code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.select import Select
from selenium.webdriver.support.wait import WebDriverWait
set driver = ca... | import time
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.select import Select
from selenium.webdriver.support.wait import WebDriverWait
driver = webd... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder , OneHotEncoder
from sklearn.preprocessing import StandardScaler
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam
from bokeh.plot... | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder,OneHotEncoder
from sklearn.preprocessing import StandardScaler
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam
from bokeh.plotti... | Python | zaydzuhri_stack_edu_python |
function _latex_item_to_string item escape=false post_convert=none
begin
if has attribute item string dumps
begin
set s = dumps
end
else
begin
set s = string item
if escape
begin
set s = call escape_latex s
end
end
if post_convert
begin
return call post_convert s
end
return s
end function | def _latex_item_to_string(item, escape=False, post_convert=None):
if hasattr(item, 'dumps'):
s = item.dumps()
else:
s = str(item)
if escape:
s = escape_latex(s)
if post_convert:
return post_convert(s)
return s | Python | nomic_cornstack_python_v1 |
async function test_add_new_binary_sensor_ignored hass aioclient_mock mock_deconz_websocket
begin
set sensor = dict string name string Presence sensor ; string type string ZHAPresence ; string state dict string presence false ; string config dict string on true ; string reachable true ; string uniqueid string 00:00:00:... | async def test_add_new_binary_sensor_ignored(
hass, aioclient_mock, mock_deconz_websocket
):
sensor = {
"name": "Presence sensor",
"type": "ZHAPresence",
"state": {"presence": False},
"config": {"on": True, "reachable": True},
"uniqueid": "00:00:00:00:00:00:00:00-00",
... | Python | nomic_cornstack_python_v1 |
function get_2d_markers_linearized self component_info=none data=none component_position=none index=none
begin
return call _get_2d_markers data component_info component_position index=index
end function | def get_2d_markers_linearized(
self, component_info=None, data=None, component_position=None, index=None
):
return self._get_2d_markers(
data, component_info, component_position, index=index
) | Python | nomic_cornstack_python_v1 |
function test_config_defaults self
begin
set config = call parser MOCK_CONFIG_ONLY_DEFAULTS
assert true config at string local_ip == string 127.0.0.1
assert true config at string local_port == 0
assert true config at string event_batch_size == 100
assert true config at string workers == 2
end function | def test_config_defaults(self):
config = parser(MOCK_CONFIG_ONLY_DEFAULTS)
self.assertTrue(config['local_ip'] == "127.0.0.1")
self.assertTrue(config['local_port'] == 0)
self.assertTrue(config['event_batch_size'] == 100)
self.assertTrue(config['workers'] == 2) | Python | nomic_cornstack_python_v1 |
import numpy as np
import csv
import matplotlib.pyplot as plt
from matplotlib import cm
import matplotlib.colors as colors
import scipy.stats as stats
from scipy.stats import poisson
comment from scipy.stats import gamma
from scipy.stats import nbinom
from numpy import log as ln
import statsmodels.api as sm
from dateti... | import numpy as np
import csv
import matplotlib.pyplot as plt
from matplotlib import cm
import matplotlib.colors as colors
import scipy.stats as stats
from scipy.stats import poisson
# from scipy.stats import gamma
from scipy.stats import nbinom
from numpy import log as ln
import statsmodels.api as sm
from d... | Python | zaydzuhri_stack_edu_python |
string 编写程序以 x 为基准分割链表，使得所有小于 x 的节点排在大于或等于 x 的节点之前。如果链表中包含 x， x 只需出现在小于 x 的元素之后(如下所示)。分割元素 x 只需处于“右半部分”即可， 其不需要被置于左右两部分之间。 示例: 输入: head = 3->5->8->5->10->2->1, x = 5 输出: 3->1->2->10->5->5->8
class ListNode
begin
function __init__ self x
begin
set val = x
set next = none
end function
end class
set head = call ListNode 1... | """
编写程序以 x 为基准分割链表，使得所有小于 x 的节点排在大于或等于 x 的节点之前。如果链表中包含 x，
x 只需出现在小于 x 的元素之后(如下所示)。分割元素 x 只需处于“右半部分”即可，
其不需要被置于左右两部分之间。
示例:
输入: head = 3->5->8->5->10->2->1, x = 5
输出: 3->1->2->10->5->5->8
"""
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
head = ListNode(1)
head.next = ListNod... | Python | zaydzuhri_stack_edu_python |
set n1 = integer input string Digite um número
set n2 = integer input string Digite outro número
set soma = n1 + n2
print string A soma entre os números é soma | n1 = int(input('Digite um número '))
n2 = int(input('Digite outro número '))
soma = n1 + n2
print('A soma entre os números é', soma)
| Python | zaydzuhri_stack_edu_python |
function __upgrade_image_format self progtrack allow_unprivileged=false
begin
try
begin
comment Ensure Image directory structure is valid.
call mkdirs
end
except PermissionsException as e
begin
if not allow_unprivileged
begin
raise
end
comment An unprivileged user is attempting to use the
comment new client with an old... | def __upgrade_image_format(self, progtrack, allow_unprivileged=False):
try:
# Ensure Image directory structure is valid.
self.mkdirs()
except apx.PermissionsException as e:
if not allow_unprivileged:
... | Python | nomic_cornstack_python_v1 |
string Unit test for main.py
import os
import sys
set main_path = join path string .. string src string app
append path main_path
import main
import unittest
class KnownValues extends TestCase
begin
function testDisplayNameKnownValues self
begin
string displayName should give knows result
set name = string Jean
set exp... | """Unit test for main.py"""
import os
import sys
main_path = os.path.join('..','src','app')
sys.path.append(main_path)
import main
import unittest
class KnownValues(unittest.TestCase):
def testDisplayNameKnownValues(self):
"""displayName should give knows result"""
name = "Jean"
expected_r... | Python | zaydzuhri_stack_edu_python |
function get_authorization_url self redirect_url state scope=none params=none
begin
comment type: (Text, Text, Optional[Iterable[Text]], Optional[Dict[Text, Text]]) -> Text
comment type: Iterable[Text]
set _scope = scope or list
comment type: Dict[Text, Text]
set _params = params or dict
update _params dict string cl... | def get_authorization_url(self, redirect_url, state, scope=None, params=None):
# type: (Text, Text, Optional[Iterable[Text]], Optional[Dict[Text, Text]]) -> Text
_scope = scope or [] # type: Iterable[Text]
_params = params or {} # type: Dict[Text, Text]
_params.update({
'c... | Python | nomic_cornstack_python_v1 |
function create_instance c_instance
begin
return call Launchpad c_instance
end function | def create_instance(c_instance):
return Launchpad(c_instance) | Python | nomic_cornstack_python_v1 |
function string_to_array args
begin
set a = list args
set answer = list
set word = string
for arg in args
begin
if not arg == string
begin
set word = word + arg
end
else
begin
append answer word
set word = string
end
end
append answer word
return answer
end function
comment https://www.codewars.com/kata/57e76bc428d... | def string_to_array(args):
a = list(args)
answer = []
word = ''
for arg in args:
if not arg == ' ':
word += arg
else:
answer.append(word)
word = ''
answer.append(word)
return answer
# https://www.codewars.com/kata/57e76bc428d6fbc2d500036d
| Python | zaydzuhri_stack_edu_python |
import pandas as pd
import os
from quant.param.param import Parameter
from WindPy import w
start w
class StockFactorFileDfc extends object
begin
string 读取自己的股票因子数据 get_barra_risk_factor_dfc()
function __init__ self
begin
pass
end function
function get_alpha_factor_dfc_file self factor_name
begin
set param_path = call g... | import pandas as pd
import os
from quant.param.param import Parameter
from WindPy import w
w.start()
class StockFactorFileDfc(object):
"""
读取自己的股票因子数据
get_barra_risk_factor_dfc()
"""
def __init__(self):
pass
def get_alpha_factor_dfc_file(self, factor_name):
param_path... | Python | zaydzuhri_stack_edu_python |
function calcularTotal self
begin
set subtotales = list
for row in range 0 call rowCount
begin
append subtotales decimal call text
end
return sum subtotales
end function | def calcularTotal(self):
subtotales=[]
for row in range(0,self.tableNC.rowCount()):
subtotales.append(float(self.tableNC.item(row,2).text()))
return sum(subtotales) | Python | nomic_cornstack_python_v1 |
function permute input *axis
begin
set ndim = call rank input
set perm = call check_transpose_axis axis ndim
return permute F input perm
end function | def permute(input, *axis):
ndim = F.rank(input)
perm = validator.check_transpose_axis(axis, ndim)
return F.permute(input, perm) | Python | nomic_cornstack_python_v1 |
function handle_rich_comp_not_implemented
begin
if is_py2
begin
raise call TypeError
end
else
begin
return NotImplemented
end
end function | def handle_rich_comp_not_implemented():
if is_py2:
raise TypeError()
else:
return NotImplemented | Python | nomic_cornstack_python_v1 |
comment Compute the depth of a list of lists
set depth = lambda list_ -> is instance list_ list and max map depth list_ + 1
comment Flatten a list of lists
function flatten list_
begin
set flattened = list_
while is instance flattened at 0 list
begin
set flattened = list comprehension item for sublist in flattened for ... | # Compute the depth of a list of lists
depth = lambda list_: isinstance(list_, list) and max(map(depth, list_)) + 1
# Flatten a list of lists
def flatten(list_):
flattened = list_
while isinstance(flattened[0], list):
flattened = [item for sublist in flattened for item in sublist]
return flattened
... | Python | zaydzuhri_stack_edu_python |
function do_debug self arg
begin
call interact none none __dict__
end function | def do_debug(self, arg):
code.interact(None, None, self.__dict__) | Python | nomic_cornstack_python_v1 |
from KnowledgeBase import KnowledgeBase
function main
begin
string Driver Method
set kb = call KnowledgeBase
print string ======================================
print string Looking for { the_character at string Name } .
print string { the_character at string Name } looks like this: { the_character }
print string The p... | from KnowledgeBase import KnowledgeBase
def main():
"""
Driver Method
"""
kb = KnowledgeBase()
print("======================================")
print(f"Looking for {kb.the_character['Name']}.")
print(f"{kb.the_character['Name']} looks like this: {kb.the_character}")
print("The popu... | Python | zaydzuhri_stack_edu_python |
comment number of test cases
set tst = integer input
comment iterating over test cases
for i in range tst
begin
comment size of the array
set size = integer input
comment heights of the columns
set arr = list map int split input
comment p iterates over the array, direction is a boolean specifying whether we are going u... | #number of test cases
tst = int(input())
#iterating over test cases
for i in range(tst):
#size of the array
size = int(input())
#heights of the columns
arr = list(map(int, input().split()))
#p iterates over the array, direction is a boolean specifying whether we are going up (true) or down (false)
... | Python | zaydzuhri_stack_edu_python |
function _dict_to_ints strdict
begin
return dictionary comprehension _k : call _to_int _attr for tuple _k _attr in items strdict
end function | def _dict_to_ints(strdict):
return {_k: _to_int(_attr) for _k, _attr in strdict.items()} | Python | nomic_cornstack_python_v1 |
function test_us_25_hs4 self
begin
set gedcom_data = call parse_gedcom_file string ./sampledata/us25testdata.ged
for family in gedcom_data at 0
begin
set children_ids = children
for id in children_ids
begin
if id in gedcom_data at 1
begin
get gedcom_data at 1 id
if id == string hs4
begin
assert false call validate_chil... | def test_us_25_hs4(self):
gedcom_data = parse_gedcom_file("./sampledata/us25testdata.ged")
for family in gedcom_data[0]:
children_ids = gedcom_data[0].get(family).children
for id in children_ids:
if id in gedcom_data[1]:
gedcom_data[1].get(id)
... | Python | nomic_cornstack_python_v1 |
function _replace self **kwargs
begin
for k in kwargs
begin
if is instance kwargs at k Marginalisation
begin
set kwargs at k = integer kwargs at k
end
end
return call _replace keyword kwargs
end function | def _replace(self, **kwargs):
for k in kwargs:
if isinstance(kwargs[k], Marginalisation):
kwargs[k] = int(kwargs[k])
return super(Kernel, self)._replace(**kwargs) | Python | nomic_cornstack_python_v1 |
function findMedianSortedArrays self nums1 nums2
begin
set a = list
for i in range length nums1
begin
append a nums1 at i
end
for j in range length nums2
begin
append a nums2 at j
end
sort a
set mid = length a // 2
set res = a at mid + a at ? mid / 2
return res
end function | def findMedianSortedArrays(self, nums1: List[int], nums2: List[int]) -> float:
a = []
for i in range(len(nums1)):
a.append(nums1[i])
for j in range(len(nums2)):
a.append(nums2[j])
a.sort()
mid = len(a) // 2
res = (a[mid]+ a[~mid])/ 2
return res | Python | zaydzuhri_stack_edu_python |
set my_list = list 1 2 3 4 5
for num in my_list
begin
set square = num ^ 2
print square
end | my_list = [1, 2, 3, 4, 5]
for num in my_list:
square = num ** 2
print(square)
| Python | jtatman_500k |
function update self
begin
return call _process string update
end function | def update(self):
return self._process('update') | Python | nomic_cornstack_python_v1 |
from flask import Flask
from flask_graphql import GraphQLView
from graphene_utils.utils import createGrapheneClass
import graphene
set app = call Flask __name__
set NestedObject = call createGrapheneClass string NestedObject list tuple string name str tuple string age int tuple string body string json
class DataObject ... | from flask import Flask
from flask_graphql import GraphQLView
from graphene_utils.utils import createGrapheneClass
import graphene
app = Flask(__name__)
NestedObject = createGrapheneClass(
"NestedObject", [("name", str), ("age", int), ("body", "json")])
class DataObject(object):
def __init__(self, **kwargs... | Python | zaydzuhri_stack_edu_python |
while true
begin
set current_password = input
if password == current_password
begin
print string Welcome { user_name } !
