comment TODO
comment инициализация
comment мутация
function fitness_function list_of_x
begin
set fit_val = 0
for x in list_of_x
begin
set fit_val = fit_val + x at 0 ^ 2
end
return fit_val
end function
function random_double min_x max_x
beg... | import random
import numpy as np
from math import sqrt
from copy import deepcopy
# TODO
# инициализация
# мутация
def fitness_function(list_of_x):
fit_val = 0
for x in list_of_x:
fit_val += x[0] ** 2
return fit_val
def random_double(min_x, max_x):
return round(random.uniform(min_x, max_x), ... | Python | zaydzuhri_stack_edu_python |
function SimpsonOneThird self l u n Fxdx
begin
set wd = u - l
set f0 = call Fxdx l
set f11 = 0
set f12 = 0
for i in range 1 n
begin
set l = l + wd / n
if i % 2 == 0
begin
set f12 = f12 + call Fxdx l
end
else
begin
set f11 = f11 + call Fxdx l
end
end
if n == 1
begin
set f11 = call Fxdx l + wd / 2
set n = 2
end
set f2 = ... | def SimpsonOneThird(self, l, u, n, Fxdx):
wd = u - l
f0 = Fxdx(l)
f11 = 0
f12 = 0
for i in range(1,n):
l += wd / n
if (i % 2 == 0):
f12 += Fxdx(l)
else:
f11 += Fxdx(l)
if (n == 1):
f11 = Fxdx... | Python | nomic_cornstack_python_v1 |
function _make_fc_layers self in_channels fc_channels dropout_indices norm_cfg out_channels=none
begin
set fc_layers = list
set pre_channel = in_channels
for k in range length fc_channels
begin
append fc_layers call ConvModule pre_channel fc_channels at k kernel_size=tuple 1 1 stride=tuple 1 1 norm_cfg=norm_cfg conv_c... | def _make_fc_layers(self,
in_channels: int,
fc_channels: list,
dropout_indices: list,
norm_cfg: dict,
out_channels: Optional[int] = None) -> torch.nn.Module:
fc_layers = []
pre_channel... | Python | nomic_cornstack_python_v1 |
class Token
begin
function __init__ self type value
begin
set type = type
set value = value
end function
function __str__ self
begin
return format string Token({type},{value}) type=type value=value
end function
function __expr__ self
begin
return call __str__
end function
end class
class Interpreter
begin
function __in... | class Token:
def __init__(self, type, value):
self.type = type
self.value = value
def __str__(self):
return "Token({type},{value})".format(type=self.type,value=self.value)
def __expr__(self):
return self.__str__()
class Interpreter:
def __init__(self, text):
se... | Python | zaydzuhri_stack_edu_python |
comment f = open('this.rb', 'w')
comment f.write('I am this file\n this is good') # thus we can creat a text or read in binary or rb
with open string this.rb as f
begin
set content = read f
end
with open string copy.rb string w as f
begin
write f content
end | # f = open('this.rb', 'w')
# f.write('I am this file\n this is good') # thus we can creat a text or read in binary or rb
with open('this.rb') as f:
content = f.read()
with open('copy.rb', 'w') as f:
f.write(content)
| Python | zaydzuhri_stack_edu_python |
function forward_with_grad self z t grad_outputs
begin
set batch_size = shape at 0
set out = call forward z t
set a = grad_outputs
set tuple adfdz adfdt *adfdp = grad autograd tuple out tuple z t + tuple parameters self grad_outputs=a allow_unused=true retain_graph=true
comment grad method automatically sums gradients ... | def forward_with_grad(self, z, t, grad_outputs):
batch_size = z.shape[0]
out = self.forward(z, t)
a = grad_outputs
adfdz, adfdt, *adfdp = torch.autograd.grad(
(out,), (z, t) + tuple(self.parameters()), grad_outputs=(a),
allow_unused=True, retain_graph=True
... | Python | nomic_cornstack_python_v1 |
function show_board self boardID
begin
return get app string /board/ + boardID follow_redirects=true
end function | def show_board(self, boardID):
return self.app.get('/board/' + boardID, follow_redirects = True) | Python | nomic_cornstack_python_v1 |
function time_str
begin
set curr_date = now
return string format time curr_date string %Y%m%d_%H%M%S
end function | def time_str():
curr_date = datetime.datetime.now()
return curr_date.strftime('%Y%m%d_%H%M%S') | Python | nomic_cornstack_python_v1 |
comment -*- coding:utf-8 -*-
comment https://cuiqingcai.com/990.html
import urllib
import urllib2
import re
import json
class QSBK
begin
function __init__ self
begin
set pageIndex = 1
set user_agent = string Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)
set headers = dict string User-Agent user_agent
set stories = lis... | # -*- coding:utf-8 -*-
# https://cuiqingcai.com/990.html
import urllib
import urllib2
import re
import json
class QSBK:
def __init__(self):
self.pageIndex = 1
self.user_agent = 'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)'
self.headers = {'User-Agent': self.user_agent}
self.stories = []
self.enable = Fa... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment coding: utf-8
comment In[1]:
import requests
from bs4 import BeautifulSoup
comment In[3]:
set url = string https://scraping-for-beginner.herokuapp.com/ranking/
set res = get requests url
comment In[46]:
set soup = call BeautifulSoup text string html.parser
comment In[47]:
comment 観光... | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import requests
from bs4 import BeautifulSoup
# In[3]:
url = 'https://scraping-for-beginner.herokuapp.com/ranking/'
res = requests.get(url)
# In[46]:
soup = BeautifulSoup(res.text, 'html.parser')
# In[47]:
# 観光地情報の取得
spots = soup.find_all('div', attrs={'clas... | Python | zaydzuhri_stack_edu_python |
function rsa_decryption data type user=string
begin
if type == string server
begin
set server_private_key = call importKey read open string server_private.pem
set plain = call new server_private_key
set decrypt = call decrypt data
set un_hex = call unhexlify decrypt
set un_dec = decode un_hex
return un_dec
end
else
com... | def rsa_decryption(data, type, user=''):
if type == 'server':
