code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment ===============================================================================
comment Trabalho 04
comment -------------------------------------------------------------------------------
comment Autor: Rodrigo Guimarães
comment Universidade Tecnológica Federal do Paraná
comment ================================... | # ===============================================================================
# Trabalho 04
# -------------------------------------------------------------------------------
# Autor: Rodrigo Guimarães
# Universidade Tecnológica Federal do Paraná
# ====================================================================... | Python | zaydzuhri_stack_edu_python |
from PyTest import *
comment //////////////////////////// PROBLEM STATEMENT ///////////////////////////////
comment Given a list of integers and start & end indexes into the list, print //
comment the number of times where, between the start and end indices (inclusive), //
comment an integer in the list is followed by ... | from PyTest import *
##//////////////////////////// PROBLEM STATEMENT ///////////////////////////////
## Given a list of integers and start & end indexes into the list, print //
## the number of times where, between the start and end indices (inclusive), //
## an integer in the list is followed by the same intege... | Python | zaydzuhri_stack_edu_python |
function rename_object_data self old_name new_name
begin
for ct in all
begin
set model = call model_class
set params = dict string custom_field_data__ { old_name } __isnull false
set instances = filter keyword params
for instance in instances
begin
set custom_field_data at new_name = pop custom_field_data old_name
end
... | def rename_object_data(self, old_name, new_name):
for ct in self.content_types.all():
model = ct.model_class()
params = {f'custom_field_data__{old_name}__isnull': False}
instances = model.objects.filter(**params)
for instance in instances:
instance... | Python | nomic_cornstack_python_v1 |
function get_token token gh_config hub_config
begin
if token
begin
return token
end
else
if exists gh_config
begin
set config = call load_config gh_config
set host = config at string github.com
set token = host at string oauth_token
return token
end
else
if exists hub_config
begin
set config = call load_config hub_conf... | def get_token(token, gh_config, hub_config):
if token:
return token
elif gh_config.exists():
config = load_config(gh_config)
host = config["github.com"]
token = host["oauth_token"]
return token
elif hub_config.exists():
config = load_config(hub_config)
... | Python | nomic_cornstack_python_v1 |
function _context_build self pending=false
begin
string Create a context dict from standard task configuration. The context is constructed in a standard way and is passed to str.format() on configuration. The context consists of the entire os.environ, the config 'defines', and a set of pre-defined values which have a c... | def _context_build(self, pending=False):
"""
Create a context dict from standard task configuration.
The context is constructed in a standard way and is passed to str.format() on configuration.
The context consists of the entire os.environ, the config 'defines', and a set
of pre... | Python | jtatman_500k |
import random
for i in range 5
begin
print string First Series: random integer 1 10
end
for i in range 3
begin
print string Second Series: call randrange 1 2
end | import random
for i in range(5):
print("First Series: ",random.randint(1,10))
for i in range(3):
print("Second Series: ",random.randrange(1,2))
| Python | zaydzuhri_stack_edu_python |
function non_maximum_suppression prediction iou_threshold=0.45 score_threshold=0.25
begin
comment num_classes = len(names)
set max_wh = 4096
set max_det = 300
set max_nms = 30000
set output = list zeros tuple 0 6 device=device * shape at 0
for tuple xi x in enumerate prediction
begin
set x = x at x at tuple Ellipsis 4 ... | def non_maximum_suppression(prediction, iou_threshold=0.45, score_threshold=0.25):
# num_classes = len(names)
max_wh = 4096
max_det = 300
max_nms = 30000
output = [torch.zeros((0, 6), device=prediction.device)] * prediction.shape[0]
for xi, x in enumerate(prediction):
x = x[x[..., 4] >... | Python | nomic_cornstack_python_v1 |
function _pq2df data_file
begin
set df = call read_parquet data_file
return df
end function | def _pq2df(data_file):
df = pd.read_parquet(data_file)
return df | Python | nomic_cornstack_python_v1 |
comment Exercise 1: Download a copy of the file www.py4e.com/code3/words.txt
comment Write a program that reads the words in words.txt and stores them as keys in a dictionary.
comment It doesn’t matter what the values are. Then you can use the in operator as a fast way to check whether a string is in the dictionary.
co... | # Exercise 1: Download a copy of the file www.py4e.com/code3/words.txt
# Write a program that reads the words in words.txt and stores them as keys in a dictionary.
# It doesn’t matter what the values are. Then you can use the in operator as a fast way to check whether a string is in the dictionary.
# text = open("wor... | Python | zaydzuhri_stack_edu_python |
import itertools
function accumulating_product lst
begin
return list accumulate lst lambda a b -> a * b
end function | import itertools
def accumulating_product(lst):
return list(itertools.accumulate(lst, lambda a,b : a*b))
| Python | zaydzuhri_stack_edu_python |
function test_get_type_object name
begin
set result = call get_type_object name
assert is instance result type
set expected_name = __module__ + string . + __qualname__
if starts with expected_name string builtins.
begin
set expected_name = expected_name at slice length string builtins. : :
end
assert expected_name ==... | def test_get_type_object(name):
result = walking.get_type_object(name)
assert isinstance(result, type)
expected_name = result.__module__ + "." + result.__qualname__
if expected_name.startswith("builtins."):
expected_name = expected_name[len("builtins.") :]
assert expected_name == name | Python | nomic_cornstack_python_v1 |
function add_item_unlocking_item self item
begin
set item_id = call insert_item_query item
execute cursor string insert into item_unlocking_items values (:item_id, :unlocks_item) dict string item_id item_id ; string unlocks_item call get_unlocks_item
return call ItemUnlockingItem name=call get_name description=call get... | def add_item_unlocking_item(self, item):
item_id = self.insert_item_query(item)
self.cursor.execute( \
"""
insert into item_unlocking_items values (:item_id, :unlocks_item)
""",
{'item_id': item_id, 'unlocks_item': item.get_unlocks_item()})
return ItemUnlockingItem(
n... | Python | nomic_cornstack_python_v1 |
comment tic-tac-toe
comment stage 1:
comment create the main loop
comment print the board
comment create your loop
comment get the user input
comment put the user input in the board
comment stage2:
comment check for player win