break
end
end | while True:
current_password = input()
if password == current_password:
print(f'Welcome {user_name}!')
break
| Python | zaydzuhri_stack_edu_python |
class Germany
begin
function __init__ self
begin
set members = list string Bonn, Koeln, Muenchen, Duesseldorf, Essen
end function
end class | class Germany:
def __init__(self):
self.members = ["Bonn, Koeln, Muenchen, Duesseldorf, Essen"]
| Python | zaydzuhri_stack_edu_python |
function deepcopy self sliced=true
begin
if is instance self Alignment
begin
set reversed = reverse
end
else
begin
set reversed = reverse
end
set new_seqs = dictionary
set db = if expression reversed and sliced then none else deep copy annotation_db
for seq in seqs
begin
try
begin
set new_seq = deep copy sliced=sliced ... | def deepcopy(self, sliced: bool = True):
if isinstance(self, Alignment):
reversed = self.seqs[0].map.reverse
else:
reversed = self.seqs[0]._seq.reverse
new_seqs = dict()
db = None if reversed and sliced else deepcopy(self.annotation_db)
for seq in self.seq... | Python | nomic_cornstack_python_v1 |
function get_content_loss X_content X_pre
begin
set content_features = dict
set content_net = call net X_pre
set content_features at CONTENT_LAYER = content_net at CONTENT_LAYER
set preds = call net X_content / 255.0
set preds_pre = call preprocess preds
set net = call net preds_pre
set content_size = call _tensor_siz... | def get_content_loss(X_content, X_pre):
content_features = {}
content_net = vgg.net(X_pre)
content_features[CONTENT_LAYER] = content_net[CONTENT_LAYER]
preds = transform.net(X_content/255.0)
preds_pre = vgg.preprocess(preds)
net = vgg.net(preds_pre)
content_size = _tensor_size(content_fe... | Python | nomic_cornstack_python_v1 |
class Animal
begin
function __init__ self name
begin
set name = name
end function
function eat self
begin
raise call NotImplementedError string Subclass must implement this method
end function
function __str__ self
begin
return string I am an animal called { name }
end function
end class | class Animal:
def __init__(self, name):
self.name = name
def eat(self):
raise NotImplementedError("Subclass must implement this method")
def __str__(self):
return f'I am an animal called {self.name}'
| Python | zaydzuhri_stack_edu_python |
from core.internally_named import Internally_Named
from core.owning import Owner
from hand import Hand
from realm import Realm
from piece_tray import Piece_Tray
class Player extends Internally_Named Owner
begin
function __init__ self name color
begin
call __init__ self name
call __init__ self
set _color = color
set _ha... | from core.internally_named import Internally_Named
from core.owning import Owner
from .hand import Hand
from .realm import Realm
from .piece_tray import Piece_Tray
class Player(Internally_Named, Owner):
def __init__(self, name, color):
Internally_Named.__init__(self, name)
Owner.__init__(self)
... | Python | zaydzuhri_stack_edu_python |
comment coding: utf-8
string Python script to automatically grade based on pull requests.
import csv
import grader
import sys
from pull_request import PullRequest
from student import Student
set REPO = string startup-systems/static
set SURVEY_DATA_PATH = argv at 1
set OUTPUT_PATH = argv at 2
if __name__ == string __mai... | # coding: utf-8
"""Python script to automatically grade based on pull requests."""
import csv
import grader
import sys
from pull_request import PullRequest
from student import Student
REPO = "startup-systems/static"
SURVEY_DATA_PATH = sys.argv[1]
OUTPUT_PATH = sys.argv[2]
if __name__ == '__main__':
pull_reque... | Python | zaydzuhri_stack_edu_python |
function node_click self id
begin
if id in states
begin
remove states id
end
else
begin
append states id
end
end function | def node_click(self, id):
if id in self.states:
self.states.remove(id)
else:
self.states.append(id) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
comment Enchère
class Bid
begin
function __init__ self
begin
comment Couleur de l'enchère
set color = none
comment Valeur de l'enchère
set value = none
end function
end class | # -*- coding: utf-8 -*-
# Enchère
class Bid():
def __init__(self):
self.color = None # Couleur de l'enchère
self.value = None # Valeur de l'enchère
| Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
import random
import time
while true
begin
sleep 0.5
set a = call randrange 1 7
set b = call randrange 1 7
end | #!/usr/bin/python
import random
import time
while True:
time.sleep(0.5)
a = random.randrange(1,7)
b = random.randrange(1,7) | Python | zaydzuhri_stack_edu_python |
comment WORKS
function is_valid_username self username
begin
set done1 = execute cur format string SELECT username FROM users WHERE username="{}" username
set done2 = execute cur format string SELECT username FROM admins WHERE username="{}" username
comment If both queries are unsuccessful, username doesn't exist in bo... | def is_valid_username(self, username): # WORKS
done1 = self.cur.execute("SELECT username FROM users WHERE username=\"{}\"".format(username))
done2 = self.cur.execute("SELECT username FROM admins WHERE username=\"{}\"".format(username))
if done1 == 0 and done2 == 0: # If both queries are unsucces... | Python | nomic_cornstack_python_v1 |
import matplotlib.pyplot as plt
import ast
set f = open string centerError string r
set i = 0
set j = 0
set t1 = list
set centerError = list
while i != string
begin
set i = read line f - 1
end | import matplotlib.pyplot as plt
import ast
f = open('centerError','r')
i = 0
j = 0
t1 = []
centerError = []
while i != '':
i = f.readline(-1) | Python | zaydzuhri_stack_edu_python |
print is alphanumeric string Ram123
print is alpha string Ram123
print is alpha string ram
print is digit string ram
print is digit string 123
print is lower string ram
print is lower string Ram
print is lower string ram123
print is upper string RAM
print call istitle
print call istitle
print is space string | print('Ram123'.isalnum())