server_private_key = RSA.importKey(open("server_private.pem").read())
plain = PKCS1_OAEP.new(server_private_key)
decrypt = plain.decrypt(data)
un_hex = binascii.unhexlify(decrypt)
un_dec = un_hex.decode()
... | Python | nomic_cornstack_python_v1 |
function _deduce_security kwargs
begin
comment Security should be one of our valid strings
set sec_translation = dict string wpa-psk WPA_PSK ; string none NONE ; string wpa-eap WPA_EAP
if not get kwargs string securityType
begin
if get kwargs string psk and get kwargs string eapConfig
begin
raise call ConfigureArgsErro... | def _deduce_security(kwargs) -> nmcli.SECURITY_TYPES:
# Security should be one of our valid strings
sec_translation = {
'wpa-psk': nmcli.SECURITY_TYPES.WPA_PSK,
'none': nmcli.SECURITY_TYPES.NONE,
'wpa-eap': nmcli.SECURITY_TYPES.WPA_EAP,
}
if not kwargs.get('securityType'):
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import sys
from sklearn.ensemble import RandomForestClassifier
import numpy as np
import pickle as pickle
import base64
import csv
function CreateTestDataArray
begin
comment open the test train_data set
set csv_test_object = reader open string ./test_clean.csv string rb
set header = next
co... | #!/usr/bin/env python
import sys
from sklearn.ensemble import RandomForestClassifier
import numpy as np
import pickle as pickle
import base64
import csv
def CreateTestDataArray():
#open the test train_data set
csv_test_object = csv.reader(open('./test_clean.csv', 'rb'))
header = csv_test_object.next()
... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from diagnnose.activations.activation_reader import ActivationReader
from diagnnose.typedefs.activations import ActivationName
from diagnnose.typedefs.classifiers import DataDict
from diagnnose.typedefs.corpus import Corpus
class DataLoader
begin
string Reads in pickled activations that have been ext... | import numpy as np
from diagnnose.activations.activation_reader import ActivationReader
from diagnnose.typedefs.activations import ActivationName
from diagnnose.typedefs.classifiers import DataDict
from diagnnose.typedefs.corpus import Corpus
class DataLoader:
""" Reads in pickled activations that have been extr... | Python | zaydzuhri_stack_edu_python |
function constituentReport self
begin
from armi.utils import iterables
set rows = list list string Constituent string HMFrac string FuelFrac
set columns = list - 1 call getHMMass call getFuelMass
for base_ele in list string U string PU
begin
set total = sum list comprehension call getMass name for nuclide in bySymbol a... | def constituentReport(self):
from armi.utils import iterables
rows = [["Constituent", "HMFrac", "FuelFrac"]]
columns = [-1, self.getHMMass(), self.getFuelMass()]
for base_ele in ["U", "PU"]:
total = sum(
[self.getMass(nuclide.name) for nuclide in elements.by... | Python | nomic_cornstack_python_v1 |
function dimensionNames self
begin
string Returns a list with the dimension names of the underlying NCDF variable
set nSubDims = length _subArrayShape
set subArrayDims = list comprehension format string SubDim{} dimNr for dimNr in range nSubDims
return list dimensions + tuple subArrayDims
end function | def dimensionNames(self):
""" Returns a list with the dimension names of the underlying NCDF variable
"""
nSubDims = len(self._subArrayShape)
subArrayDims = ['SubDim{}'.format(dimNr) for dimNr in range(nSubDims)]
return list(self._ncVar.dimensions + tuple(subArrayDims)) | Python | jtatman_500k |
string Implemention of linked list for graphs
class ll_node
begin
function __init__ self key
begin
set data = key
set next = none
set adj = none
end function
function print_ll self node=none end=string
begin
if node == none
begin
return
end
set item = node
while item != none
begin
print data end=end
set item = next
end... | """ Implemention of linked list for graphs
"""
class ll_node:
def __init__(self, key):
self.data = key
self.next = None
self.adj = None
def print_ll(self, node = None, end = '\n'):
if node == None:
return
item = node
while item != No... | Python | zaydzuhri_stack_edu_python |
function bubble_sort arr
begin
set arr_len = length arr
for i in range arr_len - 1 0 - 1
begin
for j in range i
begin
if arr at j > arr at j + 1
begin
set tuple arr at j arr at j + 1 = tuple arr at j + 1 arr at j
end
end
end
return arr
end function | def bubble_sort(arr):
arr_len = len(arr)
for i in range(arr_len - 1, 0, -1):
for j in range(i):
if arr[j] > arr[j + 1]:
arr[j], arr[j + 1] = arr[j + 1], arr[j]
return arr | Python | nomic_cornstack_python_v1 |
function prep_file filename dialect key_cols temp_dir out_dir already_sorted already_uniq
begin
set dups_removed = 0
comment Sort the file if necessary
if already_sorted
begin
if has_header
begin
call abort string Invalid config: already_sorted and has-header
end
set sorted_fn = filename
end
else
if quoting == QUOTE_NO... | def prep_file(filename: str,
dialect: csvhelper.Dialect,
key_cols: List[int],
temp_dir: str,
out_dir: str,
already_sorted: bool,
already_uniq: bool) -> Tuple[str, int]:
dups_removed = 0
# Sort the file if necessary
if alrea... | Python | nomic_cornstack_python_v1 |
function create_cpix_xarray self dummy_value=none
begin
set ref_jd = jds at ref_band at ref_frame
comment any radius will do
set radius = radii at ref_band at 0
set d = data at ref_band at radius at ref_jd
if dummy_value is none
begin
set cen = d at list string xcen string ycen
end
else
begin
set cen = call full shape ... | def create_cpix_xarray(self, dummy_value=None):
ref_jd = self.jds[self.ref_band][self.ref_frame]
radius = self.radii[self.ref_band][0] #any radius will do
d = self.data[self.ref_band][radius][ref_jd]
if dummy_value is None:
cen = d[['xcen','ycen']]
else:
c... | Python | nomic_cornstack_python_v1 |
string This is a program using Simpsons rule to integrate the function x^4 - 2x+1
function function x
begin
return x ^ 4 - 2 * x + 1
end function
set N = 10000
set a = 0.0
set b = 2.0
function simpsons f a b N
begin
set h = b - a / N
set __sum__ = 0
set __sum__ = f dist a + f dist b
for m in range 1 integer N / 2
begin... | """
This is a program using Simpsons rule to integrate
the function x^4 - 2x+1
"""
def function(x):
return (x**4) - (2*x) + 1
N = 10000
a = 0.0
b = 2.0
def simpsons(f, a,b,N):
h = (b-a)/N
__sum__ = 0
__sum__ = f(a) + f(b)
for m in range(1,int( N/2)):
__sum__ += 4*f( a + ((2*m) -1)*h)
... | Python | zaydzuhri_stack_edu_python |
import streamlit as st
import datetime
from business.control.src.manager import UserManager
class Proxy extends UserManager
begin
function __init__ self logged users
begin
set __logged = logged
set users = users
end function
function list_by_alphabet self
begin
if __logged
begin
set lista = list
set lista = sorted key... | import streamlit as st
import datetime
from business.control.src.manager import UserManager
class Proxy(UserManager):
def __init__(self, logged, users):
self.__logged = logged
self.users = users
def list_by_alphabet(self):
if self.__logged:
lista = []
... | Python | zaydzuhri_stack_edu_python |
from bs4 import BeautifulSoup
import requests
import urllib.request as urllib2
import json
import argparse
import re
function getSongsFromWeb download_list api_token download_dir
begin
with open download_list as file
begin
for song in file
begin
call getSongFromWeb strip song api_token download_dir
end
end
end function... | from bs4 import BeautifulSoup
import requests
import urllib.request as urllib2
import json
import argparse
import re
def getSongsFromWeb(download_list, api_token, download_dir):
with open(download_list) as file:
for song in file:
getSongFromWeb(song.strip(), api_token, download_dir)
def getSo... | Python | zaydzuhri_stack_edu_python |
function print_zero_pattern n
begin
if n % 2 == 0
begin
set n = n + 1
end
for i in range n
begin
if i == n // 2
begin
print string * * n
end
else
begin
set pattern = string * * n - 1 // 2 - absolute i - n // 2
set pattern = pattern + string _ * n - length pattern
print pattern
end
end
end function
comment Test the func... | def print_zero_pattern(n):
if n % 2 == 0:
n += 1
for i in range(n):
if i == n // 2:
print("*" * n)
else:
pattern = "*" * ((n - 1) // 2 - abs(i - n // 2))
pattern += "_" * (n - len(pattern))
print(pattern)
# Test the function
n = 7
print_ze... | Python | jtatman_500k |
for number in numbers
begin
set sum = sum + integer number
end
print sum | for number in numbers:
sum += int(number)
print(sum)
| Python | zaydzuhri_stack_edu_python |
function bin_search left right x
begin
while right - left > 1
begin
set m = right + left // 2
if vid at m < x
begin
set left = m
end
else
begin
set right = m
end
end
return vid at right
end function
for x in know
begin
if call bin_search 0 length vid - 1 x == x
begin
print string YES file=fout
end
else
begin
print stri... | def bin_search(left, right, x):
while (right - left) > 1:
m = (right + left) // 2
if vid[m] < x:
left = m
else:
right = m
return vid[right]
for x in know:
if bin_search(0, len(vid) - 1, x) == x:
print('YES', file=fout)
else:
... | Python | zaydzuhri_stack_edu_python |
comment for objects
function func1 **fruits
begin
print string orange in fruits
print fruits
end function
call func1 banana=10 orange=20 | # for objects
def func1(**fruits):
print('orange' in fruits)
print(fruits)
func1(banana=10, orange=20)
| Python | zaydzuhri_stack_edu_python |
from pathlib import Path
import numpy as np
from functools import partial
from keras.preprocessing.image import img_to_array
from osgeo import gdal_array
from PIL import Image
set repo_dir = parents at 1
set data_dir = repo_dir / string data
set input_suffix = string input
set pred_suffix = string pred
set valid_suffix... | from pathlib import Path
import numpy as np
from functools import partial
from keras.preprocessing.image import img_to_array
from osgeo import gdal_array
from PIL import Image
repo_dir = Path(__file__).parents[1]
data_dir = repo_dir / 'data'
input_suffix = 'input'
pred_suffix = 'pred'
valid_suffix = 'valid'
modis_p... | Python | zaydzuhri_stack_edu_python |
function login_parameters self
begin
return get pulumi self string login_parameters
end function | def login_parameters(self) -> Optional[Mapping[str, str]]:
return pulumi.get(self, "login_parameters") | Python | nomic_cornstack_python_v1 |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import matplotlib.patches as mpatches
from matplotlib.lines import Line2D
import lib.GNIP as gnip
from scipy import stats
function read_excel_old filename
begin
set columns = dictionary zip list string sample... | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
import matplotlib.patches as mpatches
from matplotlib.lines import Line2D
import lib.GNIP as gnip
from scipy import stats
def read_excel_old(filename):
columns = dict(zip(["sample name","d.18O"],[0,1]))
d... | Python | zaydzuhri_stack_edu_python |
comment requests 라이브러리 가져오기
import requests
comment 크롤링을 쉽게 해주는 라이브러리
from bs4 import BeautifulSoup
from pprint import pprint
comment pymongo를 임포트 하기
from pymongo import MongoClient
comment mongoDB는 27017 포트로 돌아갑니다.
set client = call MongoClient string localhost 27017
comment 'dbsparta'라는 이름의 db를 만듭니다.
set db = dbspart... | import requests #requests 라이브러리 가져오기
from bs4 import BeautifulSoup #크롤링을 쉽게 해주는 라이브러리
from pprint import pprint
from pymongo import MongoClient # pymongo를 임포트 하기
client = MongoClient('localhost', 27017) # mongoDB는 27017 포트로 돌아갑니다.
db = client.dbsparta # 'dbsparta'라는 이름의 db를 만듭니다.
