code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function truncate self num_rows
begin
return call truncate num_rows
end function | def truncate(self, num_rows):
return self.ll_table.truncate(num_rows) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
import sys , string , re
string --------------- Instruction Set for MM -------------- 000000 hlt Halt 01rmmm ldr Load register r with contents of address mmm. 02rmmm sto Store the contents of register r at address mmm. 03rnnn ldn Load register r with the number nnn. 04r00s lfm Load register r w... | #!/usr/bin/python
import sys, string, re
"""
--------------- Instruction Set for MM --------------
000000 hlt Halt
01rmmm ldr Load register r with contents of address mmm.
02rmmm sto Store the contents of register r at address mmm.
03rnnn ldn Load register r with the number nnn.
04r00s lfm Lo... | Python | zaydzuhri_stack_edu_python |
function __init__ self *args **kwargs
begin
call JPEGHandler_swiginit self call new_JPEGHandler *args keyword kwargs
end function | def __init__(self, *args, **kwargs):
_core_.JPEGHandler_swiginit(self,_core_.new_JPEGHandler(*args, **kwargs)) | Python | nomic_cornstack_python_v1 |
comment coding: utf-8
from collections import Counter
import Levenshtein
from django.contrib.auth import get_user_model
set __all__ = list string get_user_email_domains string replace_user_email_domains string find_similar_email_domains
function get_user_email_domains count=256
begin
string Renvoyer tous les noms de do... | # coding: utf-8
from collections import Counter
import Levenshtein
from django.contrib.auth import get_user_model
__all__ = ['get_user_email_domains', 'replace_user_email_domains', 'find_similar_email_domains']
def get_user_email_domains(count=256):
"""
Renvoyer tous les noms de domaine utilisés pour les em... | Python | zaydzuhri_stack_edu_python |
function auto_assign_permission sender instance created **kwargs
begin
if created
begin
call assign_perm string change_post owner instance
call assign_perm string delete_post owner instance
end
end function | def auto_assign_permission(sender, instance, created, **kwargs):
if created:
assign_perm('change_post', instance.owner, instance)
assign_perm('delete_post', instance.owner, instance) | Python | nomic_cornstack_python_v1 |
comment some tools for fomatting markdown files #
import sys
import os
import commenttools
function py_to_md pyfilename pyfiledir mdfilename mdfiledir
begin
comment convert a .py file to a corresponding .md file based on the comments in it
set pyfilepath = join path pyfiledir pyfilename
comment check extensions and exi... | ###########################################
# some tools for fomatting markdown files #
###########################################
import sys
import os
import commenttools
def py_to_md( pyfilename, pyfiledir, mdfilename, mdfiledir ):
### convert a .py file to a corresponding .md file based on the comments in it
... | Python | zaydzuhri_stack_edu_python |
function showtopscores self
begin
set top_scores = call gettopscorerslist CURRENT_GAME_LEVEL
set level_string = string
if CURRENT_GAME_LEVEL == ExpertLevel
begin
set level_string = string Expert level
end
else
if CURRENT_GAME_LEVEL == BeginnerLevel
begin
set level_string = string Beginner level
end
else
begin
set leve... | def showtopscores(self):
top_scores = LeaderBoard.gettopscorerslist(CURRENT_GAME_LEVEL)
level_string = ""
if CURRENT_GAME_LEVEL == DifficultyLevel.ExpertLevel:
level_string = "Expert level"
elif CURRENT_GAME_LEVEL == DifficultyLevel.BeginnerLevel:
level_string = "... | Python | nomic_cornstack_python_v1 |
from typing import List
import heapq
class Solution
begin
function __init__ self
begin
set distance = list
end function
function smallestDistancePair self nums k
begin
set k = k
set i = 0
set L = length nums
while i < L - 1
begin
set j = i + 1
while j < L
begin
set d = nums at i - nums at j
if length distance < k
begi... | from typing import List
import heapq
class Solution:
def __init__(self):
self.distance = []
def smallestDistancePair(self, nums: List[int], k: int) -> int:
self.k = k
i = 0
L = len(nums)
while i < L-1:
j = i+1
while j < L:
d = nu... | Python | zaydzuhri_stack_edu_python |
if valor > 0
begin
print string positivo
end
else
begin
print string negativo
end | if valor > 0:
print ('positivo')
else:
print ('negativo') | Python | zaydzuhri_stack_edu_python |
from hypothesis.strategies import characters , integers
from hypothesis.strategies import composite , lists
from custom.label.comments import label
from custom.verify.comments import verify
function build_comment_str item
begin
return item at string inputs
end function
decorator composite
comment XXX: #! type of commen... | from hypothesis.strategies import characters, integers
from hypothesis.strategies import composite, lists
from custom.label.comments import label
from custom.verify.comments import verify
def build_comment_str(item):
return item["inputs"]
# XXX: #! type of comment is not implemented yet
@composite
def comment_it... | Python | zaydzuhri_stack_edu_python |
function __init__ self riemann_solver=none claw_package=none
begin
set dimensional_split = true
set transverse_waves = trans_inc
set num_dim = 2
set aux1 = none
set aux2 = none
set aux3 = none
set work = none
call __init__ riemann_solver claw_package
end function | def __init__(self,riemann_solver=None, claw_package=None):
self.dimensional_split = True
self.transverse_waves = self.trans_inc
self.num_dim = 2
self.aux1 = None
self.aux2 = None
self.aux3 = None
self.work = None
super(ClawSolver2D,self)._... | Python | nomic_cornstack_python_v1 |
class Solution
begin
function findDuplicates self nums
begin
set output = list
set lookin = set
for i in nums
begin
if i not in lookin
begin
add lookin i
end
else
begin
append output i
end
end
return output
end function
end class | class Solution:
def findDuplicates(self, nums):
output=[]
lookin=set()
for i in nums:
if i not in lookin:
lookin.add(i)
else:
output.append(i)
return output | Python | zaydzuhri_stack_edu_python |
function test_infrastructure_usage_difficulty_can_be_changed self
begin
set change_url = reverse string admin:infrastructure_infrastructureusagedifficultylevel_change args=list pk
set response = post change_url dict string label string Easy
assert equal status_code 302
assert equal label string Easy
assert equal url st... | def test_infrastructure_usage_difficulty_can_be_changed(self):
change_url = reverse('admin:infrastructure_infrastructureusagedifficultylevel_change', args=[self.level.pk])
response = self.client.post(change_url, {'label': 'Easy'})
self.assertEqual(response.status_code, 302)
self.assertEq... | Python | nomic_cornstack_python_v1 |
function load_data fname
begin
set f = open fname string rb
set data = load pickle f encoding=string bytes
close f
set X = list
set Y = list
for d in data
begin
append X d at slice : 784 :
append Y d at 784
end
return tuple array X array Y
end function | def load_data(fname):
f = open(fname, 'rb')
data = pickle.load(f, encoding='bytes')
f.close()
X = []
Y = []
for d in data:
X.append(d[:784])
Y.append(d[784])
return np.array(X), np.array(Y) | Python | nomic_cornstack_python_v1 |
import numpy as np
from decision_tree_learning import *
class EmotionPredictor extends object
begin
function __init__ self
begin
set attributes = array list comprehension i for i in range 45
set emotions = list comprehension i + 1 for i in range 6
comment List of trees containing one tree for each emotion
set trees = l... | import numpy as np
from decision_tree_learning import *
class EmotionPredictor(object):
def __init__(self):
self.attributes = np.array([i for i in range(45)])
self.emotions = [i + 1 for i in range(6)]
# List of trees containing one tree for each emotion
self.trees = []
def tra... | Python | zaydzuhri_stack_edu_python |
string Given two non-negative integers num1 and num2 represented as string, return the sum of num1 and num2. Note: The length of both num1 and num2 is < 5100. Both num1 and num2 contains only digits 0-9. Both num1 and num2 does not contain any leading zero. You must not use any built-in BigInteger library or convert th... | '''
Given two non-negative integers num1 and num2 represented as string, return the sum of num1 and num2.