print('Ram123'.isalpha())
print('ram'.isalpha())
print('ram'.isdigit())
print('123'.isdigit())
print('ram'.islower())
print('Ram'.islower())
print('ram123'.islower())
print('RAM'.isupper())
print('Ram Sita Laxman'.istitle())
print('Ram sita Laxman'.istitle())
print(' '.isspace())
| Python | zaydzuhri_stack_edu_python |
function emp_reject self
begin
for emp in self
begin
set state = string rejected
end
end function | def emp_reject(self):
for emp in self:
emp.state = 'rejected' | Python | nomic_cornstack_python_v1 |
string Controller code module
import json
from flask import Request
from flask_restful import Resource , marshal_with
from injector import inject
from model import USER_FIELDS
from service import UserService
set DEFAULT_PAGE_SIZE = 20
class UserList extends Resource
begin
string User Resource: The API for multiple user... | """Controller code module"""
import json
from flask import Request
from flask_restful import Resource, marshal_with
from injector import inject
from model import USER_FIELDS
from service import UserService
DEFAULT_PAGE_SIZE = 20
class UserList(Resource):
"""User Resource: The API for multiple user requests"""
... | Python | zaydzuhri_stack_edu_python |
from generator import Commander , GeneratorStateMaster
function make_generator_entry caption state
begin
string Convenience function used to return one option 'row' using the caption and state append action (the common operation) :param caption: string to be used as an action's caption :param state: state to be appende... | from generator import Commander, GeneratorStateMaster
def make_generator_entry(caption, state):
"""
Convenience function used to return one option 'row' using the caption and state append action
(the common operation)
:param caption: string to be used as an action's caption
:param state: state to... | Python | zaydzuhri_stack_edu_python |
comment coding: UTF-8
string Created on 2014-04-21 @author: mingliu
import time
if __name__ == string __main__
begin
set t1 = time
end | #coding: UTF-8
'''
Created on 2014-04-21
@author: mingliu
'''
import time
if __name__ == '__main__':
t1 = time.time() | Python | zaydzuhri_stack_edu_python |
function __init__ __self__ name=none product=none promotion_code=none publisher=none version=none
begin
if name is not none
begin
set __self__ string name name
end
if product is not none
begin
set __self__ string product product
end
if promotion_code is not none
begin
set __self__ string promotion_code promotion_code
e... | def __init__(__self__, *,
name: Optional[pulumi.Input[str]] = None,
product: Optional[pulumi.Input[str]] = None,
promotion_code: Optional[pulumi.Input[str]] = None,
publisher: Optional[pulumi.Input[str]] = None,
version: Optional[pulum... | Python | nomic_cornstack_python_v1 |
from django.core.management.base import BaseCommand , CommandError
import csv
from movie.models import Movies
from datetime import datetime
class Command extends BaseCommand
begin
function handle self *args **options
begin
with open string data/netflix_titles.csv string r as csv_file
begin
set reader = reader csv_file
... | from django.core.management.base import BaseCommand, CommandError
import csv
from movie.models import Movies
from datetime import datetime
class Command(BaseCommand):
def handle(self, *args, **options):
with open('data/netflix_titles.csv', 'r') as csv_file:
reader = csv.reader(csv_file)
... | Python | zaydzuhri_stack_edu_python |
comment neeraj varshney (2014A7PS0103P)
from final_program import *
import time
import copy
set a = integer input string Option 1: Display the room environment Option 2: Find the path (action sequence) and path cost using T1 Option 3: Find the path (action sequence) and path cost using T2 Option 4: Show all results and... | #neeraj varshney (2014A7PS0103P)
from final_program import *
import time
import copy
a=(int)(input("\nOption 1: Display the room environment\nOption 2: Find the path (action sequence) and path cost using T1\nOption 3: Find the path (action sequence) and path cost using T2\nOption 4: Show all results and graphs in the G... | Python | zaydzuhri_stack_edu_python |
function set_canvas plot_residual
begin
if plot_residual
begin
set canvas = call CanvasImage string residual
set data = call clip data 1.0 max
set data = - 2.5 * call log10 data / 480.0 / ps ^ 2 + 27.2
set tuple yc xc r = tuple 775 1251 90
for x in array range xc - r xc + r
begin
for y in array range yc - r yc + r
begi... | def set_canvas(plot_residual):
if plot_residual:
canvas = cv.CanvasImage("residual")
canvas.data = np.clip(canvas.data, 1., canvas.data.max())
canvas.data = -2.5 * np.log10(
canvas.data / 480. / canvas.ps ** 2) + 27.2
yc, xc, r = 775, 1251, 90
for x in np.a... | Python | nomic_cornstack_python_v1 |
function once_only self
begin
return __once_only
end function | def once_only(self) -> bool:
return self.__once_only | Python | nomic_cornstack_python_v1 |
from queue import *
class Country
begin
function __init__ self name age
begin
set name = name
set age = age
end function
function __str__ self
begin
return string The %s country is %s years old. % tuple name age
end function
end class | from queue import *
class Country:
def __init__(self, name, age):
self.name = name
self.age = age
def __str__(self):
return "The %s country is %s years old." % (self.name, self.age)
| Python | zaydzuhri_stack_edu_python |
function compare_averages_shell_pspec_dft
begin
comment degrees
set select_radius = 5.0
set Nside = 256
set Npix = 12 * Nside ^ 2
set Omega = 4 * pi / decimal Npix
set Nfreq = 100
set freqs = linear space 167.0 177.0 Nfreq
set dnu = diff np freqs at 0
set Z = 1420 / freqs - 1.0
set sig = 2.0
set mu = 0.0
set shell = ca... | def compare_averages_shell_pspec_dft():
select_radius = 5. #degrees
Nside=256
Npix = 12 * Nside**2
Omega = 4*np.pi/float(Npix)
Nfreq = 100
freqs = np.linspace(167.0, 177.0, Nfreq)
dnu = np.diff(freqs)[0]
Z = 1420/freqs - 1.