comment stage3:
comment create the second player
comment check for second player win
comment ... | #tic-tac-toe
#stage 1:
#create the main loop
#print the board
#create your loop
#get the user input
#put the user input in the board
#stage2:
#check for player win
#stage3:
#create the second player
#check for second player win
#check for a full board
#stage4:
#combine stages 2 & 3 into 1 function
#def is winner(b... | Python | zaydzuhri_stack_edu_python |
function test_move_right__ok_3
begin
set old_puzzle = list 0 2 3 4 5 6 7 8 9
set obj_puzzle = list 2 0 3 4 5 6 7 8 9
set new_puzzle = call move_right 3 old_puzzle
assert new_puzzle == obj_puzzle
set old_puzzle = list 1 0 3 4 5 6 7 8 9
set obj_puzzle = list 1 3 0 4 5 6 7 8 9
set new_puzzle = call move_right 3 old_puzzle... | def test_move_right__ok_3():
old_puzzle = [
0, 2, 3,
4, 5, 6,
7, 8, 9
]
obj_puzzle = [
2, 0, 3,
4, 5, 6,
7, 8, 9
]
new_puzzle = moves.move_right(3, old_puzzle)
assert new_puzzle == obj_puzzle
old_puzzle = [
1, 0, 3,
4, 5, 6,
7, 8, 9
]
obj_puzzle = [
1, 3, 0,
4, 5, 6,
7, 8, 9
]
new_puz... | Python | nomic_cornstack_python_v1 |
import logging
import sys
from unittest import TestCase
import matplotlib.pyplot as plt
import numpy as np
from src.SABRModel.SABRModel import SABRModelLognormalApprox
from src.Utils.Extrapolator.PolynomialExtrapolator import PolynomialExtrapolator
from src.Utils.Types.OptionType import OptionType
from src.Utils.Valuat... | import logging
import sys
from unittest import TestCase
import matplotlib.pyplot as plt
import numpy as np
from src.SABRModel.SABRModel import SABRModelLognormalApprox
from src.Utils.Extrapolator.PolynomialExtrapolator import PolynomialExtrapolator
from src.Utils.Types.OptionType import OptionType
from src.Utils.Valu... | Python | zaydzuhri_stack_edu_python |
from typing import List
class Array
begin
function __init__ self nums
begin
set nums = nums
end function
function _merge self left mid right
begin
string Merge self.nums[left:mid+1] with nums[mid+1:right]
set i = left
set j = mid + 1
set pre = nums at slice : :
for k in range left right + 1
begin
comment left part h... | from typing import List
class Array:
def __init__(self, nums:List):
self.nums = nums
def _merge(self,left,mid,right):
"""
Merge self.nums[left:mid+1] with nums[mid+1:right]
"""
i = left
j = mid+1
pre = self.nums[:]
for k in range(left,right+1):... | Python | zaydzuhri_stack_edu_python |
function report self
begin
comment Add Illumina-specific CSS rules
call addCSSRule string table.fastqc_summary td.PASS { font-weight: bold; color: green; }
call addCSSRule string table.fastqc_summary td.WARN { font-weight: bold; color: orange; }
call addCSSRule string table.fastqc_summary td.FAIL { font-weight: bold; c... | def report(self):
# Add Illumina-specific CSS rules
self.html.addCSSRule("table.fastqc_summary td.PASS { font-weight: bold;\n"
" color: green; }")
self.html.addCSSRule("table.fastqc_summary td.WARN { font-weight: bold;\n"
... | Python | nomic_cornstack_python_v1 |
function append_start_power self power epanet_timestamp
begin
append powers_reads tuple power epanet_timestamp
end function | def append_start_power(self, power: float, epanet_timestamp: float):
self.powers_reads.append((power, epanet_timestamp)) | Python | nomic_cornstack_python_v1 |
function test_returns_intent_data self
begin
set expected = intent_request at string intent
set http_request = call _generate_intent_request
set request = call EchoRequest http_request
assert intent == expected
end function | def test_returns_intent_data(self):
expected = self.intent_request['intent']
http_request = self._generate_intent_request()
request = EchoRequest(http_request)
assert request.intent == expected | Python | nomic_cornstack_python_v1 |
function __init__ self proportion=1.0 n_neighbors=5 T=0.5 n_jobs=1
begin
call __init__
call check_greater_or_equal proportion string proportion 0
call check_greater_or_equal n_neighbors string n_neighbors 1
call check_greater_or_equal T string T 0
call check_n_jobs n_jobs string n_jobs
set proportion = proportion
set n... | def __init__(self, proportion= 1.0, n_neighbors= 5, T= 0.5, n_jobs= 1):
super().__init__()
self.check_greater_or_equal(proportion, "proportion", 0)
self.check_greater_or_equal(n_neighbors, "n_neighbors", 1)
self.check_greater_or_equal(T, "T", 0)
self.check_n_jobs(n_jobs, 'n_jobs'... | Python | nomic_cornstack_python_v1 |
function write_timing self times
begin
write lib string timing(){
write lib string timing_type : setup_rising;
write lib string related_pin : "clk";
write lib string rise_constraint(CONSTRAINT_HIGH_POS) {
write lib format string values("{0}"); times at string setup_time_one
write lib string }
write lib string fall_cons... | def write_timing(self, times):
self.lib.write(" timing(){ \n")
self.lib.write(" timing_type : setup_rising; \n")
self.lib.write(" related_pin : \"clk\"; \n")
self.lib.write(" rise_constraint(CONSTRAINT_HIGH_POS) {\n")
self.lib.write(" ... | Python | nomic_cornstack_python_v1 |
comment reliably restored by inspect
function emit_stop_by_name self detailed_signal
begin
pass
end function | def emit_stop_by_name(self, detailed_signal): # reliably restored by inspect
pass | Python | nomic_cornstack_python_v1 |
function solve_gevp_gen a t_0 algorithm sort_by_vectors=15 **kwargs
begin
set B = call matrix a at t_0
try
begin
set f = call algorithm B=B keyword kwargs
end
except TypeError
begin
comment If the function doesn't do currying, implement that here
set f = lambda A -> call algorithm B=B A=A
end
except LinAlgError
begin
r... | def solve_gevp_gen(a, t_0, algorithm, sort_by_vectors=15, **kwargs):
B = np.matrix(a[t_0])
try:
f = algorithm(B=B, **kwargs)
except TypeError:
# If the function doesn't do currying, implement that here
f = lambda A: algorithm(B=B, A=A)
except LinAlgError:
return
eige... | Python | nomic_cornstack_python_v1 |
while true
begin
set a = a + 1
if a < 10
begin
continue
end
comment 「10」と表示される
print a
break
end
comment 「loop ended」と表示される
print string loop ended | while True:
a = a + 1
if a < 10:
continue
print( a ) # 「10」と表示される
break
print( 'loop ended' ) # 「loop ended」と表示される
| Python | zaydzuhri_stack_edu_python |
function normalise_intensity image thres_roi=10.0
begin
set val_l = call percentile image thres_roi
set roi = image >= val_l
set tuple mu sigma = tuple mean np image at roi standard deviation np image at roi
set eps = 1e-06
set image2 = image - mu / sigma + eps
return image2
end function | def normalise_intensity(image, thres_roi=10.0):
val_l = np.percentile(image, thres_roi)
roi = (image >= val_l)
mu, sigma = np.mean(image[roi]), np.std(image[roi])
eps = 1e-6
image2 = (image - mu) / (sigma + eps)
return image2 | Python | nomic_cornstack_python_v1 |
function can_match self tutor weeks_per_course
begin
if user_type != string STUDENT
begin
raise call ValueError string self must have user_type of 'STUDENT'
end
if user_type != string TUTOR
begin