Note:
The length of both num1 and num2 is < 5100.
Both num1 and num2 contains only digits 0-9.
Both num1 and num2 does not contain any leading zero.
You must not use any built-in BigInteger librar... | Python | zaydzuhri_stack_edu_python |
function SetInput self histogram
begin
return call itkHistogramToIntensityImageFilterHDIF3_Superclass_SetInput self histogram
end function | def SetInput(self, histogram: 'itkHistogramD') -> "void":
return _itkHistogramToIntensityImageFilterPython.itkHistogramToIntensityImageFilterHDIF3_Superclass_SetInput(self, histogram) | Python | nomic_cornstack_python_v1 |
function exception_changer function *args **kwargs
begin
try
begin
call function *args keyword kwargs
end
except Exception as ex
begin
comment Re-raise exception as ValueError with modified message and same
comment traceback as original exception.
raise call with_traceback call exc_info at 2
end
end function | def exception_changer(function, *args, **kwargs):
try:
function(*args, **kwargs)
except Exception as ex:
# Re-raise exception as ValueError with modified message and same
# traceback as original exception.
raise WeirdException("Modified message:" + ex.message + "!").with_tracebac... | Python | nomic_cornstack_python_v1 |
function was_modified self
begin
set recorded = get recorded_mtimes string ensemble
set last = st_mtime
return recorded != last
end function | def was_modified(self) -> bool:
recorded = self.recorded_mtimes.get("ensemble")
last = self.pred_path().stat().st_mtime
return recorded != last | Python | nomic_cornstack_python_v1 |
import csv
import random
import os
try
begin
from config import StartingDataDirectory
end
except any
begin
from config import StartingDataDirectory
end
function randomZ z_max
begin
comment TODO: introduce some sort of smoothing over this, maybe a perlin noise?
return random integer 0 z_max
end function
function generat... | import csv
import random
import os
try:
from ..config import StartingDataDirectory
except:
from config import StartingDataDirectory
def randomZ(z_max):
#TODO: introduce some sort of smoothing over this, maybe a perlin noise?
return random.randint(0, z_max)
def generateStartingElevation(name, x_width=2... | Python | zaydzuhri_stack_edu_python |
comment import some dependencies
import numpy as np
import matplotlib.pyplot as plt
try
begin
import seaborn as sns
set
end
except ImportError
begin
pass
end
import torch
from torch.autograd import Variable
import pyro
import pyro.infer
import pyro.optim
import pyro.distributions as dist
import numpy as np
call manual_... | # import some dependencies
import numpy as np
import matplotlib.pyplot as plt
try:
import seaborn as sns
sns.set()
except ImportError:
pass
import torch
from torch.autograd import Variable
import pyro
import pyro.infer
import pyro.optim
import pyro.distributions as dist
import numpy as np
torch.manual_s... | Python | zaydzuhri_stack_edu_python |
function process_docs self docs min_cf=1 min_df=1 max_docs=none
begin
comment current word index, across all documents
set ii = 0
comment current document index
set jj = 0
set x = zeros num_pos dtype=string int
set j = zeros num_pos dtype=string int
set new_docs = list
if max_docs is none
begin
set max_docs = length d... | def process_docs(self, docs, min_cf=1, min_df=1, max_docs=None):
ii = 0 # current word index, across all documents
jj = 0 # current document index
x = np.zeros(self.vocab.num_pos, dtype='int')
j = np.zeros(self.vocab.num_pos, dtype='int')
new_docs = []
if max_d... | Python | nomic_cornstack_python_v1 |
function predict self inputs
begin
set model_inputs = generator expression call preprocess ex for ex in inputs
set outputs = predict wrapped model_inputs
return generator expression call remap_dict mo FIELD_RENAMES for mo in outputs
end function | def predict(self, inputs):
model_inputs = (self.preprocess(ex) for ex in inputs)
outputs = self.wrapped.predict(model_inputs)
return (utils.remap_dict(mo, self.FIELD_RENAMES) for mo in outputs) | Python | nomic_cornstack_python_v1 |
function scroll_backward_vertically self steps=10 *args **selectors
begin
string Perform scroll backward (vertically)action on the object which has *selectors* attributes. Return whether the object can be Scroll or not. See `Scroll Forward Vertically` for more details.
return backward vert steps=steps
end function | def scroll_backward_vertically(self, steps=10, *args, **selectors):
"""
Perform scroll backward (vertically)action on the object which has *selectors* attributes.
Return whether the object can be Scroll or not.
See `Scroll Forward Vertically` for more details.