sig = 2.0
mu = 0.0
shell = np.random.normal(mu, ... | Python | nomic_cornstack_python_v1 |
function show_condor_jobs self condor_jobs long legend
begin
set long_val = integer long
set column_descr = dict string id list string string : Condor cluster ID ; string site list string string : Job site ; string stat string Condor job status ; string in_state string Time job spent in current Condor status ; string... | def show_condor_jobs(self, condor_jobs: list, long: bool, legend: bool):
long_val = int(long)
column_descr = {
"id": ["", ": Condor cluster ID "],
"site": ["", ": Job site\n"],
"stat": "Condor job status",
"in_state": "Time job spent in current Condor sta... | Python | nomic_cornstack_python_v1 |
comment encoding: utf-8
comment https://qiita.com/makaishi2/items/63b7986f6da93dc55edd
comment book: 三四郎
comment wget http://www.aozora.gr.jp/cards/000148/files/794_ruby_4237.zip
comment Janomeのロード
from janome.tokenizer import Tokenizer
import codecs
comment ファイル読込み、内部表現化
set f = open string sanshiro.txt string r strin... | # encoding: utf-8
#
# https://qiita.com/makaishi2/items/63b7986f6da93dc55edd
#
# book: 三四郎
# wget http://www.aozora.gr.jp/cards/000148/files/794_ruby_4237.zip
#
# Janomeのロード
from janome.tokenizer import Tokenizer
#
import codecs
# ファイル読込み、内部表現化
f = codecs.open('sanshiro.txt', "r", "sjis")
text = f.read()
f.close()
#qu... | Python | zaydzuhri_stack_edu_python |
function is_host_local host
begin
set addresses = list call all_addrs host
set local_count = length list comprehension a for a in addresses if call is_addr_local a
if local_count == 0
begin
return NONE_LOCAL
end
else
if local_count == length addresses
begin
return ALL_LOCAL
end
else
begin
return SOME_LOCAL
end
end func... | def is_host_local(host):
addresses = list(all_addrs(host))
local_count = len([a for a in addresses if is_addr_local(a)])
if local_count == 0:
return NONE_LOCAL
elif local_count == len(addresses):
return ALL_LOCAL
else:
return SOME_LOCAL | Python | nomic_cornstack_python_v1 |
from diceSet import DiceSet
import itertools
class Search
begin
function __init__ self
begin
pass
end function
function choices self diceSet
begin
return list product list true false repeat=nbDices
end function
end class | from diceSet import DiceSet
import itertools
class Search:
def __init__(self) -> None:
pass
def choices(self, diceSet: DiceSet):
return list(itertools.product([True, False], repeat=diceSet.nbDices))
| Python | zaydzuhri_stack_edu_python |
function secondSmoothnessLoss tensorFlow
begin
set tuple delta_u delta_v = call _secondOrderDeltas tensorFlow
return call charbonnierLoss delta_u + call charbonnierLoss delta_v
end function | def secondSmoothnessLoss(tensorFlow):
delta_u, delta_v = _secondOrderDeltas(tensorFlow)
return charbonnierLoss(delta_u) + charbonnierLoss(delta_v) | Python | nomic_cornstack_python_v1 |
import sys
set stdin = open string 2806.txt
set d = list tuple 1 1 tuple 1 - 1 tuple - 1 1 tuple - 1 - 1
function check r c
begin
if row at r == 1
begin
return 0
end
if col at c == 1
begin
return 0
end
for tuple dr dc in d
begin
for i in range N
begin
set tuple nr nc = tuple r + dr * i c + dc * i
if 0 <= nr < N and 0 <... | import sys
sys.stdin = open('2806.txt')
d = [(1, 1), (1, -1), (-1, 1), (-1, -1)]
def check(r, c):
if row[r] == 1:
return 0
if col[c] == 1:
return 0
for dr, dc in d:
for i in range(N):
nr, nc = r + dr * i, c + dc * i
if 0 <= nr < N and 0 <= nc < N and v... | Python | zaydzuhri_stack_edu_python |
comment module for reusable decorators
from flask import abort , request , current_app as app
from functools import wraps
function authenticate_token func
begin
decorator wraps func
function wrapper *args **kwargs
begin
set token = none
set token = get headers string Api-Key
if token is none
begin
call abort 400 string... | # module for reusable decorators
from flask import abort, request, current_app as app
from functools import wraps
def authenticate_token(func):
@wraps(func)
def wrapper(*args, **kwargs):
token = None
token = request.headers.get('Api-Key')
if token is None:
abort(400, 'expect... | Python | zaydzuhri_stack_edu_python |
comment Lista encargada de la informacion de los nodos conocidos
from lista_nodos_nodo import nodo
from modelo_lista_nodos import modelo_lista_nodos
from PyQt4 import QtCore
class lista_nodos
begin
function __init__ self l=list padre=call QObject
begin
set lista = l
set modelo = call modelo_lista_nodos padre lista
end... | #Lista encargada de la informacion de los nodos conocidos
from lista_nodos_nodo import nodo
from modelo_lista_nodos import modelo_lista_nodos
from PyQt4 import QtCore
class lista_nodos:
def __init__(self, l = [], padre = QtCore.QObject()):
self.lista = l
self.modelo = modelo_lista_nodos(padre, self.lista)
def... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
import time
import os
set doorstatus = 0
from RPi import GPIO
call setmode BOARD
setup GPIO 18 IN pull_up_down=PUD_DOWN
while true
begin
set inputval1 = input 18
end | #!/usr/bin/python
import time
import os
doorstatus = 0
from RPi import GPIO
GPIO.setmode(GPIO.BOARD)
GPIO.setup(18, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
while True:
inputval1 = GPIO.input(18)
| Python | zaydzuhri_stack_edu_python |
comment This example implements a 5 invader SDMI game with a Brute force Capture order
import sdmiFuncLib as sfl
import numpy as np
import matplotlib.pyplot as plt
comment Invader Locations
comment I0 => [-12.25709932 4.44973388]
comment I1 => [ -6.6489077 21.23919568]
comment I2 => [ 0.41996017 24.16072049]
comment I3... | #This example implements a 5 invader SDMI game with a Brute force Capture order
import sdmiFuncLib as sfl
import numpy as np
import matplotlib.pyplot as plt
#Invader Locations
#I0 => [-12.25709932 4.44973388]
#I1 => [ -6.6489077 21.23919568]
#I2 => [ 0.41996017 24.16072049]
#I3 => [ 8.51769598 11.... | Python | zaydzuhri_stack_edu_python |
import os
import pandas as pd
import matplotlib.pyplot as plt
if not ends with get current directory string etl
begin
change directory string ./data_science/lessons/etl
end
set df = read csv string data/gdp_data.csv skiprows=4
drop df string Unnamed: 62 axis=1 inplace=true
set count_null_vals = sum
comment put the data... | import os
import pandas as pd
import matplotlib.pyplot as plt
if not os.getcwd().endswith("etl"):
os.chdir("./data_science/lessons/etl")
df = pd.read_csv('data/gdp_data.csv', skiprows=4)
df.drop('Unnamed: 62', axis=1, inplace=True)
count_null_vals = df.isnull().sum()
# put the data set into long form instead of... | Python | zaydzuhri_stack_edu_python |
function testFileHashLargeMulti self
begin
set b = call urandom MAX_READ_SZ * 3 + 112
call hashFileHelper b list string md5 string sha1
end function | def testFileHashLargeMulti(self):
b = os.urandom(MAX_READ_SZ*3 + 112)
self.hashFileHelper(b, ['md5', 'sha1']) | Python | nomic_cornstack_python_v1 |
function save_plot_as_png self
begin
set file_save_path = call getSaveFileName self string Save Plot PNG string string PNG (*.png)|*.png
if file_save_path at 0
begin
save figure file_save_path at 0 bbox_inches=string tight
call about self string Success! string Your plot has been saved as png image successfully.