raise call ValueError string tutor must have user_type of 'TUTOR'
end
if weeks_per_course <= 0
begin
raise call ValueError s... | def can_match(self, tutor, weeks_per_course):
if self.user_type != 'STUDENT':
raise ValueError('self must have user_type of \'STUDENT\'')
if tutor.user_type != 'TUTOR':
raise ValueError('tutor must have user_type of \'TUTOR\'')
if weeks_per_course <= 0:
raise ... | Python | nomic_cornstack_python_v1 |
comment for x in range(0, 1000):
comment print "%d" % (x)
import json
set data = dict
set data at string sensor = list
comment data['sensor'].append({
comment 'y': 'x'
comment })
comment data['sensor'].append({
comment 'y': 'x'
comment })
comment data['sensor'].append({
comment 'y': 'x'
comment })
from math import *
... | #for x in range(0, 1000):
# print "%d" % (x)
import json
data = {}
data['sensor'] = []
#
# data['sensor'].append({
# 'y': 'x'
# })
# data['sensor'].append({
# 'y': 'x'
# })
# data['sensor'].append({
# 'y': 'x'
# })
from math import*
Fs=8000
f=500
sample=1000
a=[0]*sample
for n in range(sample... | Python | zaydzuhri_stack_edu_python |
function format_timestamp_array arr
begin
set tuple valid_buf num_buf = call buffers
if unit != string ns
begin
comment pragma: no cover
raise call NotImplementedError string TODO handle non-ns
end
comment l = int64
set nums = call cast string l
set num_iter = call _num_iter valid_buf nums
set offset = 0
comment uint32... | def format_timestamp_array(arr: pa.Array) -> pa.Array:
valid_buf, num_buf = arr.buffers()
if arr.type.unit != "ns":
raise NotImplementedError("TODO handle non-ns") # pragma: no cover
nums = memoryview(num_buf).cast("l") # l = int64
num_iter = _num_iter(valid_buf, nums)
offset = 0
out... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from tree.base import DecisionTree
from metrics import accuracy , precision , recall
from tqdm import tqdm
import os
seed 42
comment Split ratio
set split = 0.7
comment Loading and Preprocessing the data
set iris = read csv join path string data str... | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from tree.base import DecisionTree
from metrics import accuracy, precision, recall
from tqdm import tqdm
import os
np.random.seed(42)
split = 0.7 # Split ratio
# Loading and Preprocessing the data
iris = pd.read_csv(os.path.join("data", "... | Python | zaydzuhri_stack_edu_python |
from pptx.util import Inches , Pt
from wand.compat import text
from wand.image import Image
from pptx import Presentation
from os import chdir , listdir
import pytest
comment Counts number of images to be itirated over
set img_count = length list directory string ./input_img
comment pptx init
set prs = call Presentatio... | from pptx.util import Inches, Pt
from wand.compat import text
from wand.image import Image
from pptx import Presentation
from os import chdir, listdir
import pytest;
# Counts number of images to be itirated over
img_count = len(listdir('./input_img'));
# pptx init
prs = Presentation();
slide_register = prs.slide_layo... | Python | zaydzuhri_stack_edu_python |
function stop_and_restart
begin
info string Restarting eduzen_bot...
call stop
call execl executable executable *sys.argv
end function | def stop_and_restart():
logging.info("Restarting eduzen_bot...\n")
bot.updater.stop()
os.execl(sys.executable, sys.executable, *sys.argv) | Python | nomic_cornstack_python_v1 |
function draw_samples self num_samples
begin
comment draw uniform from -1 to 1
set samples = uniform - 1 1 num_samples
set samples = call arccos samples % pi
return samples
end function | def draw_samples(self, num_samples):
# draw uniform from -1 to 1
samples = np.random.uniform(-1, 1, num_samples)
samples = np.arccos(samples) % np.pi
return samples | Python | nomic_cornstack_python_v1 |
function prolog_models cls trial=none
begin
from persistence.models import Trial
return list tuple Trial lambda -> list trial tuple Tag lambda -> tags tuple Argument lambda -> arguments tuple Module lambda -> modules tuple EnvironmentAttr lambda -> environment_attrs tuple CodeComponent lambda -> code_components t... | def prolog_models(cls, trial=None):
from ..persistence.models import Trial
return [
(Trial, lambda: [trial]),
(Tag, lambda: trial.tags),
(Argument, lambda: trial.arguments),
(Module, lambda: trial.modules),
(EnvironmentAttr, lambda: trial.envir... | Python | nomic_cornstack_python_v1 |
function raster ax event_times_list colors
begin
comment assuming 60s
set event_times_list = event_times_list - event_times_list at 0
set et1 = event_times_list at where event_times_list < 15
set et2 = event_times_list at slice min where event_times_list > 15 : max where event_times_list < 30 :
set et3 = event_times_l... | def raster(ax, event_times_list, colors):
# assuming 60s
event_times_list= event_times_list-event_times_list[0]
et1 = event_times_list[np.where(event_times_list<15)]
et2 = event_times_list[np.min(np.where(event_times_list>15)):
np.max(np.where(event_times_list<30))]
et3 = ... | Python | nomic_cornstack_python_v1 |
function _grid m dtype=float32
begin
set M = m ^ 2
set x = linear space 0 1 m dtype=dtype
set y = linear space 0 1 m dtype=dtype
set tuple xx yy = call meshgrid x y
set z = call empty tuple M 2 dtype
set z at tuple slice : : 0 = reshape xx M
set z at tuple slice : : 1 = reshape yy M
return z
end function | def _grid(m, dtype=np.float32):
M = m**2
x = np.linspace(0, 1, m, dtype=dtype)
y = np.linspace(0, 1, m, dtype=dtype)
xx, yy = np.meshgrid(x, y)
z = np.empty((M, 2), dtype)
z[:, 0] = xx.reshape(M)
z[:, 1] = yy.reshape(M)
return z | Python | nomic_cornstack_python_v1 |
from time import sleep , ctime
import thread | from time import sleep,ctime
import thread
| Python | zaydzuhri_stack_edu_python |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from utils import set_init , norm , ratio
class Net extends Module
begin
function __init__ self s_dim a_dim h_dim
begin
call __init__
set s_dim = s_dim
set a_dim = a_dim
comment Actor
set a1 = linear s_dim h_dim
set a21 = linear h_dim... | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from .utils import set_init, norm, ratio
class Net(nn.Module):
def __init__(self, s_dim, a_dim, h_dim):
super().__init__()
self.s_dim = s_dim
self.a_dim = a_dim
# Actor
self.a1 = nn.Lin... | Python | zaydzuhri_stack_edu_python |
for i in directory a
begin
if i at 0 != string _
begin
print i
end
end | for i in dir(a):
if i[0] != '_':
print(i)
| Python | zaydzuhri_stack_edu_python |
string 30. Escreva um programa que transforme uma matriz 4x4 numa matriz triangular inferior, ou seja, atribuindo zero a todos os elementos acima da diagonal principal. Imprima a matriz original e a matriz transformada.
from matrizes import *
set matriz = call criaMatrizAleatoria 4 4 0 9
set matrizTriangularInferior = ... | """
30. Escreva um programa que transforme uma matriz 4x4 numa matriz triangular
inferior, ou seja, atribuindo zero a todos os elementos acima da diagonal
principal. Imprima a matriz original e a matriz transformada.