"""
retur... | Python | jtatman_500k |
function update_config self config
begin
comment add follower public folder to the CKAN's list of public folders
set here = directory name path __file__
set public_dir = join path here string public
if get config string extra_public_paths
begin
set config at string extra_public_paths = config at string extra_public_pat... | def update_config(self, config):
# add follower public folder to the CKAN's list of public folders
here = os.path.dirname(__file__)
public_dir = os.path.join(here, 'public')
if config.get('extra_public_paths'):
config['extra_public_paths'] += ',' + public_dir
else:
... | Python | nomic_cornstack_python_v1 |
import pickle
import numpy as np
import pandas as pd
set dataset = read csv string train.csv encoding=string latin-1
set x = values
set y = values
import nltk , re
call download string stopwords
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer
set cleaned_tweets_list = list
for i in range 0... | import pickle
import numpy as np
import pandas as pd
dataset = pd.read_csv("train.csv",encoding='latin-1')
x = dataset.iloc[:,2].values
y = dataset.iloc[:,1].values
import nltk,re
nltk.download('stopwords')
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer
cleaned_tweets_list = ... | Python | zaydzuhri_stack_edu_python |
function get_res token nums
begin
try
begin
set res = pop nums
end
except any
begin
print format str string Error: Operator ”{0}" without operand(s) found. token
exit 0
end
if token == string +
begin
for n in nums
begin
set res = res + n
end
set nums at slice : : = list
end
else
if token == string *
begin
for n in ... | def get_res(token, nums):
try:
res = nums.pop()
except:
print(str.format('Error: Operator ”{0}" without operand(s) found.', token))
sys.exit(0)
if token == '+':
for n in nums:
res = res + n
nums[:] = []
elif token == '*':
for n in nums:
... | Python | zaydzuhri_stack_edu_python |
function register_task cls
begin
if not is instance cls type and is subclass cls Task
begin
raise call TypeError string @register_task needs to be used with a subclass of Task, not %s % call repr cls
end
set task_name = call get_task_name
set _task_classes at task_name = cls
function run celery_task *args **kwargs
begi... | def register_task(cls):
if not(isinstance(cls, type) and issubclass(cls, Task)):
raise TypeError(
'@register_task needs to be used with a subclass of Task, not %s' %
repr(cls))
task_name = cls.get_task_name()
_task_classes[task_name] = cls
def run(celery_task, *args, **... | Python | nomic_cornstack_python_v1 |
function queryxml self dbsalias userinput q_start=string q_end=string
begin
set dbsapi = call getapi dbsalias
set dbsxml = call executeQuery userinput begin=q_start end=q_end type=string query
return dbsxml
end function | def queryxml(self, dbsalias, userinput, q_start = "", q_end = ""):
dbsapi = self.getapi(dbsalias)
dbsxml = dbsapi.executeQuery(userinput, begin = q_start, end = q_end, type="query")
return dbsxml | Python | nomic_cornstack_python_v1 |
comment def print_models(unprinted_designs, completed_models):
comment """
comment 模拟打印每个设计，直到没有未打印的设计为止
comment 打印每个设计后，都将其移到completed_models中
comment """
comment while unprinted_designs:
comment current_desing = unprinted_designs.pop()
comment 模拟根据设计制作3D打印模型的过程
comment print('Printing model: ' + current_desing)
comme... | #def print_models(unprinted_designs, completed_models):
#"""
#模拟打印每个设计，直到没有未打印的设计为止
#打印每个设计后，都将其移到completed_models中
#"""
#while unprinted_designs:
#current_desing = unprinted_designs.pop()
##模拟根据设计制作3D打印模型的过程
#print('Printing model: ' + current_desing)
#completed_models.append(current_desing)
#def show... | Python | zaydzuhri_stack_edu_python |
import math
class Solution extends object
begin
function countPrimeSetBits self L R
begin
string 给定两个整数 L 和 R ，找到闭区间 [L, R] 范围内，计算置位位数为质数的整数个数。 （注意，计算置位代表二进制表示中1的个数。例如 21 的二进制表示 10101 有 3 个计算置位。还有，1 不是质数。） --- 输入: L = 6, R = 10 输出: 4 解释: 6 -> 110 (2 个计算置位，2 是质数) 7 -> 111 (3 个计算置位，3 是质数) 9 -> 1001 (2 个计算置位，2 是质数) 10-> 1... | import math
class Solution(object):
def countPrimeSetBits(self, L, R):
"""
给定两个整数 L 和 R ，找到闭区间 [L, R] 范围内，计算置位位数为质数的整数个数。
（注意，计算置位代表二进制表示中1的个数。例如 21 的二进制表示 10101 有 3 个计算置位。还有，1 不是质数。）
---
输入: L = 6, R = 10
输出: 4
解释:
6 -> 110 (2 个计算置位，2 是质数)
7 -> 111 (3 个计算置位，3 是质数)
9 -> 1001 (2 个计算置位，2 是质数)
10-> ... | Python | zaydzuhri_stack_edu_python |
comment ! /usr/bin/env python
import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
import imutils
set vid = call VideoCapture string front.mp4
comment Color Ranges
set light_orange = tuple 5 120 120
set dark_orange = tuple 40 255 255
set light_white = tuple 30 255 255
set dark_white = tuple 40 255 255
if... | #! /usr/bin/env python
import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
import imutils
vid = cv.VideoCapture('front.mp4')
#Color Ranges
light_orange = (5, 120, 120)
dark_orange = (40, 255, 255)
light_white = (30, 255, 255)
dark_white = (40, 255, 255)
if(vid.isOpened() == False):
print("Error ... | Python | zaydzuhri_stack_edu_python |
function empty self
begin
warn string Emptying asset of children. extra=dictionary asset=id
comment "only" here is an optimization to speed up signal delivery
delete _from_doc_delete=true
return self
end function | def empty(self):
log.warn("Emptying asset of children.", extra=dict(asset=self.id))
# "only" here is an optimization to speed up signal delivery
self.children.only('id').delete(_from_doc_delete=True)
return self | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
from lightgbm import LGBMClassifier
from sklearn.preprocessing import MinMaxScaler
if __name__ == string __main__
begin
set X_train = read csv string ../203_biol/data/train.csv
set X_test = read csv string ../203_biol/data/test.csv
set y_train = X_train at string Activity
drop X_t... | import pandas as pd
import numpy as np
from lightgbm import LGBMClassifier
from sklearn.preprocessing import MinMaxScaler
if __name__ == "__main__":
X_train = pd.read_csv("../203_biol/data/train.csv")
X_test = pd.read_csv("../203_biol/data/test.csv")
y_train = X_train["Activity"]
X_train... | Python | zaydzuhri_stack_edu_python |
function invcdf p k theta
begin
with call extradps 5
begin
set p = call _validate_p p
if p == 0
begin
return ninf
end
if p == 1
begin
return inf
end
set tuple k theta = call _validate_k_theta k theta
set tuple x0 x1 = call _find_bracket lambda t -> call cdf t k theta p - inf inf
set root = call findroot lambda t -> cal... | def invcdf(p, k, theta):
with mp.extradps(5):
p = _validate_p(p)
if p == 0:
return mp.ninf
if p == 1:
return mp.inf
k, theta = _validate_k_theta(k, theta)
x0, x1 = _find_bracket(lambda t: cdf(t, k, theta), p, -mp.inf, mp.inf)
root = mp.findroot... | Python | nomic_cornstack_python_v1 |
function path self
begin
return get pulumi self string path
end function | def path(self) -> pulumi.Input[str]:
return pulumi.get(self, "path") | Python | nomic_cornstack_python_v1 |
function create_comission_plan request
begin
set serializer = call ComissionPlanSerializer data=data
if call is_valid
begin
set data = save
set response = dict string id id
return call Response response status=HTTP_201_CREATED
end
return call Response errors status=HTTP_400_BAD_REQUEST
end function | def create_comission_plan(request):
serializer = ComissionPlanSerializer(data=request.data)