end
e... | def save_plot_as_png(self):
file_save_path = QFileDialog.getSaveFileName(self, 'Save Plot PNG', "", "PNG (*.png)|*.png")
if file_save_path[0]:
self.figure.savefig(file_save_path[0], bbox_inches='tight')
QMessageBox.about(self, "Success!", "Your plot has been saved as png image s... | Python | nomic_cornstack_python_v1 |
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
set df = read csv string train.csv
comment print(df.dtypes) #function giving the datatypes of all columns
set features = list string People string Population string Width(m) string Length(m) string Months
set X = df at features
set Y = df at stri... | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.read_csv("train.csv")
#print(df.dtypes) #function giving the datatypes of all columns
features = ['People','Population','Width(m)','Length(m)','Months']
X = df[features]
Y = df['Survival ']
people_replace_dict = {
"People" :
{"S... | Python | zaydzuhri_stack_edu_python |
comment 闭包可以理解为一个将一系列相关的环境变量与一个函数一同打包返回
comment 然后后面再使用函数的时候所附带的环境变量则跟随着函数起作用
function addbase n
begin
function add x
begin
return x + n
end function
return add
end function
comment 手动设定闭包中的环境变量为10
set add = call addbase 10
comment 输出结果为"10+12"=22
print add 12
comment 删除addbase的定义
del addbase
comment 再次执行,返回110
print a... | #闭包可以理解为一个将一系列相关的环境变量与一个函数一同打包返回
#然后后面再使用函数的时候所附带的环境变量则跟随着函数起作用
def addbase(n):
def add(x):
return x + n
return add
add = addbase(10)#手动设定闭包中的环境变量为10
print(add(12))#输出结果为"10+12"=22
del addbase#删除addbase的定义
print(add(100))#再次执行,返回110
| Python | zaydzuhri_stack_edu_python |
function get_ellipses im_markers start_coord margin=5
begin
set im_thresh = im_markers at tuple slice margin : - margin : slice margin : - margin :
set im_thresh = call GaussianBlur im_thresh tuple 7 7 3
set im_thresh = as type im_thresh < 175 uint8
comment kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (5, 5))
... | def get_ellipses(im_markers, start_coord, margin=5):
im_thresh = im_markers[margin:-margin, margin:-margin]
im_thresh = cv.GaussianBlur(im_thresh, (7, 7), 3)
im_thresh = (im_thresh < 175).astype(np.uint8)
# kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (5, 5))
# im_roi = cv.morphologyEx(im_thr... | Python | nomic_cornstack_python_v1 |
function moveZeroes self nums
begin
set length = length nums
set i = 0
for j in range 0 length
begin
if nums at j != 0
begin
set nums at i = nums at j
set i = i + 1
end
end
for x in range i length
begin
set nums at x = 0
end
return nums
end function | def moveZeroes(self, nums: List[int]) -> None:
length = len(nums)
i = 0
for j in range(0, length):
if nums[j] != 0:
nums[i] = nums[j]
i += 1
for x in range(i, length):
nums[x] = 0
return nums | Python | nomic_cornstack_python_v1 |
import graphene
import json
class Query extends ObjectType
begin
set isStaff = call Boolean
function resolve_isStaff self info
begin
return true
end function
end class
function main
begin
set schema = call Schema query=Query
set result = execute schema string { isStaff }
end function | import graphene
import json
class Query(graphene.ObjectType):
isStaff = graphene.Boolean()
def resolve_isStaff(self, info):
return True
def main():
schema = graphene.Schema(query=Query)
result = schema.execute(
'''
{
isStaff
}
'''
)... | Python | zaydzuhri_stack_edu_python |
function _UpdateSudoer self user sudoer=false
begin
string Update sudoer group membership for a Linux user account. Args: user: string, the name of the Linux user account. sudoer: bool, True if the user should be a sudoer. Returns: bool, True if user update succeeded.
if sudoer
begin
info string Adding user %s to the G... | def _UpdateSudoer(self, user, sudoer=False):
"""Update sudoer group membership for a Linux user account.
Args:
user: string, the name of the Linux user account.
sudoer: bool, True if the user should be a sudoer.
Returns:
bool, True if user update succeeded.
"""
if sudoer:
s... | Python | jtatman_500k |
comment Do strony z listą pracowników dodaj formularz, umożliwiający dodanie nowego pracownika. Powinien zawierać osobne pole
comment tekstowe dla każdej informacji o pracowniku. Przesłanie formularza powinno spowodować dodanie pracownika i wyświetlenie
comment zaktualizowanej listy.
from flask import Flask , render_te... | # Do strony z listą pracowników dodaj formularz, umożliwiający dodanie nowego pracownika. Powinien zawierać osobne pole
# tekstowe dla każdej informacji o pracowniku. Przesłanie formularza powinno spowodować dodanie pracownika i wyświetlenie
# zaktualizowanej listy.
from flask import Flask, render_template, request, ... | Python | zaydzuhri_stack_edu_python |
while i < length s - 2
begin
if s at i == string ,
begin
set i = i + 1
end
set s = s at slice : i + 1 : + string , + s at slice i + 1 : :
set i = i + 1
end
set ls = split s string ,
for i in range 0 length ls - 1
begin
set j = i + 1
while j < length ls
begin
if ordinal ls at i > ordinal ls at j
begin
set temp = ls ... | while i<len(s)-2:
if s[i]==",":
i=i+1
s=s[:i+1]+","+s[i+1:]
i=i+1
ls=s.split(",")
for i in range(0,len(ls)-1):
j=i+1
while j<len(ls):
if ord(ls[i])>ord(ls[j]):
temp=ls[j]
ls[j]=ls[i]
ls[i]=temp
j=j+1
print(''.join(ls))
... | Python | zaydzuhri_stack_edu_python |
function partition l r a
begin
string This function creates a partition taking the element at the index position r given in the function as partition(l,'r',{array}) as the pivot element, from the 'l' index to the r index, returning the correct position of the pivot in the sorted array.