"""
from matrizes import *
matriz = criaMatrizAleatoria(4, 4, 0, 9)
matrizTriangularInferior = criaMa... | Python | zaydzuhri_stack_edu_python |
function __iadd__ self steps
begin
set children = children + steps
return self
end function | def __iadd__(self, steps):
self.current_block.children += steps
return self | Python | nomic_cornstack_python_v1 |
import os
set ip_host = input string Digite o IP ou Host a ser verificado:
call system string ping -n 6 { ip_host } | import os
ip_host = input('Digite o IP ou Host a ser verificado: ')
os.system(f'ping -n 6 {ip_host}')
| Python | zaydzuhri_stack_edu_python |
function luhn number
begin
set s_even = 0
set s_odd = 0
set l = length number
set n = number at slice : : - 1
comment evens (парні)
for i in range 1 l 2
begin
if integer n at i < 5
begin
set s_even = s_even + integer n at i * 2
end
else
begin
set s_even = s_even + integer n at i * 2 - 9
end
end
comment odds (непарні)... | def luhn(number):
s_even=0
s_odd=0
l = len(number)
n = number[::-1]
# evens (парні)
for i in range(1,l,2):
if int(n[i]) < 5:
s_even = s_even + int(n[i])*2
else:
s_even = s_even + int(n[i])*2-9
# odds (непарні)
for i in range(0,l,2... | Python | zaydzuhri_stack_edu_python |
comment sqrt_r.py - finding square roots
comment you can write this as "1e-12" if you like.
set ERROR = 1e-12
function sqrt x g=1
begin
string Recursive version.
if absolute g * g - x < ERROR
begin
return g
end
else
begin
return square root x g + x / g / 2
end
end function | # sqrt_r.py - finding square roots
# you can write this as "1e-12" if you like.
ERROR = 0.000000000001
def sqrt(x, g = 1):
"""Recursive version."""
if abs(g*g - x) < ERROR:
return g
else:
return sqrt(x, (g + x / g) / 2)
| Python | zaydzuhri_stack_edu_python |
class Solution
begin
function plusOne self digits
begin
set length = length digits
if length == 1 and digits at 0 == 0
begin
return list 1
end
set last_d = digits at - 1
if last_d == 9
begin
set digits at - 1 = 0
set i = - 2
while - i <= length and digits at i == 9
begin
set digits at i = 0
set i = i - 1
end
if - i > l... | class Solution:
def plusOne(self, digits: List[int]) -> List[int]:
length = len(digits)
if length == 1 and digits[0] == 0:
return [1]
last_d = digits[-1]
if last_d == 9:
digits[-1] = 0
i = -2
while -i<=length and digits[i]==9:
... | Python | zaydzuhri_stack_edu_python |
comment A. Team
comment time limit per test2 seconds
comment memory limit per test256 megabytes
comment inputstandard input
comment outputstandard output
comment One day three best friends Petya, Vasya and Tonya decided to form a team and take part in programming contests. Participants are usually offered several probl... | # A. Team
# time limit per test2 seconds
# memory limit per test256 megabytes
# inputstandard input
# outputstandard output
# One day three best friends Petya, Vasya and Tonya decided to form a team and take part in programming contests. Participants are usually offered several problems during programming contests. Lon... | Python | zaydzuhri_stack_edu_python |
import os
import random
function binary_search x a
begin
set l = 0
set r = length a - 1
while l <= r
begin
set mid = l + r / 2
if a at mid == x or x in a at mid or a at mid in x
begin
return mid
end
else
if a at mid > x
begin
set r = mid - 1
end
else
if a at mid < x
begin
set l = mid + 1
end
end
return - 1
end function... | import os
import random
def binary_search(x, a):
l = 0
r = len(a) - 1
while l <= r:
mid = (l + r) / 2
if (a[mid] == x) or (x in a[mid]) or (a[mid] in x):
return mid
elif a[mid] > x:
r = mid - 1
elif a[mid] < x:
l = mid + 1
return -1
d... | Python | zaydzuhri_stack_edu_python |
function euler27 num=1000
begin
comment brute force very fast since is_prime is somewhat optimized
set consec_prime = 0
set coeff_prod = 0
comment easiest base cases are that when n = 0, b must be prime
comment a must be odd for n = 1, e.g. 1^2 + a + b = prime number
comment b is odd as prime numbers > 2 are odd
set nu... | def euler27(num: int = 1000) -> int:
# brute force very fast since is_prime is somewhat optimized
consec_prime = 0
coeff_prod = 0
# easiest base cases are that when n = 0, b must be prime
# a must be odd for n = 1, e.g. 1^2 + a + b = prime number
# b is odd as prime numbers > 2 are odd
num =... | Python | nomic_cornstack_python_v1 |
function try_unpickle file_to_unpickle use_metapath_bkwcomp=false
begin
if call is_pickle file_to_unpickle
begin
set extra_path = if expression use_metapath_bkwcomp then PICKLE_PATH else string
with open extra_path + file_to_unpickle string rb as f
begin
set file_to_unpickle = load pickle f
end
end
return file_to_unpi... | def try_unpickle(file_to_unpickle, use_metapath_bkwcomp=False):
if is_pickle(file_to_unpickle):
extra_path = meta_config.PICKLE_PATH if use_metapath_bkwcomp else ''
with open(extra_path + file_to_unpickle, 'rb') as f:
file_to_unpickle = pickle.load(f)
return file_to_unpickle | Python | nomic_cornstack_python_v1 |
string 需求:用户输入目标学员姓名，如果学员存在则修改该学员信息 步骤: 用户输入目标学员姓名 遍历学员数据列表，如果用户输入的学员姓名存在则修改学员的姓名、性别、手机号数据，否则则提示该学员不存在
comment 2.4 修改学员信息
function modify_student self
begin
comment 1 用户输入目标学员姓名
set modify_name = input string 请输入需要修改的学员姓名:
comment 2 遍历数据列表，如果学员姓名存在则修改学员的姓名、性别、手机号数据，否则则提示该学员不存在
for i in student_list
begin
if modify_name... | """
需求:用户输入目标学员姓名，如果学员存在则修改该学员信息
步骤:
用户输入目标学员姓名
遍历学员数据列表，如果用户输入的学员姓名存在则修改学员的姓名、性别、手机号数据，否则则提示该学员不存在
"""
# 2.4 修改学员信息
def modify_student(self):
# 1 用户输入目标学员姓名
modify_name = input('请输入需要修改的学员姓名:')
# 2 遍历数据列表，如果学员姓名存在则修改学员的姓名、性别、手机号数据，否则则提示该学员不存在
for i in self.student_list:
if modify_name =... | Python | zaydzuhri_stack_edu_python |
class Solution extends object
begin
function reverse self x
begin
set neg = false
set a = list string x at slice : : - 1
if string - in a
begin
set neg = true
remove a string -
end
set f = integer join string a
if f > MIN
begin
return 0
end
return integer join string a * if expression neg then - 1 else 1
end functi... | class Solution(object):
def reverse(self, x):
neg = False
a = list(str(x))[::(-1)]
if ('-' in a):
neg = True
a.remove('-')
f = int(''.join(a))
if (f > MIN):
return 0
return (int(''.join(a)) * ((-1) if neg else 1))
| Python | zaydzuhri_stack_edu_python |
import abc
import sys
import numpy as np
import uuid
from core.base.GameState import GameState
from core.base.Policy import Policy
class TestCountGame extends GameState
begin
string N-Player game that requires the players to walk a random path that was decided when the game started. The game encodes how many moves you ... | import abc
import sys
import numpy as np
import uuid
from core.base.GameState import GameState
from core.base.Policy import Policy
class TestCountGame(GameState, metaclass=abc.ABCMeta):
"""
N-Player game that requires the players to walk a random path that was decided when the game started.