if serializer.is_valid():
data = serializer.save()
response = {
"id": data.id
}
return Response(response, status=status.HTTP_201_CREATED)
return Response(serializer.errors,... | Python | nomic_cornstack_python_v1 |
function eps_nn X eps=1.0
begin
from utils.fast_distance import euclidean_distance
if size np X == shape at 0
begin
set X = reshape np X tuple size np X 1
end
try
begin
set eps = decimal eps
end
except any
begin
string eps cannot be cast to a float
end
if call isnan eps
begin
raise call ValueError string eps is nan
end... | def eps_nn(X, eps=1.):
from ..utils.fast_distance import euclidean_distance
if np.size(X) == X.shape[0]:
X = np.reshape(X, (np.size(X), 1))
try:
eps = float(eps)
except:
"eps cannot be cast to a float"
if np.isnan(eps):
raise ValueError('eps is nan')
if np.isinf(e... | Python | nomic_cornstack_python_v1 |
function __generate_number_boleto_fake self
begin
set numbers = string 0123456789
return join string generator expression random choice numbers for character in range 48
end function | def __generate_number_boleto_fake(self):
numbers = "0123456789"
return "".join(random.choice(numbers) for character in range(48)) | Python | nomic_cornstack_python_v1 |
function append self val
begin
concat call Linked val
end function | def append(self, val: T) -> None:
self.concat(Linked(val)) | Python | nomic_cornstack_python_v1 |
import warnings
filter warnings string ignore
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from pydataset import data
import acquire as aq
import prepare as pr
from sklearn.model_selection import train_test_split
from sklearn.impute import SimpleImputer
import scipy.stats... | import warnings
warnings.filterwarnings("ignore")
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from pydataset import data
import acquire as aq
import prepare as pr
from sklearn.model_selection import train_test_split
from sklearn.impute import SimpleImputer
import scipy.... | Python | zaydzuhri_stack_edu_python |
function compare_dicts first second
begin
set diff : Diff = list
for tuple key _ in sorted items first
begin
if key not in second
begin
append diff tuple key first at key none
end
end
for tuple key _ in sorted items second
begin
if key not in first
begin
append diff tuple key none second at key
end
end
set all_keys : ... | def compare_dicts(first: Dict[str, str], second: Dict[str, str]) -> Diff:
diff: Diff = []
for key, _ in sorted(first.items()):
if key not in second:
diff.append((key, first[key], None))
for key, _ in sorted(second.items()):
if key not in first:
diff.append((key, None... | Python | nomic_cornstack_python_v1 |
function save_model outcode_regex boilerplate_text
begin
call save_to_s3 string outcode_regex.txt outcode_regex
call save_to_s3 string boilerplate_text.txt boilerplate_text
end function | def save_model(outcode_regex, boilerplate_text):
save_to_s3('outcode_regex.txt', outcode_regex)
save_to_s3('boilerplate_text.txt', boilerplate_text) | Python | nomic_cornstack_python_v1 |
function test_get_context_dict self
begin
set context_dict = call get_context_dict
set test_dict = dict string maven:formula string sprinter.formula.unpack ; string maven:specific_version string 2.10 ; string ant:formula string sprinter.formula.unpack ; string mysql:formula string sprinter.formula.package ; string sub:... | def test_get_context_dict(self):
context_dict = self.old_manifest.get_context_dict()
test_dict = {
"maven:formula": "sprinter.formula.unpack",
"maven:specific_version": "2.10",
"ant:formula": "sprinter.formula.unpack",
"mysql:formula": "sprinter.formula.pa... | Python | nomic_cornstack_python_v1 |
import calendar as c
from datetime import *
print call month 2021 2
set d = today
print string Date format : d
print string Year : year
print string Month : month
print string Hour : hour
print string Minute : minute
print string Second : second | import calendar as c
from datetime import *
print(c.month(2021,2))
d=datetime.today()
print("Date format :",d)
print("Year :",d.year)
print("Month :",d.month)
print("Hour :",d.hour)
print("Minute :",d.minute)
print("Second :",d.second)
| Python | zaydzuhri_stack_edu_python |
function repository_integration hacs
begin
set repository_obj = call HacsIntegrationRepository hacs string test/test
yield call dummy_repository_base hacs repository_obj
end function | def repository_integration(hacs):
repository_obj = HacsIntegrationRepository(hacs, "test/test")
yield dummy_repository_base(hacs, repository_obj) | Python | nomic_cornstack_python_v1 |
from PIL import Image
import random
import numpy as np
import cv2
class ad extends object
begin
function __init__ self gender item pattern color link
begin
set gender = gender
set item = item
set pattern = pattern
set color = color
set link = link
end function
function get_image self
begin
set image = call imread strin... | from PIL import Image
import random
import numpy as np
import cv2
class ad(object):
def __init__(self, gender, item, pattern, color, link):
self.gender = gender
self.item = item
self.pattern = pattern
self.color = color
self.link = link
def get_image(self):
image = cv2.imread('./ad_retrieval/' + self.li... | Python | zaydzuhri_stack_edu_python |
function test_compute_perfect_model_da1d_not_nan_crpss_quadratic PM_da_initialized_1d PM_da_control_1d
begin
set actual = any
assert not actual
end function | def test_compute_perfect_model_da1d_not_nan_crpss_quadratic(
PM_da_initialized_1d, PM_da_control_1d
):
actual = (
compute_perfect_model(
PM_da_initialized_1d.isel(lead=[0]),
PM_da_control_1d,
comparison='m2c',
metric='crpss',
gaussian=False,
... | Python | nomic_cornstack_python_v1 |
from multilayer_feed_forward_network import MultilayerFeedForwardNetwork as Network
set layers = list 2 3 2
comment Input layer, 3 neurons
comment First hidden layer, 5 neurons
comment Second hidden layer, 4 neurons
comment 7, # Third hidden layer, 7 neurons
comment 2 # Output layer, 2 neurons
set network = call Networ... | from multilayer_feed_forward_network import MultilayerFeedForwardNetwork as Network
layers = [
2, # Input layer, 3 neurons
3, # First hidden layer, 5 neurons
2, # Second hidden layer, 4 neurons
# 7, # Third hidden layer, 7 neurons
# 2 # Output layer, 2 neurons
]
network = Network(layers)
input_1 ... | Python | zaydzuhri_stack_edu_python |
comment $NON-NLS-1$
function getAtomEntry self editLink
begin
set atomRequest = call _createGetEntryRequest editLink
call _sendAtomRequest atomRequest
set rval = call getEntry
del atomRequest
return rval
end function | def getAtomEntry(self, editLink): #$NON-NLS-1$
atomRequest = self._createGetEntryRequest(editLink)
self._sendAtomRequest(atomRequest)
rval = atomRequest.getEntry()
del atomRequest
return rval | Python | nomic_cornstack_python_v1 |
function get_damage self amount
begin
set health = health - amount
end function | def get_damage(self, amount: float) -> None:
self.health = self.health - amount | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python3
string Unittest for max_integer([..])
import unittest
set max_integer = max_integer
class TestMaxInteger extends TestCase
begin
string max_integer unittest
function test_max_integer self
begin
string test_max_integer function
assert equal call max_integer list 1 2 3 4 4
assert equal call max_i... | #!/usr/bin/python3
"""Unittest for max_integer([..])