set mark = l
for i in range l r
b... | def partition(l,r,a):
"""This function creates a partition taking the element at the index position r given in the function as partition(l,'r',{array}) as the pivot element, from the 'l' index to the r index, returning the correct position of the pivot in the sorted array."""
mark=l
for i in range(l,r):
if a[i]<a[... | Python | zaydzuhri_stack_edu_python |
import sklearn.datasets as DT
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error , r2_score
import numpy as np
import scipy.linalg as la
import matplotlib.pyplot as plt
from sklearn.preprocessing import PolynomialFeatures... | import sklearn.datasets as DT
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error,r2_score
import numpy as np
import scipy.linalg as la
import matplotlib.pyplot as plt
from sklearn.preprocessing import PolynomialFeatures
f... | Python | zaydzuhri_stack_edu_python |
class RandomListNode
begin
function __init__ self value
begin
set label = value
set next = none
set random = none
end function
end class
class Solution
begin
function Clone self pHead
begin
if not pHead
begin
return none
end
set pHead = call cloneList pHead
set pHead = call copyRandomP pHead
set pCloneHead = call split... | class RandomListNode:
def __init__(self, value):
self.label = value
self.next = None
self.random = None
class Solution:
def Clone(self, pHead):
if not pHead:
return None
pHead = self.cloneList(pHead)
pHead = self.copyRandomP(pHead)
pCloneHead... | Python | zaydzuhri_stack_edu_python |
comment 원화를 입력, 환율 입력 -> 달러값
set won = input string 원화금액을 입력 하세요>>>
set dollar = input string 환율을 입력 하세요>>>
comment 예외가 발생 할 수 있는 코드
try
begin
print integer won / integer dollar
end
comment 예외가 발행했을 때 실행되는 코드
except ValueError as e
begin
print string 문자열 예외가 발생했습니다. e
end
except ZeroDivisionError as e
begin
print strin... | # 원화를 입력, 환율 입력 -> 달러값
won = input("원화금액을 입력 하세요>>>")
dollar = input("환율을 입력 하세요>>>")
try: # 예외가 발생 할 수 있는 코드
print(int(won) / int(dollar))
except ValueError as e: # 예외가 발행했을 때 실행되는 코드
print("문자열 예외가 발생했습니다.", e)
except ZeroDivisionError as e:
print("나누기 0은 불가능 합니다.", e)
else:
print("예외가 발생하지 않았을 때 실헹되는 코드"... | Python | zaydzuhri_stack_edu_python |
function err self
begin
return call getvalue
end function | def err(self):
return self._err.getvalue() | Python | nomic_cornstack_python_v1 |
function get_rule_from_response self response
begin
set _matches = lambda r -> call matches_response response
for rule in call ifilter _matches _rules
begin
comment return first match of iterator
return rule
end
end function | def get_rule_from_response(self, response):
_matches = lambda r: r.matcher.matches_response(response)
for rule in ifilter(_matches, self._rules):
# return first match of iterator
return rule | Python | nomic_cornstack_python_v1 |
comment ! /usr/bin/env python
comment Author: Yunlong Feng <ylfeng@ir.hit.edu.cn>
import numpy as np
function cycle iterable
begin
while true
begin
yield from iterable
end
end function
class MultiTaskDataloader
begin
function __init__ self tau=1.0 **dataloaders
begin
set dataloaders = dataloaders
set Z = sum generator ... | #! /usr/bin/env python
# Author: Yunlong Feng <ylfeng@ir.hit.edu.cn>
import numpy as np
def cycle(iterable):
while True:
yield from iterable
class MultiTaskDataloader:
def __init__(self, tau=1.0, **dataloaders):
self.dataloaders = dataloaders
Z = sum(pow(v, tau) for v in self.datal... | Python | zaydzuhri_stack_edu_python |
function test_pick_latest_file self
begin
set max = FILES_LIST at 0
for f in FILES_LIST
begin
if call getctime join path FILES_DIR f > call getctime join path FILES_DIR max
begin
set max = f
end
end
set max = FILES_DIR + max
set latest = call pick_latest_file
assert equal max latest
end function | def test_pick_latest_file(self):
max = FILES_LIST[0]
for f in FILES_LIST:
if os.path.getctime(os.path.join(FILES_DIR, f)) > os.path.getctime(os.path.join(FILES_DIR, max)):
max = f
max = FILES_DIR + max
latest = pick_latest_file()
self... | Python | nomic_cornstack_python_v1 |
function get_state_no self var state_name
begin
if state_names
begin
return name_to_no at var at state_name
end
else
begin
return state_name
end
end function | def get_state_no(self, var, state_name):
if self.state_names:
return self.name_to_no[var][state_name]
else:
return state_name | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
set __author__ = string p.olifer
set __version__ = string 1.0
function make_averager
begin
set count = 0
set total = 0
function averager new_value
begin
nonlocal count total
set count = count + 1
set total = total + new_value
return total / count
end function
return averager
end function
i... | # -*- coding: utf-8 -*-
__author__ = 'p.olifer'
__version__ = '1.0'
def make_averager():
count = 0
total = 0
def averager(new_value):
nonlocal count, total
count += 1
total += new_value
return total/count
return averager
if __name__ == '__main__':
avg = make_av... | Python | zaydzuhri_stack_edu_python |
function printMove fr to
begin
string +just printing the move +carry on XO Pressly
print string move from + string fr + string to + string to
end function
function Towers n fr to spare
begin
string The base case is the move case, recursive +becoming things, to move is to become
comment base case, when tower is of size ... | def printMove(fr,to):
'''
+just printing the move
+carry on XO Pressly
'''
print('move from '+str(fr)+' to '+str(to))
def Towers(n,fr,to,spare):
'''
The base case is the move case, recursive
+becoming things, to move is to become
'''
if n==1: #base case, when tow... | Python | zaydzuhri_stack_edu_python |
function all_alpha_or_dash s
begin
return all generator expression is alpha c or c == string - for c in s
end function | def all_alpha_or_dash(s):
return all(c.isalpha() or c == '-' for c in s) | Python | nomic_cornstack_python_v1 |
for i in shoes
begin
if i not in have
begin
append have i
end
end
print 4 - length have | for i in shoes:
if i not in have:
have.append(i)
print(4 - len(have)) | Python | zaydzuhri_stack_edu_python |