# 타겟 u... | Python | zaydzuhri_stack_edu_python |
function path_condition self
begin
return call EAll call path_conditions
end function | def path_condition(self) -> Exp:
return EAll(self.path_conditions()) | Python | nomic_cornstack_python_v1 |
comment this program demonstrates how a floating-point number can be displayed as currency
comment Filename:dollar_display_AngelSR.py
comment Date:02/02/2018
set monthlyPay = 5000.0
set annualPay = monthlyPay * 12
print string Your annual pay is $ format annualPay string ,.2f sep=string
comment sep argument | #this program demonstrates how a floating-point number can be displayed as currency
#Filename:dollar_display_AngelSR.py
#Date:02/02/2018
monthlyPay= 5000.0
annualPay= monthlyPay * 12
print('Your annual pay is $', \
format(annualPay, ',.2f'), \
sep = ' ') #sep argument
| Python | zaydzuhri_stack_edu_python |
function get_value_list self volume_values time_period=12
begin
set df = call DataFrame dict string volume volume_values
set df at string prev_volume = call shift time_period
set rocv_values = df at string volume - df at string prev_volume / df at string prev_volume * 100
set df = call DataFrame none
return rocv_values... | def get_value_list(self, volume_values: pd.Series, time_period: int = 12):
self.df = pd.DataFrame({
"volume": volume_values
})
self.df["prev_volume"] = self.df["volume"].shift(time_period)
rocv_values = (self.df["volume"] - self.df["prev_volume"]
) / se... | Python | nomic_cornstack_python_v1 |
function debug self
begin
return _debug
end function | def debug(self):
return self._debug | Python | nomic_cornstack_python_v1 |
for node in keys adjList
begin
set color at node = string W
set parent at node = none
end
function dfs u
begin
set color at u = string G
for v in adjList at u
begin
if color at v == string W
begin
set parent at v = u
call dfs v
end
else
if color at v == string G and parent at u != v
begin
print string Cycle Found: u st... | for node in adjList.keys():
color[node]="W"
parent[node]=None
def dfs(u):
color[u]="G"
for v in adjList[u]:
if color[v]=="W":
parent[v]=u
dfs(v)
elif color[v]=="G" and parent[u]!=v:
print("Cycle Found: ", u, "to", v)
color[u]="B"
... | Python | zaydzuhri_stack_edu_python |
from gurobipy import *
from vehicle import Vehicle
from obstacle import Obstacle
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon , Rectangle , Circle
from grid_map import GridMap
from grid_based_sweep_coverage_path_planner import planning
from tools import define_polygon , polygon_contains_point
... | from gurobipy import *
from vehicle import Vehicle
from obstacle import Obstacle
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon, Rectangle, Circle
from grid_map import GridMap
from grid_based_sweep_coverage_path_planner import planning
from tools import define_polygon, polygon_contains_point
imp... | Python | zaydzuhri_stack_edu_python |
function normalize_minmax x min_r max_r
begin
set x_s = list comprehension i - min x / max x - min x for i in x
return list comprehension i * max_r - min_r + min_r for i in x_s
end function | def normalize_minmax(x, min_r, max_r):
x_s = [(i - min(x))/(max(x) - min(x)) for i in x]
return [i * (max_r - min_r) + min_r for i in x_s] | Python | nomic_cornstack_python_v1 |
function get_sex_value sex_dict
begin
set sex_values = call get_value_from_radio_button_list values sex_dict
return call convert_sex_to_db_form sex_values at 0 sex_values at 1
end function | def get_sex_value(sex_dict):
sex_values = get_value_from_radio_button_list(sex_dict.values())
return db_data_converter.convert_sex_to_db_form(sex_values[0], sex_values[1]) | Python | nomic_cornstack_python_v1 |
import cx_Oracle
import os
comment 建立和数据库系统的连接
set conn = call connect string tdm8032/sa@orcl
comment 获取操作游标
set cursor = call cursor
execute cursor string select * from dps_user
set one = call fetchone
print one
comment print ('1: id:%s,username:%s,password:%s' % one)
comment 获取3条记录!!!注意游标已经到了第二条
set two = call fetchm... | import cx_Oracle
import os
#建立和数据库系统的连接
conn = cx_Oracle.connect('tdm8032/sa@orcl')
#获取操作游标
cursor = conn.cursor()
cursor.execute("""select * from dps_user""")
one = cursor.fetchone()
print (one)
# print ('1: id:%s,username:%s,password:%s' % one)
# 获取3条记录!!!注意游标已经到了第二条
two = cursor.fetchmany(3)
print ('2 and 3:', tw... | Python | zaydzuhri_stack_edu_python |
function test_stochatreat_output_treat_col treatments_dict
begin
set treatments_df = treatments_dict at string treatments
assert string treat in columns msg string Treatment column is missing
end function | def test_stochatreat_output_treat_col(treatments_dict):
treatments_df = treatments_dict["treatments"]
assert "treat" in treatments_df.columns, "Treatment column is missing" | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Thu Mar 14 16:20:23 2019 @author: Giannis Meleziadis Compiled and run in python 3.7.1 This program finds a superpermutation from a sequence of numbers (1...n) where n is given. For n equal to [1-4] this program produces the minimum superpermutation that contains all the p... | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 14 16:20:23 2019
@author: Giannis Meleziadis
Compiled and run in python 3.7.1
This program finds a superpermutation from a sequence of numbers (1...n) where
n is given. For n equal to [1-4] this program produces the minimum superpermutation that
contains all ... | Python | zaydzuhri_stack_edu_python |
function _get_ethernet_tag self
begin
return __ethernet_tag
end function | def _get_ethernet_tag(self):
return self.__ethernet_tag | Python | nomic_cornstack_python_v1 |
function test_many_services self
begin
with call DiagsCollector
begin
call calicoctl string apply -f - << EOF apiVersion: projectcalico.org/v3 kind: BGPConfiguration metadata: name: default spec: serviceClusterIPs: - cidr: fd00:10:96::/112 EOF
comment Assert that a route to the service IP range is present.