"""
import unittest
max_integer = __import__('6-max_integer').max_integer
class TestMaxInteger(unittest.TestCase):
""" max_integer unittest"""
def test_max_integer(self):
""" test_max_integer function """
self.assertEqual(max_integer([1, 2, ... | Python | zaydzuhri_stack_edu_python |
async function write_error name url error_type
begin
async_with open string error_locations.csv string a as f
begin
await write f string { name } , { url } , { error_type }
end
end function | async def write_error(name, url, error_type):
async with aiofiles.open(f"error_locations.csv", "a") as f:
await f.write(f"{name},{url},{error_type}\n") | Python | nomic_cornstack_python_v1 |
function SetNormalFont self font
begin
set _normal_font = font
end function | def SetNormalFont(self, font):
self._normal_font = font | Python | nomic_cornstack_python_v1 |
comment comment:
comment f2 sub.py | #comment:
# f2 sub.py
| Python | zaydzuhri_stack_edu_python |
function by_ids self task_ids
begin
return all
end function | def by_ids(self, task_ids):
return self.restrict().filter(Task.task_id.in_(task_ids)).all() | Python | nomic_cornstack_python_v1 |
function show_popup self data
begin
set store = call get_store
set rows = 1 + get store string Nbtimecompound at string value
comment the first µEOF
call add_widget call CEToolBoxLabel text=call add_color string µEOF : string FFFFFF
set value = format string {:.2E} get store string MicroEOF at string value
set value = ... | def show_popup(self, data):
store = get_store()
self.ids.inlayout.rows = 1 + store.get('Nbtimecompound')["value"]
#the first µEOF
self.ids.inlayout.add_widget(CEToolBoxLabel(text=add_color("µEOF :","FFFFFF")))
value = "{:.2E}".format(store.get('MicroEOF')["value"])
... | Python | nomic_cornstack_python_v1 |
function from_serializable cls contents
begin
return call cls keyword contents
end function | def from_serializable(cls, contents):
return cls(**contents) | Python | nomic_cornstack_python_v1 |
import pickle , base64
from django_redis import get_redis_connection
function merge_cart_cookie_to_redis request user response
begin
string 登录时购物车的cookie合并到redis
comment 获取cookie中的购物车数据
set cookie_cart_str = get COOKIES string cart
if not cookie_cart_str or cookie_cart_str == string
begin
return response
end
set cooki... | import pickle, base64
from django_redis import get_redis_connection
def merge_cart_cookie_to_redis(request, user, response):
"""登录时购物车的cookie合并到redis"""
# 获取cookie中的购物车数据
cookie_cart_str = request.COOKIES.get('cart')
if not cookie_cart_str or cookie_cart_str == '':
return response
cookie_... | Python | zaydzuhri_stack_edu_python |
comment *=======================================================*
comment -*- coding:utf-8 -*-
comment * time : 2020-03-18 15:34
comment * author : lichengyi
comment *=======================================================*
comment concordance data
string 1、首先把一个日期文件内的所有压缩文件全部解压缩存放格式为shared1 2、扫描所有解压缩的文件，发现一个交易所的名称就产生一... | # *=======================================================*
# -*- coding:utf-8 -*-
# * time : 2020-03-18 15:34
# * author : lichengyi
# *=======================================================*
# concordance data
'''
1、首先把一个日期文件内的所有压缩文件全部解压缩存放格式为shared1
2、扫描所有解压缩的文件，发现一个交易所的名称就产生一个对应的文件夹，
同时把此时的文件存放进去对应的文件夹，按照在cp进去的... | Python | zaydzuhri_stack_edu_python |
function check_item self
begin
set itemNumber = integer item_number_text
try
begin
comment get item info
set tuple name price amount = call get_item_details itemNumber
end
except InvalidItemNumberException
begin
return
end
try
begin
comment try to buy item
set tuple change item = call pay_for_item itemNumber
for c in c... | def check_item(self) -> None:
itemNumber = int(self.item_number_text)
try:
#get item info
name, price, amount = self.automat.get_item_details(itemNumber)
except at.InvalidItemNumberException:
return
try:
#try to buy item
change,... | Python | nomic_cornstack_python_v1 |
import math
import heapq
import sys
import string
import random
import time
import pdb
comment CS 4780/5780 k-Nearest Neighbor implementation example code
comment by Joshua L. Moore, August/September 2012
comment To run the experiment over all users for a particular parameter setting, run
comment python knn_cf.py exp n... | import math
import heapq
import sys
import string
import random
import time
import pdb;
# CS 4780/5780 k-Nearest Neighbor implementation example code
# by Joshua L. Moore, August/September 2012
#
# To run the experiment over all users for a particular parameter setting, run
# python knn_cf.py exp nnk (list of integer ... | Python | zaydzuhri_stack_edu_python |
function get_authserver self domainid serverid
begin
string Get an Authentication server
return call api_call ENDPOINTS at string authservers at string get dictionary domainid=domainid serverid=serverid
end function | def get_authserver(self, domainid, serverid):
"""Get an Authentication server"""
return self.api_call(
ENDPOINTS['authservers']['get'],
dict(domainid=domainid, serverid=serverid)) | Python | jtatman_500k |
function test_last_chapter self
begin
set url = string http://www.mangapanda.com/naruto/700
set expected = dict string next_chapter_url none
call _test_chapter self site url expected
end function | def test_last_chapter(self):
url = 'http://www.mangapanda.com/naruto/700'
expected = {
'next_chapter_url': None,
}
_test_chapter(self, site, url, expected) | Python | nomic_cornstack_python_v1 |
function do_spline x_values y_values
begin
comment ATTENTION: current implementation of spline does not work for
comment the samples CVchapita05Videm.txt and CVchapita08V.txt
comment The underlying Fortran rutine fails with no further information.