The game encod... | Python | zaydzuhri_stack_edu_python |
function parallel_solve POPULATION_X SOLUTIONS LOCK N_WORKERS MODEL df_kfolded error_type max_features round_prediction
begin
set parallel_execution = true
set s = 0
set POPULATION_SIZE = length POPULATION_X
while s < POPULATION_SIZE - 1
begin
comment EN esta parte antes de meterlo a procesamiento deberia buscar la sol... | def parallel_solve(POPULATION_X, SOLUTIONS, LOCK, N_WORKERS, MODEL, df_kfolded, error_type, max_features, round_prediction):
parallel_execution = True
s = 0
POPULATION_SIZE = len(POPULATION_X)
while s < POPULATION_SIZE-1:
#EN esta parte antes de meterlo a procesamiento deberia buscar la solucio... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
import time
set start = time
set train_df = read csv string ./train_preprocessed.csv dtype=dict string fullVisitorId string str
fill missing train_df at string totals.transactionRevenue 0 inplace=true
set end = time
print string loading complete
print end - start
comment train_df ... | import pandas as pd
import numpy as np
import time
start = time.time()
train_df = pd.read_csv('./train_preprocessed.csv',dtype={'fullVisitorId': 'str'},)
train_df["totals.transactionRevenue"].fillna(0, inplace=True)
end = time.time()
print('loading complete')
print(end-start)
#train_df = train_df.groupby("fullVisitor... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import cv2
import pandas as pd
import os
import cluster
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
import pickle
from sklearn.decomposition import PCA
class RootSIFT
begin
comment Derived from 'http://www.pyimagese... | import numpy as np
import cv2
import pandas as pd
import os
import cluster
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
import pickle
from sklearn.decomposition import PCA
class RootSIFT:
# Derived from 'http://www.pyimagesearch.... | Python | zaydzuhri_stack_edu_python |
function cost_type self cost_type
begin
string Sets the cost_type of this TableRateShipping. :param cost_type: The cost_type of this TableRateShipping. :type: str
set allowed_values = list string orderSubtotal string weight
if cost_type is not none and cost_type not in allowed_values
begin
raise call ValueError format ... | def cost_type(self, cost_type):
"""Sets the cost_type of this TableRateShipping.
:param cost_type: The cost_type of this TableRateShipping.
:type: str
"""
allowed_values = ["orderSubtotal", "weight"]
if cost_type is not None and cost_type not in allowed_values:
... | Python | jtatman_500k |
function main
begin
set base = argv at 1
for tuple root dirs files in walk base
begin
for name in files
begin
set fpath = join path root name
if call is_bin fpath
begin
strip fpath
end
end
end
end function | def main():
base = sys.argv[1]
for root, dirs, files in os.walk(base):
for name in files:
fpath = os.path.join(root, name)
if is_bin(fpath):
strip(fpath) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import random
import re
import sys
function main
begin
if length argv < 2 or length argv > 4
begin
tuple print ? stderr string Usage: %s <filename> [wordcount] [n] % argv at 0
exit 1
end
set filename = argv at 1
if length argv >= 3
begin
set wordcount = integer argv at 2
end
else
begin
set ... | #!/usr/bin/env python
import random
import re
import sys
def main():
if len(sys.argv) < 2 or len(sys.argv) > 4:
print >>sys.stderr, 'Usage: %s <filename> [wordcount] [n]' % sys.argv[0]
sys.exit(1)
filename = sys.argv[1]
if len(sys.argv) >= 3:
wordcount = int(sys.argv[2])
else:
... | Python | zaydzuhri_stack_edu_python |
function remove_spaces string
begin
return join string split string
end function
comment Driver code
set string = string this is a sample sentence
print call remove_spaces string | def remove_spaces(string):
return "".join(string.split())
# Driver code
string = "this is a sample sentence"
print(remove_spaces(string)) | Python | jtatman_500k |
import numpy as np
import random
import time
class State
begin
set SHEEP = 0
set WOLF = 1
set WOLFB_R = - 8
set WOLFR_R = - 4
set SHEEP_R = - 5
function __init__ self dim sheep=none wolfB=none wolfR=none
begin
set turn = WOLF
set grid = zeros tuple dim dim dtype=int
set dim = dim
set dim = dim - 1
set sheep = sheep or ... | import numpy as np
import random
import time
class State:
SHEEP = 0
WOLF = 1
WOLFB_R = -8
WOLFR_R = -4
SHEEP_R = -5
def __init__(self, dim, sheep=None, wolfB=None, wolfR=None):
self.turn = State.WOLF
self.grid = np.zeros((dim, dim), dtype=int)
self.dim = dim
... | Python | zaydzuhri_stack_edu_python |
import csv
set file_path1 = string C:\Users\Lori\Desktop\info_transfer.csv
set file_path2 = string C:\Users\Lori\Desktop\stations.csv
set file_path = string C:\Users\Lori\Desktop\no.csv
set f = open file_path string w encoding=string gbk
set origin1 = open file_path1 string r encoding=string gbk
set origin2 = open file... | import csv
file_path1 = 'C:\\Users\\Lori\\Desktop\\info_transfer.csv'
file_path2 = 'C:\\Users\\Lori\\Desktop\\stations.csv'
file_path = 'C:\\Users\\Lori\\Desktop\\no.csv'
f = open(file_path, 'w', encoding='gbk')
origin1 = open(file_path1, 'r', encoding='gbk')
origin2 = open(file_path2, 'r', encoding='gbk')
csv_writ... | Python | zaydzuhri_stack_edu_python |
function add_report_item self severity engine_name data
begin
raise call NotImplementedError string protocol not implemented: add_report_item
end function | def add_report_item(self, severity, engine_name, data):
raise NotImplementedError("protocol not implemented: add_report_item") | Python | nomic_cornstack_python_v1 |
import cv2
import numpy as np
function translate img x y
begin
set M = array list list 1 0 x list 0 1 y dtype=float32
set dst = call warpAffine img M dsize=tuple shape at 1 shape at 0
return dst
end function
set img = call imread string ../resources/lena.jpg
image show string original img
set imgTranslate = call transl... | import cv2
import numpy as np
def translate(img, x, y):
M = np.array([[1,0,x],[0,1,y]], dtype=np.float32)
dst = cv2.warpAffine(img, M, dsize=(img.shape[1], img.shape[0]))
return dst
img = cv2.imread('../resources/lena.jpg')
cv2.imshow('original', img)
imgTranslate = translate(img, 50,50)
cv2.imshow('out'... | Python | zaydzuhri_stack_edu_python |
function master_periodic self
begin
call assert_is_master true
end function | def master_periodic(self):
self.assert_is_master(True)
