code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
comment %load q02_plot/build.py
comment Default Imports
import pandas as pd
import matplotlib.pyplot as plt
from greyatomlib.descriptive_stats.q01_calculate_statistics.build import calculate_statistics
set dataframe = read csv string data/house_prices_multivariate.csv
set sale_price = loc at tuple slice : : string S... | # %load q02_plot/build.py
# Default Imports
import pandas as pd
import matplotlib.pyplot as plt
from greyatomlib.descriptive_stats.q01_calculate_statistics.build import calculate_statistics
dataframe = pd.read_csv('data/house_prices_multivariate.csv')
sale_price = dataframe.loc[:, 'SalePrice']
# Draw the plot for th... | Python | zaydzuhri_stack_edu_python |
function IsPointInsideMesh MeshObj PointInObjectSpace
begin
comment direction is irellevant unless mesh is REALLY wierd shaped
set direction = call Vector tuple 1 0 0
set epsilon = direction * 1e-06
set count = 0
set tuple result PointInObjectSpace normal index = call ray_cast PointInObjectSpace direction
while result
... | def IsPointInsideMesh(MeshObj, PointInObjectSpace):
#direction is irellevant unless mesh is REALLY wierd shaped
direction = mathutils.Vector((1,0,0))
epsilon = direction * 1e-6
count = 0
result, PointInObjectSpace, normal, index = MeshObj.ray_cast(PointInObjectSpace, direction)
while res... | Python | nomic_cornstack_python_v1 |
function deletePlayers
begin
set db = call connect
set cur = call cursor
comment If you are deleting players, you need to remove them
comment from the standings table as well so there aren't any
comment orphan standings for players that no longer exist.
execute cur string DELETE FROM standings
execute cur string DELETE... | def deletePlayers():
db = connect()
cur = db.cursor()
# If you are deleting players, you need to remove them
# from the standings table as well so there aren't any
# orphan standings for players that no longer exist.
cur.execute("DELETE FROM standings")
cur.execute("DELETE FROM players")
... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment Reading and preprocessing the data on shelter animals
import pandas
class AnimalData extends object
begin
function __init__ self filename=none
begin
set outcomeTypes = dict string Return_to_owner 0 ; string Euthanasia 1 ; string Died 2 ; string Adoption 3 ; string Transfer 4
set an... | #!/usr/bin/env python3
# Reading and preprocessing the data on shelter animals
import pandas
class AnimalData(object):
def __init__(self, filename=None):
self.outcomeTypes = {
'Return_to_owner': 0,
'Euthanasia': 1,
'Died': 2,
'Adoption': 3,
'Tra... | Python | zaydzuhri_stack_edu_python |
from socket import *
comment instancia socket
set s = call socket
comment conecta ao localhost na porta descrita
call connect tuple string localhost 8729
comment le, codifica e envia a mensagem
set minhastr = input string Digite uma mensagem para ser criptografada:
set meusbytes = encode str minhastr string UTF-8
call ... | from socket import *
s=socket() #instancia socket
s.connect(("localhost",8729)) #conecta ao localhost na porta descrita
#le, codifica e envia a mensagem
minhastr=input ("Digite uma mensagem para ser criptografada: ")
meusbytes=str... | Python | zaydzuhri_stack_edu_python |
from tkinter import *
set width = 720
set height = 720
set root = call Tk
set canvas = call Canvas root width=width height=height
call pack
class Map extends object
begin
function __init__ self
begin
set tilemap = list list 0 0 0 1 0 1 0 0 0 0 list 0 0 0 1 0 1 0 1 1 0 list 0 1 1 1 0 1 0 1 1 0 list 0 0 0 0 0 1 0 0 0 0 l... | from tkinter import *
width = 720
height =720
root = Tk()
canvas = Canvas(root,
width=width,
height=height)
canvas.pack()
class Map(object):
def __init__(self):
self.tilemap = [[0, 0, 0, 1, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 1, 0, 1, 1, 0],
... | Python | zaydzuhri_stack_edu_python |
function _fetch_object_children self treeitem
begin
set obj_children = list
set path_strings = list
set obj = obj
set obj_path = obj_path
if is instance obj list ? tuple ? set ? frozenset
begin
set obj_children = list comprehension tuple string i j for tuple i j in sorted enumerate obj
set path_strings = list compreh... | def _fetch_object_children(
self, treeitem: PythonObjectTreeItem
) -> list[PythonObjectTreeItem]:
obj_children = []
path_strings = []
obj = treeitem.obj
obj_path = treeitem.obj_path
if isinstance(obj, list | tuple | set | frozenset):
obj_children = [(str(i... | Python | nomic_cornstack_python_v1 |
function get_last_node node letter
begin
for l in letter
begin
if l not in keys letters
begin
return none
end
set node = letters at l
end