call retry_u... | def test_many_services(self):
with DiagsCollector():
calicoctl("""apply -f - << EOF
apiVersion: projectcalico.org/v3
kind: BGPConfiguration
metadata:
name: default
spec:
serviceClusterIPs:
- cidr: fd00:10:96::/112
EOF
""")
# Assert that a route to the service IP range is present.... | Python | nomic_cornstack_python_v1 |
set N = integer input
set A_list = list map int split input
print 1 / sum list comprehension 1 / a for a in A_list | N = int(input())
A_list = list(map(int, input().split()))
print(1 / sum([1 / a for a in A_list]))
| Python | zaydzuhri_stack_edu_python |
import numpy as np
import sympy as sym
import matplotlib.pyplot as plt
set xi = array list 100 200 300 600 400 500
set fi = array list - 160 - 35 - 4.2 21.3 9.0 16.9
comment PROCEDIMIENTO
comment Tabla de Diferencias Divididas Avanzadas
set titulo = list string i string xi string fi
set n = length xi
set ki = array ran... | import numpy as np
import sympy as sym
import matplotlib.pyplot as plt
xi = np.array([100, 200, 300, 600, 400, 500])
fi = np.array([-160, -35, -4.2, 21.3, 9.0, 16.9])
# PROCEDIMIENTO
# Tabla de Diferencias Divididas Avanzadas
titulo = ['i ','xi ','fi ']
n = len(xi)
ki = np.arange(0,n,1)
tabla = np.concatenate(([... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/evn python
comment -*- coding:utf-8 -*-
comment FileName HandleJson.py
comment Author: HeyNiu
comment Created Time: 20160728
string 处理json信息，用于后面response body字段比较（含字段类型）
import json
class HandleJson extends object
begin
function __init__ self
begin
set json_list = list
set time_param_list = list
end... | #!/usr/bin/evn python
# -*- coding:utf-8 -*-
# FileName HandleJson.py
# Author: HeyNiu
# Created Time: 20160728
"""
处理json信息，用于后面response body字段比较（含字段类型）
"""
import json
class HandleJson(object):
def __init__(self):
self.json_list = []
self.time_param_list = []
@staticmethod
def print_j... | Python | zaydzuhri_stack_edu_python |
function edit self **kwargs
begin
string Edit a library (Note: agent is required). See :class:`~plexapi.library.Library` for example usage. Parameters: kwargs (dict): Dict of settings to edit.
set part = string /library/sections/%s?%s % tuple key url encode kwargs
query _server part method=put
comment Reload this way s... | def edit(self, **kwargs):
""" Edit a library (Note: agent is required). See :class:`~plexapi.library.Library` for example usage.
Parameters:
kwargs (dict): Dict of settings to edit.
"""
part = '/library/sections/%s?%s' % (self.key, urlencode(kwargs))
self._se... | Python | jtatman_500k |
function __repr__ self
begin
return format string <Image img_id = {img_id} name = {img_name} found_id = {found_id} lost_id = {lost_id}> img_id=img_id found_id=found_id img_name=img_name lost_id=lost_id
end function | def __repr__(self):
return "<Image img_id = {img_id} name = {img_name} found_id = {found_id} lost_id = {lost_id}>".format(img_id=self.img_id,
found_id=self.found_id, img_name=self.img_name, lost_id=self.lost_id) | Python | nomic_cornstack_python_v1 |
comment Problem Set 2, hangman.py
comment Name: Eduard Tsakhlo
comment Collaborators:
comment Time spent: 4 hours 30 minutes
comment Hangman Game
comment -----------------------------------
comment Helper code
import random
from string import ascii_lowercase
set WORDLIST_FILENAME = string words.txt
function load_words
... | # Problem Set 2, hangman.py
# Name: Eduard Tsakhlo
# Collaborators:
# Time spent: 4 hours 30 minutes
# Hangman Game
# -----------------------------------
# Helper code
import random
from string import ascii_lowercase
WORDLIST_FILENAME = "words.txt"
def load_words():
"""
Returns a list of valid words. Words ... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python2
from itertools import permutations
function check s
begin
for tuple i d in enumerate list 1 2 3 5 7 11 13 17
begin
if integer join string s at slice i : i + 3 : % d != 0
begin
return false
end
end
return true
end function
set nums = list comprehension i for i in permutations string 0123456789... | #!/usr/bin/python2
from itertools import permutations
def check(s):
for i,d in enumerate([1,2,3,5,7,11,13,17]):
if int(''.join(s[i:i+3]))%d != 0:
return False
return True
nums = [i for i in permutations("0123456789") if i[0] != '0'] | Python | zaydzuhri_stack_edu_python |
function set_mock_return_value magic_mock return_value
begin
if __name__ == string AsyncMock
begin
comment Python 3.8 and above
set return_value = return_value
end
else
begin
async function coroutine *args **kwargs
begin
return return_value
end function
set return_value = call coroutine
end
end function | def set_mock_return_value(magic_mock: MagicMock, return_value: t.Any):
if magic_mock.__class__.__name__ == "AsyncMock":
# Python 3.8 and above
magic_mock.return_value = return_value
else:
async def coroutine(*args, **kwargs):
return return_value
magic_mock.return_va... | Python | nomic_cornstack_python_v1 |
from models import Profile
import re
class MainTest
begin
function __init__ self request
begin
set _request = request
comment self.user = request.user.id
set _data = none
set _fields = list string name string phone string company string address string email string gender
set __required = list string name string phone
s... | from models import Profile
import re
class MainTest():
def __init__(self, request):
self._request = request
#self.user = request.user.id
self._data = None
self._fields = ['name','phone','company','address','email','gender']
self.__required = ['name','phone']
self.res... | Python | zaydzuhri_stack_edu_python |
function run
begin
set myList = list string Ram string Hernán string Camila
set myDict = dict string name string Ramdhei ; string lastname string López Arcila
set super_list = list dict string name string Ramdhei ; string lastname string López Arcila dict string name string Laura ; string lastname string Quiceno Restre... | def run():
myList = ['Ram', 'Hernán', 'Camila']
myDict = {'name': 'Ramdhei', 'lastname': 'López Arcila'}
super_list = [
{'name': 'Ramdhei', 'lastname': 'López Arcila'},
{'name': 'Laura', 'lastname': 'Quiceno Restrepo'},
{'name': 'Valeria', 'lastname': 'Salazar Cardona'}
]
f... | Python | zaydzuhri_stack_edu_python |
import time
import Adafruit_BBIO.GPIO as GPIO
comment Note: Use P9_22(UART2_RXD) as GPIO.
comment Connect the Grove Button to UART Grove port of Beaglebone Green.