| Python | nomic_cornstack_python_v1 |
function onReload self moduleName=string FiberDistance
begin
import imp , sys , os , slicer
set widgetName = moduleName + string Widget
comment reload the source code
comment - set source file path
comment - load the module to the global space
set filePath = eval string slicer.modules.%s.path % lower moduleName
set p =... | def onReload(self,moduleName="FiberDistance"):
import imp, sys, os, slicer
widgetName = moduleName + "Widget"
# reload the source code
# - set source file path
# - load the module to the global space
filePath = eval('slicer.modules.%s.path' % moduleName.lower())
p = os.path.dirname(filePat... | Python | nomic_cornstack_python_v1 |
function additional_result_export self additional_result_export
begin
set _additional_result_export = additional_result_export
end function | def additional_result_export(self, additional_result_export):
self._additional_result_export = additional_result_export | Python | nomic_cornstack_python_v1 |
function _get_field_info self field filter_rel_field page=none page_size=none
begin
set ret = dictionary
set ret at string name = name
comment print(ret["name"])
comment print(type(field))
comment print(field)
comment 根据数据库信息添加
if datamodel
begin
comment 只有数据库存储的字段，没有外键字段
set list_columns = list_columns
if name in list... | def _get_field_info(self, field, filter_rel_field, page=None, page_size=None):
ret = dict()
ret["name"] = field.name
# print(ret["name"])
# print(type(field))
# print(field)
# 根据数据库信息添加
if self.datamodel:
list_columns = self.datamodel.list_co... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.audio import MIMEAudio
from email.mime.base import MIMEBase
from email.mime.image import MIMEImage
from email.header import Header
from email import encoders
function _is_ascii s
begin
strin... | # -*- coding: utf-8 -*-
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.audio import MIMEAudio
from email.mime.base import MIMEBase
from email.mime.image import MIMEImage
from email.header import Header
from email import encoders
def _is_ascii(s):
"""
Checks... | Python | zaydzuhri_stack_edu_python |
function _AddArgumentHexadecimalInteger self string=string **unused_kwargs
begin
try
begin
set int_value = integer string 16
end
except tuple TypeError ValueError
begin
raise call ParseError format string {0:s} is not a valid base16 integer. string
end
return call _AddArgument int_value
end function | def _AddArgumentHexadecimalInteger(self, string='', **unused_kwargs):
try:
int_value = int(string, 16)
except (TypeError, ValueError):
raise errors.ParseError(
'{0:s} is not a valid base16 integer.'.format(string))
return self._AddArgument(int_value) | Python | nomic_cornstack_python_v1 |
function _set_correct wizard parameter target
begin
set casepath = call _get_casepath wizard
comment We don't worry about updating the XML tag. That is done by a calling
comment procedure. The job here is to copy model output to the global output's
comment folder specified by the user for the current module, and then r... | def _set_correct(wizard, parameter, target):
casepath = _get_casepath(wizard)
#We don't worry about updating the XML tag. That is done by a calling
#procedure. The job here is to copy model output to the global output's
#folder specified by the user for the current module, and then return the name
#... | Python | nomic_cornstack_python_v1 |
function query_endpoint_pricehistorical self from_asset to_asset timestamp handling_special_case=false
begin
debug string Querying cryptocompare for daily historical price from_asset=from_asset to_asset=to_asset timestamp=timestamp
set special_asset = identifier in CRYPTOCOMPARE_SPECIAL_CASES or identifier in CRYPTOCOM... | def query_endpoint_pricehistorical(
self,
from_asset: AssetWithOracles,
to_asset: AssetWithOracles,
timestamp: Timestamp,
handling_special_case: bool = False,
) -> Price:
log.debug(
'Querying cryptocompare for daily historical price',
... | Python | nomic_cornstack_python_v1 |
import sys
class Solution
begin
function reverse self x
begin
set s = string x
if x < 0
begin
set s_reverse = string - + s at slice - 1 : 0 : - 1
end
else
begin
set s_reverse = s at slice : : - 1
end
set reverse_value = integer s_reverse
if reverse_value >= 2 ^ 31 - 1 or reverse_value <= - 2 ^ 31
begin
return 0
end
r... | import sys
class Solution:
def reverse(self, x: int) -> int:
s = str(x)
if x < 0:
s_reverse = '-' + s[-1:0:-1]
else:
s_reverse = s[::-1]
reverse_value = int(s_reverse)
if (reverse_value >= (2 ** 31) - 1) or (reverse_value <= - (2 ** 31)):
... | Python | zaydzuhri_stack_edu_python |
comment Soma dos numeros nas casas, centenas, dezenas, unidade, etc
function main
begin
set entrada = integer input string Digite um número inteiro:
set ent_str = string entrada
set tam = length ent_str
function somando_unidades numero tamanho
begin
set potencia = tamanho
set soma = 0
set a_dividir = numero
while poten... | #Soma dos numeros nas casas, centenas, dezenas, unidade, etc
def main():
entrada = int(input("Digite um número inteiro: "))
ent_str = str(entrada)
tam = len(ent_str)
def somando_unidades(numero, tamanho):
potencia = tamanho
soma = 0
a_dividir = numero
while potencia > -1:
a_somar = a_dividir // (10**pot... | Python | zaydzuhri_stack_edu_python |
function automation_account_id self
begin
return get pulumi self string automation_account_id
end function | def automation_account_id(self) -> Optional[pulumi.Input[str]]:
return pulumi.get(self, "automation_account_id") | Python | nomic_cornstack_python_v1 |
async function get_attached_sticker_sets self file_id request_id=none request_timeout=none skip_validation=false
begin
set _constructor = if expression skip_validation then construct else GetAttachedStickerSets
return await call request call _constructor file_id=file_id request_id=request_id request_timeout=request_tim... | async def get_attached_sticker_sets(
self,
file_id: int,
*,
request_id: str = None,
request_timeout: int = None,
skip_validation: bool = False
) -> StickerSets:
_constructor = GetAttachedStickerSets.construct if skip_validation else Get... | Python | nomic_cornstack_python_v1 |
function _get_tags_by_rarity self soup
begin
set rarity_nodes = find all soup string h1
comment Removes expansion title
pop rarity_nodes 0
comment Stores all the tags containing cards (which are tables) by its rarity.