return node
end function | def get_last_node(node, letter):
for l in letter:
if l not in node.letters.keys():
return None
node = node.letters[l]
return node | Python | nomic_cornstack_python_v1 |
function test_unordenerd_names self
begin
comment Setup
set data = call DataFrame columns=list string country string region string subregion string city
set expected_result = 0
comment Run
set result = call get_geographical_granularity data
comment Check
assert result == expected_result
end function | def test_unordenerd_names(self):
# Setup
data = pd.DataFrame(columns=['country', 'region', 'subregion', 'city'])
expected_result = 0
# Run
result = get_geographical_granularity(data)
# Check
assert result == expected_result | Python | nomic_cornstack_python_v1 |
function test_min_length self
begin
call validate string
call validate string
call validate none
call validate string kevin
call validate string k
call validate string kevin
call validate string kevintastic
with assert raises ValidationError
begin
call validate string
end
with assert raises ValidationError
begin
call v... | def test_min_length(self):
Ascii(min_length=0).validate('')
Ascii(min_length=0, required=True).validate('')
Ascii(min_length=0).validate(None)
Ascii(min_length=0).validate('kevin')
Ascii(min_length=1).validate('k')
Ascii(min_length=5).validate('kevin')
Ascii(m... | Python | nomic_cornstack_python_v1 |
function most_common number_list
begin
set number_dict = dictionary
for number in number_list
begin
if number in number_dict
begin
set number_dict at number = number_dict at number + 1
end
else
begin
set number_dict at number = 1
end
end
set max_number = list - 1 - 1
for number in number_dict
begin
if max_number == lis... | def most_common(number_list):
number_dict = dict()
for number in number_list:
if number in number_dict:
number_dict[number] += 1
else:
number_dict[number] = 1
max_number = [-1, -1]
for number in number_dict:
if max_number == [-1, -1]:
max_numb... | Python | zaydzuhri_stack_edu_python |
function childrens_iterator self
begin
comment TODO : add some backtracking to prevent going twice in some places
yield self
for child in call childrens
begin
for node in call childrens_iterator
begin
yield node
end
end
end function | def childrens_iterator(self):
# TODO : add some backtracking to prevent going twice in some places
yield self
for child in self.childrens():
for node in child.childrens_iterator():
yield node | Python | nomic_cornstack_python_v1 |
function close self
begin
flush writer
end function | def close(self):
self.writer.flush() | Python | nomic_cornstack_python_v1 |
from datetime import datetime
import cv2 as cv
import os
import sys
import argparse
from skeleton_sequence import SkeletonSequence
comment use if necessary
comment sys.path.append('/usr/local/python')
try
begin
import pyopenpose as op
end
except ImportError as e
begin
print string Error: OpenPose library could not be f... | from datetime import datetime
import cv2 as cv
import os
import sys
import argparse
from skeleton_sequence import SkeletonSequence
# use if necessary
# sys.path.append('/usr/local/python')
try:
import pyopenpose as op
except ImportError as e:
print('Error: OpenPose library could not be found. Did you enable `... | Python | zaydzuhri_stack_edu_python |
function get_cas_list cas_file=CAS_PATH
begin
set cas_list = list
for line in open cas_file
begin
if not starts with line string #
begin
append cas_list split line string at 0
end
end
return cas_list
end function | def get_cas_list(cas_file=CAS_PATH):
cas_list = []
for line in open(cas_file):
if not line.startswith("#"):
cas_list.append(line.split("\t")[0])
return cas_list | Python | nomic_cornstack_python_v1 |
comment Bayley King
comment Python 3.7.3
comment Ploting function library for SOFM network
import funcs
function graphHeatmap Input Output
begin
string Function to graph the final heatmap for the best input for each output neuron
import matplotlib.pyplot as plt
import pickle as pkl
figure
set h = list
set output = loa... | # Bayley King
# Python 3.7.3
# Ploting function library for SOFM network
import funcs
def graphHeatmap(Input,Output):
'''
Function to graph the final heatmap for the best input for each output neuron
'''
import matplotlib.pyplot as plt
import pickle as pkl
plt.figure()
h = []
output = ... | Python | zaydzuhri_stack_edu_python |
comment Given an array of unsorted numbers and find a triplet in the array whose sum is as close to the target number
comment as possible, return the sum of the triplet. If there are more than one such triplet, return the sum of the
comment sum of the triplet with the triplet with the smallest sum.