comment GPIO P9_22
set Button = string P9_22
setup GPIO Button IN | import time
import Adafruit_BBIO.GPIO as GPIO
# Note: Use P9_22(UART2_RXD) as GPIO.
# Connect the Grove Button to UART Grove port of Beaglebone Green.
Button = "P9_22" # GPIO P9_22
GPIO.setup(Button, GPIO.IN)
| Python | zaydzuhri_stack_edu_python |
comment ITP1_10-A Distance
set tuple x1 y1 x2 y2 = split input string
set x1 = decimal x1
set y1 = decimal y1
set x2 = decimal x2
set y2 = decimal y2
print x1 - x2 ^ 2.0 + y1 - y2 ^ 2.0 ^ 0.5 | #ITP1_10-A Distance
x1,y1,x2,y2 = input().split(" ")
x1=float(x1)
y1=float(y1)
x2=float(x2)
y2=float(y2)
print ( ((x1-x2)**2.0 + (y1-y2)**2.0 )**0.5) | Python | zaydzuhri_stack_edu_python |
comment !179646VO
import sys
set dataIn = read stdin
set data = split dataIn
del dataIn
set num = integer data at 0
set x = num * 2
set itemList = list | #!179646VO
import sys
dataIn = sys.stdin.read()
data = dataIn.split()
del dataIn
num = int(data[0])
x = num*2
itemList = [] | Python | zaydzuhri_stack_edu_python |
import numpy as np
comment Perform Thomas Algorithm
function Thomas_Algo L D U B
begin
set n = length L
set P = zeros n
set Q = zeros n
set P at 0 = D at 0
set Q at 0 = B at 0
for i in range 1 n
begin
set P at i = D at i - L at i * U at i - 1 / P at i - 1
end
for i in range 1 n
begin
set Q at i = B at i - L at i * Q at... | import numpy as np
def Thomas_Algo(L, D, U, B): #Perform Thomas Algorithm
n = len(L)
P = np.zeros(n)
Q = np.zeros(n)
P[0] = D[0]
Q[0] = B[0]
for i in range(1, n):
P[i] = D[i] - ((L[i]*U[i-1])/P[i-1])
for i in range(1, n):
Q[i] = B[i] - ((L[i]*Q[i-1])/... | Python | zaydzuhri_stack_edu_python |
function process_tr tr
begin
set data = find all tr string td
try
begin
set name_location = split text string @
set name = join string name_location at slice : 1 :
set location = join string name_location at slice 1 : 2 :
set date = text
set genre = text
set price_age = text
set organizer = text
set link = find tr s... | def process_tr(tr):
data = tr.find_all('td')
try:
name_location = (data[1].text).split('@ ')
name = ''.join(name_location[:1])
location = ''.join(name_location[1:2])
date = data[0].text
genre = data[2].text
price_age = data[3].text
organizer = data[4].te... | Python | nomic_cornstack_python_v1 |
import badge
import time
function cls
begin
for x in range width
begin
for y in range height
begin
call pixel x y 0
end
end
show screen
end function
function update xold yold xnew ynew bright
begin
comment set the old pixel to dark
call pixel xold yold 0
comment and the new one to light
call pixel xnew ynew 10
show scr... | import badge
import time
def cls():
for x in range(screen.width):
for y in range(screen.height):
screen.pixel(x, y, 0)
badge.show(screen)
def update(xold, yold, xnew, ynew, bright):
# set the old pixel to dark
screen.pixel(xold, yold, 0)
# and the new one to light
screen.... | Python | zaydzuhri_stack_edu_python |
comment print(a)
comment print(c)
for i in range m
begin
set d = c at i // a at 0
set b at i = d
for j in range n
begin
set c at i + j = c at i + j - d * a at j
end
end
comment print(c)
comment print(b)
comment print()
print *b[::-1] | #print(a)
#print(c)
for i in range(m):
d=c[i]//a[0]
b[i]=d
for j in range(n):
c[i+j]-=d*a[j]
#print(c)
#print(b)
#print()
print(*b[::-1])
| Python | zaydzuhri_stack_edu_python |
function samples self outputFile n=1
begin
try
begin
set d = call File outputFile string r at string chain
set X = array list comprehension d at i for i in zip *[np.random.randint(s, size=n) for s in d.shape[:2]]
return tuple X call _predict X
end
except KeyError
begin
info string Warning! No existing sampler
end
end f... | def samples(self, outputFile, n=1):
try:
d = h5py.File(outputFile, 'r')['chain']
X = np.array([d[i] for i in zip(*[np.random.randint(s, size=n) for s in d.shape[:2]]) ])
return (X, self._predict(X))
except KeyError:
logging.info('Warning! No existing samp... | Python | nomic_cornstack_python_v1 |
comment Perulangan / Pengulangan / Loop
print string Teguh
print string Teguh
print string Teguh
print string Teguh
print string Teguh
print string Teguh
print string Teguh
print string Teguh
print string Teguh
print string Teguh
comment increment itu penambahan 1 angka ke variabel
set i = 1
set i = i + 1
print string ... | # Perulangan / Pengulangan / Loop
print('Teguh')
print('Teguh')
print('Teguh')
print('Teguh')
print('Teguh')
print('Teguh')
print('Teguh')
print('Teguh')
print('Teguh')
print('Teguh')
# increment itu penambahan 1 angka ke variabel
i = 1
i += 1
print('Hasil increment = ',i)
# decrement itu pengurangan 1 angka ke vari... | Python | zaydzuhri_stack_edu_python |
function whoAreYou self
begin
set tempDict = dict
set tempDict at string Class = format string {0:15} __name__ + string from + join string list comprehension string base for base in __bases__
set tempDict at string Type = type
set tempDict at string Name = name
return tempDict
end function | def whoAreYou(self):
tempDict = {}
tempDict['Class'] = '{0:15}'.format(self.__class__.__name__) +' from '+' '.join([str(base) for base in self.__class__.__bases__])
tempDict['Type' ] = self.type
tempDict['Name' ] = self.name
return tempDict | Python | nomic_cornstack_python_v1 |
for linha in tabuleiro
begin
print linha
end | for linha in tabuleiro:
print(linha)
| Python | zaydzuhri_stack_edu_python |
function test_teacher_change_when_to_show_feedback_for_unopened_hw_8056 self
begin
set test_updates at string name = string t1.16.029 + co_name at slice 4 : :
set test_updates at string tags = list string t1 string t1.16 string t1.16.029 string 8056
set test_updates at string passed = false
comment Test steps and ver... | def test_teacher_change_when_to_show_feedback_for_unopened_hw_8056(self):
self.ps.test_updates['name'] = 't1.16.029' \
+ inspect.currentframe().f_code.co_name[4:]
self.ps.test_updates['tags'] = ['t1', 't1.16', 't1.16.029', '8056']
self.ps.test_updates['passed'] = False
# Tes... | Python | nomic_cornstack_python_v1 |
comment author: Ziming Guo
comment time: 2020/4/4
string dmeo03: select tcp 服务端 tcp 套接字 IO 并发模型 思路分析： 1）将关注的IO放入到监控列表中中 2）当 IO 就绪的时候会通过 select 返回 3）遍历返回值列表，然后得知哪个 IO 就绪，再进行处理
from socket import *
from select import select
comment 创建监听套接字作为关注的IO
comment 这个创建的监听套接字就是为了处理客户端的连接
set s = call socket
call setsockopt SOL_SOCK... | # author: Ziming Guo
# time: 2020/4/4
'''
dmeo03:
select tcp 服务端
tcp 套接字 IO 并发模型
思路分析：
1）将关注的IO放入到监控列表中中
2）当 IO 就绪的时候会通过 select 返回
3）遍历返回值列表，然后得知哪个 IO 就绪，再进行处理
'''
from socket import *
from select import select
# 创建监听套接字作为关注的IO
s = socket() # 这个创建的监听套接字就是为了处理客户端的连接
s.setsockopt(SOL_SOCKET... | Python | zaydzuhri_stack_edu_python |
function train_and_evaluate config workdir
begin
set ds_info = info
set num_train_examples = num_examples
comment TODO(marcvanzee): I added this so we can do a test that does only 1 train
comment step, but we should find a nicer way of doing this.