function balls_bowled player against_batsman batting_types innings_number tournaments=none venue=none years=none overs_range=none
begin
comment Grabbing all balls bowled by this player
set required_balls = df_ball at df_ball at string bowler == player
comment Grabbing all matches to map ids
set required_matches = df_ma... | def balls_bowled(player, against_batsman, batting_types, innings_number, tournaments=None, venue=None, years=None, overs_range=None):
# Grabbing all balls bowled by this player
required_balls = df_ball[df_ball["bowler"] == player]
# Grabbing all matches to map ids
required_matches = df_match
... | Python | nomic_cornstack_python_v1 |
comment coding=UTF-8
comment anti_euler_v2の改良版
comment 重い処理は外側でやった方が良い
comment x_1 ^n + x_2 ^n + .. + x_{n-1} ^n = y^n
comment となるような n>=3 で存在するかの話
comment GCD(x_1,x_2,...,x_{n-1}) = 1 これは実質的な解なだけ
comment 今回は n=5 の話
comment ここを変更しても別の例を求められる訳ではない
set n = 5
import sys
import time
import math
import bisect
comment ハッシュテー... | #coding=UTF-8
# anti_euler_v2の改良版
# 重い処理は外側でやった方が良い
# x_1 ^n + x_2 ^n + .. + x_{n-1} ^n = y^n
# となるような n>=3 で存在するかの話
# GCD(x_1,x_2,...,x_{n-1}) = 1 これは実質的な解なだけ
# 今回は n=5 の話
# ここを変更しても別の例を求められる訳ではない
n=5
import sys
import time
import math
import bisect
# ハッシュテーブルをリストで記録し、探索に二分探索を用いる
# 辞書より速いかどうかは不明
# 辞書の方は平均 O(1) と書... | Python | zaydzuhri_stack_edu_python |
function rec_default self
begin
pass
end function | def rec_default(self):
pass | Python | nomic_cornstack_python_v1 |
function configure_states_introspection state_options time_options control_options parameter_options polynomial_control_options ode
begin
set time_units = time_options at string units
for tuple state_name options in items state_options
begin
set user_targets = options at string targets
set user_units = options at strin... | def configure_states_introspection(state_options, time_options, control_options, parameter_options,
polynomial_control_options, ode):
time_units = time_options['units']
for state_name, options in state_options.items():
user_targets = options['targets']
user_un... | Python | nomic_cornstack_python_v1 |
function verify_route_table_label device label=none php_label=none max_time=60 check_interval=10
begin
set timeout = call Timeout max_time check_interval
while call iterate
begin
try
begin
set out = parse device format string show route table mpls.0 label {label} label=label
end
except SchemaEmptyParserError
begin
slee... | def verify_route_table_label(device,
label=None,
php_label=None,
max_time=60,
check_interval=10):
timeout = Timeout(max_time, check_interval)
while timeout.iterate():
try:
out... | Python | nomic_cornstack_python_v1 |
import torch.nn as nn
class A extends Module
begin
function __init__ self target c
begin
call __init__
comment we 'detach' the target content from the tree used
comment to dynamically compute the gradient: this is a stated value,
comment not a variable. Otherwise the forward method of the criterion
comment will throw a... | import torch.nn as nn
class A(nn.Module):
def __init__(self, target, c):
super(A, self).__init__()
# we 'detach' the target content from the tree used
# to dynamically compute the gradient: this is a stated value,
# not a variable. Otherwise the forward method of the criterion
... | Python | zaydzuhri_stack_edu_python |
string 三个点号，表示的是模块（module）的注释，请知悉哦
import Basic_Python.chapter5 as t
set name = string Peter
set age = 17
comment print(t.sys.path)
comment infos = dir()
comment print(infos)
print string name: __name__
print string file: __file__
print string package: __package__
print string doc: __doc__ | '''
三个点号，表示的是模块（module）的注释，请知悉哦
'''
import Basic_Python.chapter5 as t
name = 'Peter'
age = 17
# print(t.sys.path)
# infos = dir()
#
# print(infos)
print("name:",__name__)
print("file:",__file__)
print("package:",__package__)
print("doc:",__doc__) | Python | zaydzuhri_stack_edu_python |
import dialogflow
comment Define the project ID and session ID
set PROJECT_ID = string <my project id> | import dialogflow
# Define the project ID and session ID
PROJECT_ID = '<my project id>' | Python | iamtarun_python_18k_alpaca |
function push s
begin
call push
end function | def push(s):
s.push() | Python | nomic_cornstack_python_v1 |
function exec_run self cid cmd
begin
set execid = call exec_create cid cmd
return call exec_start execid at string Id
end function | def exec_run(self, cid: str, cmd: str) -> bytes:
execid = self._client.exec_create(cid, cmd)
return self._client.exec_start(execid['Id']) | Python | nomic_cornstack_python_v1 |
function trigger_event self module_name event
begin
if module_name
begin
call process_event module_name event
end
end function | def trigger_event(self, module_name, event):
if module_name:
self._py3_wrapper.events_thread.process_event(module_name, event) | Python | nomic_cornstack_python_v1 |
string Utitlity functions for summarizing and analyzing data from the litter database. Used with a jupyter notebook. Creates folder structures, groups data, creates graphs and outputs JSON format data. See the repo @hammerdirt/three_year_final for the accompanying notebooks and intended use. Contact roger@hammerdirt.ch... | """
Utitlity functions for summarizing and analyzing data from the litter database. Used with a jupyter notebook.
Creates folder structures, groups data, creates graphs and outputs JSON format data.
See the repo @hammerdirt/three_year_final for the accompanying notebooks and intended use.
Contact roger@hammerdirt.ch... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Thu Apr 15 01:55:33 2021 @author: Loai
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import tensorflow as tf
__version__
comment Importing the dataset
set df = read csv string data important.csv
set X = iloc at tuple slice : : slice 2 : 12 :
s... | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 15 01:55:33 2021
@author: Loai
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import tensorflow as tf
tf.__version__
# Importing the dataset
df = pd.read_csv('data important.csv')
X=df.iloc[:,2:12]
Y=df.iloc[:,1:2]
# print(df... | Python | zaydzuhri_stack_edu_python |
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