function solution ar... | #Given an array of unsorted numbers and find a triplet in the array whose sum is as close to the target number
#as possible, return the sum of the triplet. If there are more than one such triplet, return the sum of the
#sum of the triplet with the triplet with the smallest sum.
def solution(array, target):
array.s... | Python | zaydzuhri_stack_edu_python |
import torch
import torch.nn as nn
import torch.nn.functional as F
import pyro
from pyro.nn import PyroSample , PyroModule
import pyro.distributions as dists
class Lenet5Deterministic extends Module
begin
function __init__ self
begin
call __init__
set conv1 = conv 2d 1 6 5 stride=1
set conv2 = conv 2d 6 16 5 stride=1
c... | import torch
import torch.nn as nn
import torch.nn.functional as F
import pyro
from pyro.nn import PyroSample, PyroModule
import pyro.distributions as dists
class Lenet5Deterministic(nn.Module):
def __init__(self):
super(Lenet5Deterministic, self).__init__()
self.conv1 = nn.Conv2d(1, 6, 5, s... | Python | zaydzuhri_stack_edu_python |
function add_datepart df fldname drop=true time=false
begin
set fld = df at fldname
set fld_dtype = dtype
if is instance fld_dtype DatetimeTZDtype
begin
set fld_dtype = datetime64
end
if not call issubdtype fld_dtype datetime64
begin
set df at fldname = call to_datetime fld infer_datetime_format=true
set fld = call to_... | def add_datepart(df, fldname, drop=True, time=False):
fld = df[fldname]
fld_dtype = fld.dtype
if isinstance(fld_dtype, pd.core.dtypes.dtypes.DatetimeTZDtype):
fld_dtype = np.datetime64
if not np.issubdtype(fld_dtype, np.datetime64):
df[fldname] = fld = pd.to_datetime(fld, infer_datetime... | Python | nomic_cornstack_python_v1 |
function normalize_instances self
begin
if not has attribute self string max_attribute_values
begin
call compute_instance_attribute_bounds
end
set new_instances = list
for instance in instances
begin
comment (instance - min_values) / (max_values - min_values)
append new_instances call normalize_instance instance
end
s... | def normalize_instances(self):
if not hasattr(self, "max_attribute_values"):
self.compute_instance_attribute_bounds()
new_instances = []
for instance in self.instances:
new_instances.append(self.normalize_instance(instance)) # (instance - min_values) / (max_values - min_v... | Python | nomic_cornstack_python_v1 |
function add_users data session
begin
for user in data at string users
begin
add session call User user_name=user at string user_name first_name=user at string first_name middle_name=user at string middle_name last_name=user at string last_name password=user at string password
end
end function | def add_users(data, session):
for user in data['users']:
session.add(User(
user_name=user['user_name'],
first_name=user['first_name'],
middle_name=user['middle_name'],
last_name=user['last_name'],
password=user['password']
)) | Python | nomic_cornstack_python_v1 |
function get_bprop_log1p self
begin
set reciprocal = call Reciprocal
function bprop x out dout
begin
set x_1p = x + 1
set g = call reciprocal x_1p
set dx = g * dout
return tuple dx 0
end function
return bprop
end function | def get_bprop_log1p(self):
reciprocal = P.Reciprocal()
def bprop(x, out, dout):
x_1p = x + 1
g = reciprocal(x_1p)
dx = g * dout
return dx, 0
return bprop | Python | nomic_cornstack_python_v1 |
comment Conversion from DFA to Regex
import json
import sys
import copy
set reg_exp = string
set dfa = dict