if string num_train_steps in config
begin
set num_train_steps = num_trai... | def train_and_evaluate(config: ml_collections.ConfigDict, workdir: str):
ds_info = tfds.builder(config.dataset_name).info
num_train_examples = ds_info.splits[tfds.Split.TRAIN].num_examples
# TODO(marcvanzee): I added this so we can do a test that does only 1 train
# step, but we should find a nicer way of doing... | Python | nomic_cornstack_python_v1 |
from keras.models import Sequential
import keras
import sys
from keras.preprocessing.image import ImageDataGenerator
from keras.layers.core import Dense , Dropout , Activation
from keras.layers import Conv2D , Flatten , MaxPooling2D , BatchNormalization
from keras.utils import np_utils
from math import floor
import pan... | from keras.models import Sequential
import keras
import sys
from keras.preprocessing.image import ImageDataGenerator
from keras.layers.core import Dense, Dropout, Activation
from keras.layers import Conv2D, Flatten, MaxPooling2D, BatchNormalization
from keras.utils import np_utils
from math import floor
import pandas a... | Python | zaydzuhri_stack_edu_python |
function verify self
begin
if string robot not in keys self
begin
raise exception string No Section 'robot' in RobotConfig
end
comment if "name" not in self["robot"]:
comment raise Exception("No robot.name specified in RobotConfig")
if string controller_file not in self at string robot
begin
raise exception string No r... | def verify(self):
if "robot" not in self.keys():
raise Exception("No Section 'robot' in RobotConfig")
# if "name" not in self["robot"]:
# raise Exception("No robot.name specified in RobotConfig")
if "controller_file" not in self['robot']:
raise Exception("No r... | Python | nomic_cornstack_python_v1 |
function squarem init objective_fn update_fn max_iters tol par_tol=1e-08 max_step_updates=10 *args **kwargs
begin
set theta = init
set obj = call objective_fn theta *args keyword kwargs
for i in range max_iters
begin
set x1 = call update_fn theta *args keyword kwargs
set r = x1 - theta
if i == 0 and call objective_fn x... | def squarem(init, objective_fn, update_fn, max_iters, tol, par_tol=1e-8, max_step_updates=10, *args, **kwargs):
theta = init
obj = objective_fn(theta, *args, **kwargs)
for i in range(max_iters):
x1 = update_fn(theta, *args, **kwargs)
r = x1 - theta
if i == 0 and objective_fn(x1, *args, **kwargs) < obj... | Python | nomic_cornstack_python_v1 |
import itertools
comment 练习1： 计算在4张牌中排列4中的可能性
from common.iterable_tools import IterableHelper
set tuple_poker = tuple string 红桃3 string 黑桃2 string 梅花5 string 大王
set list_result = list permutations tuple_poker 4
print length list_result list_result
comment 练习2:"012345",可以组成多少个不重复的5位偶数
comment list_result = list()
comme... | import itertools
# 练习1： 计算在4张牌中排列4中的可能性
from common.iterable_tools import IterableHelper
tuple_poker = ("红桃3", "黑桃2", "梅花5", "大王")
list_result = list(itertools.permutations(tuple_poker, 4))
print(len(list_result), list_result)
# 练习2:"012345",可以组成多少个不重复的5位偶数
# list_result = list()
# print(len(list_result), list_resu... | Python | zaydzuhri_stack_edu_python |
function bank_transfer_payment_method_specific_output self
begin
return __bank_transfer_payment_method_specific_output
end function | def bank_transfer_payment_method_specific_output(self):
return self.__bank_transfer_payment_method_specific_output | Python | nomic_cornstack_python_v1 |
function dswap x y
begin
comment compute
call blas_dswap data data
comment and return {x} and {y}
return tuple x y
end function | def dswap(x, y):
# compute
gsl.blas_dswap(x.data, y.data)
# and return {x} and {y}
return x, y | Python | nomic_cornstack_python_v1 |
function insert conn tab fld val
begin
try
begin
set cur = call cursor
set sql = string INSERT INTO + tab + string ( + fld + string ) VALUES( + val + string );COMMIT;
execute cur sql
close cur
end
except tuple Exception DatabaseError as error
begin
print error
end
end function | def insert(conn,tab,fld,val):
try:
cur = conn.cursor()
sql = "INSERT INTO " + tab + "(" + fld + ") VALUES(" + val + ");COMMIT;"
cur.execute(sql)
cur.close()
except (Exception,pyodbc.DatabaseError) as error:
print(error) | Python | nomic_cornstack_python_v1 |
import sys
from collections import defaultdict
import torch
import dlc_practical_prologue as prologue
from network import NaiveNet , SharedWeightNet , BenchmarkNet
from helpers import train_model , compute_accuracy , bootstrapping
from generate_plot import performance_plot
set num_samples = 1000
comment Change this par... | import sys
from collections import defaultdict
import torch
import dlc_practical_prologue as prologue
from network import NaiveNet, SharedWeightNet, BenchmarkNet
from helpers import train_model, compute_accuracy, bootstrapping
from generate_plot import performance_plot
num_samples = 1000
# Change this parameter to ... | Python | zaydzuhri_stack_edu_python |
function _generate_baselining_job_name self job_name=none
begin
if job_name is not none
begin
return job_name
end
if base_job_name
begin
set base_name = base_job_name
end
else
begin
set base_name = _SUGGESTION_JOB_BASE_NAME
end
return call name_from_base base=base_name
end function | def _generate_baselining_job_name(self, job_name=None):
if job_name is not None:
return job_name
if self.base_job_name:
base_name = self.base_job_name
else:
base_name = _SUGGESTION_JOB_BASE_NAME