set cards_by_rarity = list
for tuple i current_node in enumerate rarity_nodes 0
begin
if i == length ... | def _get_tags_by_rarity(self, soup: BeautifulSoup) -> List[TagListByRarity]:
rarity_nodes = soup.find_all('h1')
rarity_nodes.pop(0) # Removes expansion title
# Stores all the tags containing cards (which are tables) by its rarity.
cards_by_rarity = []
for i, current_node in enu... | Python | nomic_cornstack_python_v1 |
class StationNode
begin
string 간단한 지하철 역 노드 클래스
function __init__ self station_name
begin
set station_name = station_name
end function
end class
function create_station_nodes input_file
begin
string input_file에서 데이터를 읽어 와서 지하철 그래프 노드들을 리턴하는 함수
comment 지하철 역 노드들을 담을 딕셔너리
set stations = dict
comment 파라미터로 받은 input_file ... | class StationNode:
"""간단한 지하철 역 노드 클래스"""
def __init__(self, station_name):
self.station_name = station_name
def create_station_nodes(input_file):
"""input_file에서 데이터를 읽어 와서 지하철 그래프 노드들을 리턴하는 함수"""
stations = {} # 지하철 역 노드들을 담을 딕셔너리
# 파라미터로 받은 input_file 파일을 연다
with open(input_file)... | Python | zaydzuhri_stack_edu_python |
import yaml
import json
from src.service.dolls_service import DollsScrapingRepository
from datetime import datetime
class DollsDump
begin
function __init__ self repository dumper
begin
set repository = repository
set dumper = dumper
end function
function dump_file self
begin
write dumper string data/dolls_out result
en... | import yaml
import json
from src.service.dolls_service import DollsScrapingRepository
from datetime import datetime
class DollsDump():
def __init__(self, repository, dumper):
self.repository = repository
self.dumper = dumper
def dump_file(self):
self.dumper.write('data/dolls_out', self.repository.result)
cl... | Python | zaydzuhri_stack_edu_python |
function _why self current_data
begin
if length answered_true > 0
begin
print string Uživatel odpověděl pravdivě na následující otázky:
for i in answered_true
begin
print string - name
end
end
if length implied_true > 0
begin
print string Z nich vyplývá, že:
for i in implied_true
begin
print string - name
end
end
print... | def _why(self, current_data):
if len(self.answered_true) > 0:
print("Uživatel odpověděl pravdivě na následující otázky: ")
for i in self.answered_true:
print("-", i.name)
if len(self.implied_true) > 0:
print("Z nich vyplývá, že: ")
for i in... | Python | nomic_cornstack_python_v1 |
function _parse_words text
begin
comment // \w Alphanumeric characters (including non-latin characters, umlaut
comment characters and digits) plus "_". [^\W_] is the equivalent of \w
comment excluding "_". Compatible with non-latin characters, does not split
comment words at apostrophes. Uses capturing groups to combin... | def _parse_words(text: str) -> List[str]:
# // \w Alphanumeric characters (including non-latin characters, umlaut
# characters and digits) plus "_". [^\W_] is the equivalent of \w
# excluding "_". Compatible with non-latin characters, does not split
# words at apostrophes. Uses capturing... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
comment File Name： 04communite
comment Description :
comment Author : zongyanzhang
comment date： 2018/12/22
from multiprocessing import Process , Pipe
import time
comment 发送
function pro1 args
begin
for i in range 10
begin
comment 向管道发送数据
call send i
sleep 1
end
close args
end function
fun... | # -*- coding: utf-8 -*-
# File Name： 04communite
# Description :
# Author : zongyanzhang
# date： 2018/12/22
from multiprocessing import Process, Pipe
import time
# 发送
def pro1(args):
for i in range(10):
# 向管道发送数据
args.send(i)
time.sleep(1)
args... | Python | zaydzuhri_stack_edu_python |
function login self username password
begin
call execute_cdp_cmd string Network.setUserAgentOverride dict string userAgent string Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.53 Safari/537.36
call execute_script string Object.defineProperty(navigator, 'webdriver', {g... | def login(self, username, password):
self.driver.execute_cdp_cmd(
"Network.setUserAgentOverride",
{
"userAgent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.53 Safari/537.36"
},
)
self.driv... | Python | nomic_cornstack_python_v1 |
function evaluate self prediction_type target_field_name gcs_source_uris=none bigquery_source_uri=none bigquery_destination_output_uri=none class_labels=none prediction_label_column=none prediction_score_column=none staging_bucket=none service_account=none generate_feature_attributions=false evaluation_pipeline_display... | def evaluate(
self,
prediction_type: str,
target_field_name: str,
gcs_source_uris: Optional[List[str]] = None,
bigquery_source_uri: Optional[str] = None,
bigquery_destination_output_uri: Optional[str] = None,
class_labels: Optional[List[str]] = None,
predi... | Python | nomic_cornstack_python_v1 |
function realify fn imag_tol=1e-12
begin
decorator wraps fn
function realified_fn *args **kwargs
begin
return call realify_scalar call fn *args keyword kwargs imag_tol=imag_tol
end function
return realified_fn
end function | def realify(fn, imag_tol=1e-12):
@functools.wraps(fn)
def realified_fn(*args, **kwargs):
return realify_scalar(fn(*args, **kwargs), imag_tol=imag_tol)
return realified_fn | Python | nomic_cornstack_python_v1 |
import abc
class EnvironmentBase extends object
begin
set __metaclass__ = ABCMeta
decorator abstractmethod
function __init__ self
begin
string Initializes the environment
return
end function
decorator abstractmethod
function reset self
begin
string Resets the environment and returns the initial state
return
end functio... | import abc
class EnvironmentBase(object):
__metaclass__ = abc.ABCMeta
@abc.abstractmethod
def __init__(self):
""" Initializes the environment """
return
@abc.abstractmethod
def reset(self):
""" Resets the environment and returns the initial state """
return
@... | Python | zaydzuhri_stack_edu_python |
import tabpy_client
from sklearn.linear_model import Perceptron
comment create a perceptron
set ppn = call Perceptron n_iter=10 eta0=0.1 random_state=0
comment declare the training set
set X = list list 0 0 list 0 1 list 1 0 list 1 1
set y = list 0 0 0 1
comment train the perceptron with the training set
fit ppn X y
fu... | import tabpy_client
from sklearn.linear_model import Perceptron
# create a perceptron
ppn = Perceptron(n_iter=10, eta0=0.1, random_state=0)
# declare the training set
X = [[0,0],[0,1],[1,0],[1,1]]
y = [0,0,0,1]
# train the perceptron with the training set
ppn.fit(X, y)
def predict(x, y):
import numpy as np
... | Python | zaydzuhri_stack_edu_python |
import re
import os
if __name__ == string __main__
begin
set fileList = open string list.txt string r
for file_ in fileList
begin
set fileToRead = open file_ at slice : - 1 : string r
set content = read lines fileToRead
close fileToRead
for line in content
begin
set doc_date = match string .*"doc_date":"([0-9]+)".* l... | import re
import os
if __name__ == "__main__":
fileList = open("list.txt", "r");
for file_ in fileList:
fileToRead = open(file_[:-1], "r");
content = fileToRead.readlines();
fileToRead.close();
for line in content:
doc_date = re.match(r'.*"doc_date":"([0-9]+)".*', line, re.M|re.I);
pr... | Python | zaydzuhri_stack_edu_python |
function get_row self row
begin
string Format a single row (if necessary)
if is instance fields dict
begin
return dictionary list comprehension tuple key if expression match value then format call text_type value keyword row else row at value for tuple key value in items fields
end
else
begin
return list comprehension ... | def get_row(self, row):
'''Format a single row (if necessary)'''
if isinstance(self.fields, dict):
return dict([
(key, text_type(value).format(**row) if RE_FORMATTED.match(value) else row[value])
for key, value in self.fields.items()
])
el... | Python | jtatman_500k |
function softmax x
begin
return exp x / sum exp x axis=0
end function | def softmax(x):
return np.exp(x) / np.sum(np.exp(x), axis=0) | Python | nomic_cornstack_python_v1 |
function sumatoria num
begin
if num == 0
begin
return 0
end
else
begin
return num + call sumatoria num - 1
end
end function
function suma num
begin
if is instance num int and num >= 0
begin
return sumatoria == sumatoria
end
else
begin
print string error en la entrada
end
end function
comment segunda forma de sumatoria
... | def sumatoria (num):
if num == 0:
return 0
else :
return num+sumatoria(num-1)
def suma (num):
if isinstance (num,int)and num>=0:
return (sumatoria==sumatoria)
else:
print("error en la entrada")
#segunda forma de sumatoria
def sumatoria_simple(n):
retur... | Python | zaydzuhri_stack_edu_python |
function addition self other
begin
comment Add to reference
comment Add to main data
concat list data _d
end function | def addition(self, other: AddableData) -> pd.IndexSlice:
# Add to reference
# Add to main data
pd.concat([self.data, self.other._d]) | Python | nomic_cornstack_python_v1 |
function distance self puzzle
begin
function locate item matrix
begin
string A helper to locate an item in a state. Note: Assumption: The item is in the matrix. Rerturn: positions (int, int): A tuple of two int.