comment spline parameters
comment smoothness parameter
set s = 3.0
comme... | def do_spline(x_values, y_values):
# ATTENTION: current implementation of spline does not work for
# the samples CVchapita05Videm.txt and CVchapita08V.txt
# The underlying Fortran rutine fails with no further information.
# spline parameters
s=3.0 # smoothness parameter
k=3 # spline order
... | Python | nomic_cornstack_python_v1 |
from matplotlib import pyplot as plt
import numpy as np
import cv2 as cv
from skimage import exposure
function image_histogram_equalization image number_bins=256
begin
comment get image histogram
set tuple image_histogram bins = call histogram flatten image number_bins density=true
comment cumulative distribution funct... | from matplotlib import pyplot as plt
import numpy as np
import cv2 as cv
from skimage import exposure
def image_histogram_equalization(image, number_bins=256):
# get image histogram
image_histogram, bins = np.histogram(image.flatten(), number_bins, density=True)
cdf = image_histogram.cumsum() # cumulative ... | Python | zaydzuhri_stack_edu_python |
import sys
with open argv at 1 as f
begin
next
for tuple case_number case in enumerate f 1
begin
set tuple farm_cost farm_boost goal = map float split strip case
set time = 0
set farms = 0
while true
begin
set next_farm = farm_cost / 2 + farm_boost * farms
set goal_time = goal / 2 + farm_boost * farms
set goal_time_wit... | import sys
with open(sys.argv[1]) as f:
f.next()
for case_number, case in enumerate(f, 1):
farm_cost, farm_boost, goal = map(float, case.strip().split())
time = 0
farms = 0
while(True):
next_farm = farm_cost / (2 + farm_boost * farms)
goal_time = goal / (2 + farm_boost * farms)
goal_time_with_farm =... | Python | zaydzuhri_stack_edu_python |
function main d_sr f_max_src
begin
comment integer that sorts of the saved folders in the results dir.
set case = 1
comment sound speed, float (m.s-1).
set c = 340.0
comment air density, float (kg.m-3).
set rho = 1.2
comment T_delay + 2T_sim = simulation duration, float (s).
set T = 1.0 / 50 + 2 * 1.0 / 50.0
comment ~ ... | def main(d_sr, f_max_src):
case = 1 # integer that sorts of the saved folders in the results dir.
c = 340. # sound speed, float (m.s-1).
rho = 1.2 # air density, float (kg.m-3).
T = 1./50 + 2 * 1./50. # T_delay + 2T_sim = simulation duration, float (s).
# ~ T = 2.0 * 10 ** -2 s = 20 ms,
... | Python | nomic_cornstack_python_v1 |
function test_webp_animated index
begin
comment gif2webp frames.u1.gif -kmin 1 -kmax 1 -o frames.webp
set decode = webp_decode
comment TODO: test animation with partial frames
set data = call readfile string frames.webp
assert call webp_check data
set decoded = decode data index=index
set expected = call image_data str... | def test_webp_animated(index):
# gif2webp frames.u1.gif -kmin 1 -kmax 1 -o frames.webp
decode = imagecodecs.webp_decode
# TODO: test animation with partial frames
data = readfile('frames.webp')
assert imagecodecs.webp_check(data)
decoded = decode(data, index=index)
expected = image_data('gra... | Python | nomic_cornstack_python_v1 |
function sequences self
begin
string Sequence declaration lines.
set lines = call Lines
add lines 0 string @cython.final
add lines 0 string cdef class Sequences(object):
for subseqs in sequences
begin
add lines 1 string cdef public %s %s % tuple call classname subseqs name
end
if get attribute sequences string states n... | def sequences(self):
"""Sequence declaration lines."""
lines = Lines()
lines.add(0, '@cython.final')
lines.add(0, 'cdef class Sequences(object):')
for subseqs in self.model.sequences:
lines.add(1, 'cdef public %s %s'
% (objecttools.classname(s... | Python | jtatman_500k |
from math import fabs
set a = decimal input string Digite o primeiro comprimento:
set b = decimal input string Digite o segundo comprimento:
set c = decimal input string Digite o terceiro comprimento:
set cores = dict string sem string [m ; string azul string [36;1m
comment Outra forma de calcular:
comment a < b + c ... | from math import fabs
a = float(input('Digite o primeiro comprimento: '))
b = float(input('Digite o segundo comprimento: '))
c = float(input('Digite o terceiro comprimento: '))
cores = {'sem':'\033[m', 'azul':'\033[36;1m'}
# Outra forma de calcular:
# a < b + c and b < a + c and c < a + b
if (fabs(b - c) < a <... | Python | zaydzuhri_stack_edu_python |
function get_partial_sampler mode class_weights
begin
if mode is not none
begin
set sampler = partial frequency_weighted_sampler class_weights=class_weights mode=lower mode
end
else
begin
set sampler = none
end
return sampler
end function | def get_partial_sampler(mode, class_weights):
if mode is not None:
sampler = partial(
data.utils.frequency_weighted_sampler,
class_weights=class_weights,
mode=mode.lower(),
)
else:
sampler = None
return sampler | Python | nomic_cornstack_python_v1 |
function SarsaLambda env gamma lam alpha X num_episode
begin
comment openai gym environment
comment discount factor
comment decay rate
comment step size
function epsilon_greedy_policy s done w epsilon=0.05
begin
set nA = n
set Q = list comprehension dot w call X s done a for a in range nA
if call rand < epsilon
begin
r... | def SarsaLambda(
env, # openai gym environment
gamma:float, # discount factor
lam:float, # decay rate
alpha:float, # step size
X:StateActionFeatureVectorWithTile,
num_episode:int,
) -> np.array:
def epsilon_greedy_policy(s, done, w, epsilon=0.05):
nA = env.action_space.n
Q ... | Python | nomic_cornstack_python_v1 |
import itertools
import socket
import json
import time
from payload import payload
function chunks iterable size
begin
set it = iterate iterable
while true
begin
set chunk = tuple iterator slice it size
if not chunk
begin
break
end
yield chunk
end
end function
class Client
begin
function __init__ self server_host serve... | import itertools
import socket
import json
import time
from payload import payload
def chunks(iterable, size):
it = iter(iterable)
while True:
chunk = tuple(itertools.islice(it, size))
if not chunk:
break
yield chunk
class Client:
def __init__(self, server_host: str, ... | Python | zaydzuhri_stack_edu_python |
function test_atomic_byte_enumeration_2_nistxml_sv_iv_atomic_byte_enumeration_3_5 mode save_output output_format
begin
call assert_bindings schema=string nistData/atomic/byte/Schema+Instance/NISTSchema-SV-IV-atomic-byte-enumeration-3.xsd instance=string nistData/atomic/byte/Schema+Instance/NISTXML-SV-IV-atomic-byte-enu... | def test_atomic_byte_enumeration_2_nistxml_sv_iv_atomic_byte_enumeration_3_5(mode, save_output, output_format):
assert_bindings(
schema="nistData/atomic/byte/Schema+Instance/NISTSchema-SV-IV-atomic-byte-enumeration-3.xsd",
instance="nistData/atomic/byte/Schema+Instance/NISTXML-SV-IV-atomic-byte-enum... | Python | nomic_cornstack_python_v1 |
from sklearn.naive_bayes import MultinomialNB
import numpy as np
comment [é gordinho, tem perna curta, faz auaua]
set porco1 = list 1 1 0
set porco2 = list 1 1 0
set porco3 = list 1 1 0
set cachorro4 = list 1 1 1
set cachorro5 = list 0 1 1
set cachorro6 = list 0 1 1
set dados = list porco1 porco2 porco3 cachorro4 cacho... | from sklearn.naive_bayes import MultinomialNB
import numpy as np
# [é gordinho, tem perna curta, faz auaua]
porco1 = [1, 1, 0]
porco2 = [1, 1, 0]
porco3 = [1, 1, 0]
cachorro4 = [1, 1, 1]
cachorro5 = [0, 1, 1]
cachorro6 = [0, 1, 1]
dados = [porco1, porco2, porco3, cachorro4, cachorro5, cachorro6]
# 1 é porco e -1 é c... | Python | zaydzuhri_stack_edu_python |
function test_newlinesBeforeLineBreaking self
begin
comment Because MAX_COMMAND_LENGTH includes framing characters, this long
comment line is slightly longer than half the permissible message size.