return name_from_base(base=base_name) | Python | nomic_cornstack_python_v1 |
function to_json value depth=0 **params
begin
comment TODO: support cycle/circular references (include a list of processed keys)
if value is none or is instance value SIMPLE_TYPES
begin
return value
end
else
if is instance value list
begin
return list comprehension to json invalue depth=depth keyword params for invalue... | def to_json(value, depth=0, **params):
# TODO: support cycle/circular references (include a list of processed keys)
if value is None or isinstance(value, SIMPLE_TYPES):
return value
elif isinstance(value, list):
return [to_json(invalue, depth=depth, **params) for invalue in value]
... | Python | nomic_cornstack_python_v1 |
function is_other self
begin
return _tag == string other
end function | def is_other(self):
return self._tag == 'other' | Python | nomic_cornstack_python_v1 |
function test2SetToolProperties self
begin
from AthExHelloWorld.AthExHelloWorldConf import HelloAlg
from AthExHelloWorld.AthExHelloWorldConf import HelloTool
set HelloWorld = call HelloAlg string HelloWorld
set msg1 = string A Private Message!
set MyPrivateHelloTool = call HelloTool string HelloTool
set MyMessage = msg... | def test2SetToolProperties( self ):
from AthExHelloWorld.AthExHelloWorldConf import HelloAlg
from AthExHelloWorld.AthExHelloWorldConf import HelloTool
HelloWorld = HelloAlg( 'HelloWorld' )
msg1 = "A Private Message!"
HelloWorld.MyPrivateHelloTool = HelloTool( "HelloTool" )
HelloW... | Python | nomic_cornstack_python_v1 |
function close self
begin
comment don't try to compute cycles if the associated message is disabled
if call is_message_enabled string cyclic-import
begin
for cycle in call get_cycles import_graph
begin
call add_message string cyclic-import args=join string -> cycle
end
end
end function | def close(self):
# don't try to compute cycles if the associated message is disabled
if self.linter.is_message_enabled('cyclic-import'):
for cycle in get_cycles(self.import_graph):
self.add_message('cyclic-import', args=' -> '.join(cycle)) | Python | nomic_cornstack_python_v1 |
function classifyOne self query_row neigbor_thres=none max_diff=0 min_maj=1
begin
set dist_f = _dist_f
set distances = list comprehension call dist_f query_row std_row for std_row in std_rows
comment nn_idxs = nn_f(distances)
set nn_lineages = std_lineages at nn_idxs
comment result_lineage = lineage_reduce_f(nn_lineage... | def classifyOne(self, query_row, neigbor_thres=None, max_diff=0,
min_maj=1):
dist_f = self._dist_f
distances = [dist_f(query_row, std_row)
for std_row in std_rows]
#nn_idxs = nn_f(distances)
nn_lineages = std_lineages[nn_idxs]
#result_lineage = lineage... | Python | nomic_cornstack_python_v1 |
function simxGetDialogResult clientID dialogHandle operationMode
begin
string Please have a look at the function description/documentation in the V-REP user manual
set result = call c_int
return tuple call c_GetDialogResult clientID dialogHandle call byref result operationMode value
end function | def simxGetDialogResult(clientID, dialogHandle, operationMode):
'''
Please have a look at the function description/documentation in the V-REP user manual
'''
result = ct.c_int()
return c_GetDialogResult(clientID, dialogHandle, ct.byref(result), operationMode), result.value | Python | jtatman_500k |
function distinguish modhash cookie name
begin
set dist_data = dict string api_type string json ; string how string yes ; string id name ; string uh modhash
set request = post reddit_url + string api/distinguish data=dist_data cookies=cookie
set thread_r = json request at string json
if length thread_r at string errors... | def distinguish(modhash, cookie, name):
dist_data = {'api_type': 'json', 'how': 'yes', 'id': name, 'uh': modhash}
request = session.post(reddit_url + 'api/distinguish', data=dist_data, cookies=cookie)
thread_r = request.json()['json']
if len(thread_r['errors']) > 0:
debug_printer.pprint(thread_... | Python | nomic_cornstack_python_v1 |
function list_active_customers
begin
return count where is_active
end function | def list_active_customers():
return Customer.select().where(Customer.is_active).count() | Python | nomic_cornstack_python_v1 |
comment class C2F(float):
comment def __init__(self,x):
comment self.x = x
comment print("%f" % (self.x*1.8+32))
comment class C2F(float):
comment def __new__(cls,arg=0.0):
comment return float.__new__(cls,arg*1.8+32) | #class C2F(float):
# def __init__(self,x):
# self.x = x
# print("%f" % (self.x*1.8+32))
#class C2F(float):
# def __new__(cls,arg=0.0):
# return float.__new__(cls,arg*1.8+32)
| Python | zaydzuhri_stack_edu_python |
comment content based filtering
from moviedock import app , db
from moviedock.models import User , Movie , Reviews , Recommendations
import pandas as pd
import numpy as np
import operator
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.feature_extraction.text import CountVectorizer
set bag_of_words ... | #content based filtering
from moviedock import app, db
from moviedock.models import User, Movie, Reviews, Recommendations
import pandas as pd
import numpy as np
import operator
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.feature_extraction.text import CountVectorizer
bag_of_words = pd.read_csv('... | Python | zaydzuhri_stack_edu_python |
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