set index = 0
while item not in matrix at index
begin
set index = index + 1
end
return tuple index index mat... | def distance(self, puzzle):
def locate(item, matrix):
"""A helper to locate an item in a state.
Note:
Assumption: The item is in the matrix.
Rerturn:
positions (int, int): A tuple of two int.
"""
index = 0
... | Python | nomic_cornstack_python_v1 |
function item self request db
begin
return pop call select_items string id lambda x -> x == param
end function | def item(self, request, db):
return db.select_items('id', lambda x: x == request.param).pop() | Python | nomic_cornstack_python_v1 |
from typing import *
class Solution
begin
function findDiagonalOrder self matrix
begin
set tuple m n = tuple length matrix length matrix at 0
set rtn = list
for k in range 0 m + n - 1
begin
if k % 2 == 0
begin
set tuple i j = tuple min k m - 1 k - min k m - 1
while 0 <= i <= m - 1 and 0 <= j <= n - 1
begin
append rtn ... | from typing import *
class Solution:
def findDiagonalOrder(self, matrix: List[List[int]]) -> List[int]:
m, n = len(matrix), len(matrix[0])
rtn = []
for k in range(0, m + n - 1):
if k % 2 == 0:
i, j = min(k, m-1), k - min(k, m-1)
while 0 <= i <= m... | Python | zaydzuhri_stack_edu_python |
import requests
import os
from datetime import date
set package_name = string abcd
set package_url = string https://example.com/abcd-latest-version.zip
set base_dir = string packages
set current_date = string format time today string %Y-%m-%d
set package_dir = join path base_dir current_date
comment Create the base dir... | import requests
import os
from datetime import date
package_name = "abcd"
package_url = "https://example.com/abcd-latest-version.zip"
base_dir = "packages"
current_date = date.today().strftime("%Y-%m-%d")
package_dir = os.path.join(base_dir, current_date)
# Create the base directory if it doesn't exist
if not os.p... | Python | jtatman_500k |
function read_message letters
begin
set data = list
set hash_table = dict
for letter in letters
begin
extend data list split letter string ,
end
set res = list
for d in data
begin
if length d > 1
begin
set hash_table at integer d at 0 = d at 1
append res integer d at 0
end
else
begin
set hash_table at integer d at 0... | def read_message(letters):
data = []
hash_table = {}
for letter in letters:
data.extend([letter.split(' , ')])
res = []
for d in data:
if len(d) > 1:
hash_table[int(d[0])] = d[1]
res.append(int(d[0]))
else:
hash_table[int(d[0][:len(d[0])-2]... | Python | zaydzuhri_stack_edu_python |
function test_smart_truncate_short self
begin
set s = string Quinoa cred brooklyn, sartorial letterpress.
set trunc = call smart_truncate s
assert true ends with trunc string letterpress.
end function | def test_smart_truncate_short(self):
s = 'Quinoa cred brooklyn, sartorial letterpress.'
trunc = smart_truncate(s)
self.assertTrue(trunc.endswith('letterpress.')) | Python | nomic_cornstack_python_v1 |
import numpy as np
import matplotlib.pyplot as plt
import seaborn
from scipy.signal import savgol_filter , medfilt
from scipy.integrate import solve_ivp
from scipy.optimize import minimize
from sklearn.metrics import mean_squared_error as MSE
import keras
from keras import backend as K
from keras.models import Sequenti... | import numpy as np
import matplotlib.pyplot as plt
import seaborn
from scipy.signal import savgol_filter, medfilt
from scipy.integrate import solve_ivp
from scipy.optimize import minimize
from sklearn.metrics import mean_squared_error as MSE
import keras
from keras import backend as K
from keras.models import Sequenti... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
from collections import deque
from p1_is_complete import is_complete
from p2_is_consistent import is_consistent
from p3_basic_backtracking import *
comment from p5_ordering import select_unassigned_variable, order_domain_values
function inference csp variable
begin
string Performs an infer... | # -*- coding: utf-8 -*-
from collections import deque
from p1_is_complete import is_complete
from p2_is_consistent import is_consistent
from p3_basic_backtracking import *
#from p5_ordering import select_unassigned_variable, order_domain_values
def inference(csp, variable):
"""Performs an inference procedure for... | Python | zaydzuhri_stack_edu_python |
from webcam_funcs import *
import time
function gen_images_for_single_coin cap totaltime=300 live=false rate=5
begin
string Takes labeled frames for single coin value from a capturer Receives a capturer to save frames from. A total time is passed as the time we'll be taking the frames, in a rate defined by a parameter.... | from webcam_funcs import *
import time
def gen_images_for_single_coin(cap, totaltime=300, live=False, rate=5):
"""Takes labeled frames for single coin value from a capturer
Receives a capturer to save frames from. A total time is passed
as the time we'll be taking the frames, in a rate defined by a
parameter. ... | Python | zaydzuhri_stack_edu_python |
function mew char
begin
return ordinal lower char - ordinal string a
end function | def mew(char):
return ord(char.lower()) - ord('a') | Python | nomic_cornstack_python_v1 |
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