set longline = string o * MAX_COMMAND_LENGTH // 2
call msg string foo longline + string + longline
assert equal lines lis... | def test_newlinesBeforeLineBreaking(self):
# Because MAX_COMMAND_LENGTH includes framing characters, this long
# line is slightly longer than half the permissible message size.
longline = "o" * (irc.MAX_COMMAND_LENGTH // 2)
self.client.msg("foo", longline + "\n" + longline)
self... | Python | nomic_cornstack_python_v1 |
function name self
begin
return call Sigma2qg2LEDqg_name self
end function | def name(self):
return _pythia8.Sigma2qg2LEDqg_name(self) | Python | nomic_cornstack_python_v1 |
function test_derivatives prior_type scale
begin
if prior_type in list string uniform string parameterScaleUniform
begin
set prior_parameters = list - 1 1
end
else
begin
set prior_parameters = list 1 1
end
set prior_dict = call get_parameter_prior_dict 0 prior_type prior_parameters scale
comment use this x0, since it i... | def test_derivatives(prior_type, scale):
if prior_type in ['uniform', 'parameterScaleUniform']:
prior_parameters = [-1, 1]
else:
prior_parameters = [1, 1]
prior_dict = get_parameter_prior_dict(
0, prior_type, prior_parameters, scale)
# use this x0, since it is a moderate value... | Python | nomic_cornstack_python_v1 |
function save self *args **kwargs
begin
if not data
begin
call set_link_data
end
save *args keyword kwargs
end function | def save(self, *args, **kwargs):
if not self.data:
self.set_link_data()
super(Link, self).save(*args, **kwargs) | Python | nomic_cornstack_python_v1 |
function process_request self request operation_type **kwargs
begin
try
begin
set tuple runner_view __ = call _get_producer operation_type
end
except ValueError
begin
return call redirect string home
end
return call runner_view request operation_type=operation_type keyword kwargs
end function | def process_request(
self,
request: http.HttpRequest,
operation_type: int,
**kwargs
) -> http.HttpResponse:
try:
runner_view, __ = self._get_producer(operation_type)
except ValueError:
return redirect('home')
return run... | Python | nomic_cornstack_python_v1 |
function port self
begin
return port
end function | def port(self) -> 'Returns the Port Number of server(int)':
return self._parameters.port | Python | nomic_cornstack_python_v1 |
function EnableUnresBandwidth self
begin
if force_auto_sync
begin
get self string EnableUnresBandwidth
end
return _EnableUnresBandwidth
end function | def EnableUnresBandwidth(self):
if self.force_auto_sync:
self.get('EnableUnresBandwidth')
return self._EnableUnresBandwidth | Python | nomic_cornstack_python_v1 |
comment 0과 1은 더하는게 더 크다
function find_max_plus_or_multiply array
begin
set result = 0
for i in array
begin
if i <= 1 or result <= 1
begin
set result = result + i
end
else
begin
set result = result * i
end
end
return result
end function
set result = call find_max_plus_or_multiply input
print result | #0과 1은 더하는게 더 크다
def find_max_plus_or_multiply(array):
result = 0
for i in array:
if (i <= 1) or result <= 1:
result = result + i
else:
result = result * i
return result
result = find_max_plus_or_multiply(input)
print(result) | Python | zaydzuhri_stack_edu_python |
import math
import os
import datetime
import pickle
function load_solution path
begin
if not exists path path
begin
return false
end
with open path string rb as f
begin
return load pickle f
end
end function
function export_solution path obj name=none
begin
if not exists path path
begin
return false
end
if name is none
... | import math
import os
import datetime
import pickle
def load_solution(path):
if not os.path.exists(path):
return False
with open(path, 'rb') as f:
return pickle.load(f)
def export_solution(path, obj, name=None):
if not os.path.exists(path):
return False
if name is None:
... | Python | zaydzuhri_stack_edu_python |
function bagOfWords text words
begin
set sentenceWords = call clean text
set bag = list 0 * length words
for s in sentenceWords
begin
for tuple i w in enumerate words
begin
if w == s
begin
set bag at i = 1
end
end
end
return array bag
end function | def bagOfWords(text: str, words: List[str]):
sentenceWords = clean(text)
bag = [0]*len(words)
for s in sentenceWords:
for i,w in enumerate(words):
if w == s:
bag[i] = 1
return(numpy.array(bag)) | Python | nomic_cornstack_python_v1 |
import _thread
from slidingPuzzle_values import slidingPuzzle_value
class Algorithms
begin
set solved = false
set maxNodeExplored = 0
set maxNodeExpanded = 0
set answerDepth = 0
function find self board x
begin
for i in range 0 3
begin
for j in range 0 3
begin
if board at i at j == x
begin
return tuple i j
end
end
end
... | import _thread
from slidingPuzzle_values import slidingPuzzle_value
class Algorithms:
solved = False
maxNodeExplored = 0
maxNodeExpanded = 0
answerDepth = 0
def find(self, board, x):
for i in range(0, 3):
for j in range(0, 3):
if (board[i][j] == x):
... | Python | zaydzuhri_stack_edu_python |
function mod_agreement_index self j=1
begin
set a = absolute predicted - true ^ j
set b = absolute predicted - mean np true
set c = absolute true - mean np true
set e = b + c ^ j
return decimal 1 - sum a / sum e
end function | def mod_agreement_index(self, j=1) -> float:
a = (np.abs(self.predicted - self.true)) ** j
b = np.abs(self.predicted - np.mean(self.true))
c = np.abs(self.true - np.mean(self.true))
e = (b + c) ** j
return float(1 - (np.sum(a) / np.sum(e))) | Python | nomic_cornstack_python_v1 |
function get_registered_outcomes self
begin
return tuple _outcomes
end function | def get_registered_outcomes(self):
return tuple(self._outcomes) | Python | nomic_cornstack_python_v1 |
import calendar as cld
comment print(cld.month(2021,3))
comment print(cld.month(1998,8))
print call calendar 2021 | import calendar as cld
#print(cld.month(2021,3))
#print(cld.month(1998,8))
print(cld.calendar(2021))
| Python | zaydzuhri_stack_edu_python |
function get_cameras_and_zones config
begin
set cameras_zones = set
for camera in keys get config string cameras dict
begin
add cameras_zones camera
for zone in keys get config at string cameras at camera string zones dict
begin
add cameras_zones zone
end
end
return cameras_zones
end function | def get_cameras_and_zones(config: dict[str, Any]) -> set[str]:
cameras_zones = set()
for camera in config.get("cameras", {}).keys():
cameras_zones.add(camera)
for zone in config["cameras"][camera].get("zones", {}).keys():
cameras_zones.add(zone)
return cameras_zones | Python | nomic_cornstack_python_v1 |
for i in range primeiro_termo decimo + razao razao
begin
print i end=string
end | for i in range(primeiro_termo, decimo + razao, razao):
print(i, end=" ")
| Python | zaydzuhri_stack_edu_python |
function up_array arr
begin
if length arr != 0
begin
for tuple i char in enumerate arr
begin
if arr at i >= 10
begin
return none
end
else
begin
set arr at i = string arr at i
end
end
end
try
begin
set num = list string integer join string arr + 1
for tuple i char in enumerate num
begin
set num at i = integer num at i
... | def up_array(arr):
if len(arr) != 0:
for i, char in enumerate(arr):
if arr[i] >= 10:
return None
else:
arr[i] = str(arr[i])
try:
num = list(str(int("".join(arr)) + 1))
for i, char in enumerate(num):
num[i] = int(num[i])
return num
except ValueError:
return None
return None | Python | zaydzuhri_stack_edu_python |
function report LOGDIR epoch e_dict saver sess fh_log
begin
comment print loss
print string Epoch: %i; Loss: %f; KLd: %f; CE %f % tuple epoch e_dict at string loss at - 1 e_dict at string KLd at - 1 e_dict at string CE at - 1
write fh_log string %i %0.5e %0.5e %0.5e % tuple epoch e_dict at string loss at - 1 e_dict at ... | def report(LOGDIR, epoch, e_dict, saver, sess, fh_log):
# print loss
print ("Epoch: %i; Loss: %f; KLd: %f; CE %f" % (epoch, e_dict["loss"][-1], e_dict["KLd"][-1], e_dict["CE"][-1]))
fh_log.write("%i\t%0.5e\t%0.5e\t%0.5e\n" % (epoch, e_dict["loss"][-1], e_dict["KLd"][-1], e_dict["CE"][-1])) | Python | nomic_cornstack_python_v1 |
function run_pandoc text=string args=none pandoc_path=none
begin
if args is none
begin
set args = list
end
if pandoc_path is none
begin
comment initialize the global PANDOC_PATH
if PANDOC_PATH is none
begin
set temp = which string pandoc
if temp is none
begin
raise call OSError string Path to pandoc executable does n... | def run_pandoc(text='', args=None, pandoc_path=None):
if args is None:
args = []
if pandoc_path is None:
# initialize the global PANDOC_PATH
if PANDOC_PATH is None:
temp = which('pandoc')
if temp is None:
raise OSError("Path to pandoc executable do... | Python | nomic_cornstack_python_v1 |
comment Time Complexity : O(M * N) where M = # of rows, N = # of columns
comment Space Complexity : O(M * N) where M = # of rows, N = # of columns
comment Did this code successfully run on Leetcode : No
comment Any problem you faced while coding this : I was the getting 1 more than the actual answer for the given test ... | # Time Complexity : O(M * N) where M = # of rows, N = # of columns
# Space Complexity : O(M * N) where M = # of rows, N = # of columns
# Did this code successfully run on Leetcode : No
# Any problem you faced while coding this : I was the getting 1 more than the actual answer for the given test case
class Solution:
... | Python | zaydzuhri_stack_edu_python |
comment These are Monitors
print string ___________________ |*\_/*|___________ | _____________ | ||_/-\_|_________ |
print string | | | | | | | | | | 0 0 | | | | 0 0 | |
print string | | - | | | | - | | | | \___/ | | | | \___/ | |
print string | |___ ___| | | |______________| | |______ |\_/| ______| |__________________... | # These are Monitors
print(" ___________________\t\t\t\t\t|*\_/*|___________\n| _____________ |\t\t\t\t ||_/-\_|_________ |")
print("| |\t\t\t | |\t\t\t\t | |\t\t\t\t| |\n| |\t0\t0\t | |\t\t\t\t | |\t 0 0\t| |")
print("| |\t - \t | |\t\t\t\t | |\t - \t| |\n| |\t\___/\t | |\t\t\t\t | |\t... | Python | zaydzuhri_stack_edu_python |
function startup self override_args=none
begin
set _app_name = argv at 0
if override_args
begin
set my_args = list _app_name
set my_args = my_args + override_args
end
else
begin
set my_args = argv at slice : :
end
if length my_args != 2
begin
print format string Usage: {0} sitl run with built-in SITL simulator {0} r... | def startup(self, override_args=None):
self._app_name = sys.argv[0]
if override_args:
my_args = [self._app_name]
my_args = my_args + override_args
else:
my_args = sys.argv[:]
if len(my_args) != 2:
print("""Usage:
{0} sitl
run with b... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import os
if is file path string usercreds.txt
begin
with open string usercreds.txt as f
begin
for line in f
begin
if string username in line
begin
set username = split line string = at 1
end
else
begin
set password = split line string = at 1
end
end
print password
end
end
else
begin
with o... | #!/usr/bin/env python
import os
if os.path.isfile('usercreds.txt'):
with open("usercreds.txt") as f:
for line in f:
if 'username' in line:
username=line.split('=')[1]
else:
password=line.split('=')[1]
print(password)
else:
with open("user... | Python | zaydzuhri_stack_edu_python |
function choose_torch_device gpus
begin
if call is_available and length gpus > 0
begin
assert call device_count >= length gpus
set device = device string cuda:0
print string Using device: { call get_device_name device } unit { gpus at 0 } .
end
else
begin
print string Using CPU device.
set device = device string cpu
en... | def choose_torch_device(gpus: list):
if torch.cuda.is_available() and len(gpus) > 0:
assert torch.cuda.device_count() >= len(gpus)
device = torch.device("cuda:0")
print(f"Using device: {torch.cuda.get_device_name(device)} unit {gpus[0]}.")
else:
print(f"Using CPU device.")
... | Python | nomic_cornstack_python_v1 |
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