function get_input_symbol
begin
global dfa
set input_symbols = dictionary comprehension st : dictionary comprehension to : string for to in dfa at string states for st in dfa at string states
for val in dfa at... | # Conversion from DFA to Regex
import json
import sys
import copy
reg_exp = ''
dfa = {}
def get_input_symbol():
global dfa
input_symbols = {st: {to: '' for to in dfa['states']} for st in dfa['states']}
for val in dfa['transition_function']:
if input_symbols[val[0]][val[2]] == '':
inpu... | Python | zaydzuhri_stack_edu_python |
function lb self
begin
return view _lb
end function | def lb(self):
return self._lb.view() | Python | nomic_cornstack_python_v1 |
from odoo import fields , models
from odoo.exceptions import UserError
from odoo.tools.translate import _
function is_allowed_transition old_state new_state
begin
string :param old_state: the current state of the product :param new_state: the new state of the product :return: True if transistion is allowed, otherwise F... | from odoo import fields, models
from odoo.exceptions import UserError
from odoo.tools.translate import _
def is_allowed_transition(old_state, new_state):
"""
:param old_state: the current state of the product
:param new_state: the new state of the product
:return: True if transistion is allowed, other... | Python | zaydzuhri_stack_edu_python |
function write_log self log_type
begin
set key = call str_to_posix_fully_portable_filename string key
set now = call str_to_posix_fully_portable_filename string now
set log_filename = string . { now } . { log_type } . { key } .log
comment type: ignore
with open log_filename string w as fid
begin
write fid hash
end
end ... | def write_log(self, log_type: str) -> None:
key = str_to_posix_fully_portable_filename(str(self.key))
now = str_to_posix_fully_portable_filename(str(dt.datetime.now()))
log_filename = f'.{now}.{log_type}.{key}.log'
with self.cache_fs.open(log_filename, 'w') as fid: # type: ignore
... | Python | nomic_cornstack_python_v1 |
function _home_location self user
begin
try
begin
set home = get user string home
return _geocoder at home
end
except tuple AstralError KeyError as e
begin
raise call DataError e
end
end function | def _home_location(self, user):
try:
home = user.get('home')
return self._geocoder[home]
except (AstralError, KeyError) as e:
raise DataError(e) | Python | nomic_cornstack_python_v1 |
comment encoding: utf-8
string @author: weiyang_tang @contact: weiyang_tang@126.com @file: xlutilsDemo.py @time: 2019-02-04 23:21 @desc: 对已有的excel文件进行修改
import xlrd
from xlutils.copy import copy
comment 打开想要更改的excel文件
set old_excel = call open_workbook string data/weixinFridendList.xls formatting_info=true
comment 将操作文... | # encoding: utf-8
'''
@author: weiyang_tang
@contact: weiyang_tang@126.com
@file: xlutilsDemo.py
@time: 2019-02-04 23:21
@desc: 对已有的excel文件进行修改
'''
import xlrd
from xlutils.copy import copy
# 打开想要更改的excel文件
old_excel = xlrd.open_workbook('data/weixinFridendList.xls', formatting_info=True)
# 将操作文件对象拷贝，变成可写的workbook对象
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Wed Nov 21 09:31:56 2018 @author: ashish
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from pandas.plotting import scatter_matrix
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import On... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 21 09:31:56 2018
@author: ashish
"""
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from pandas.plotting import scatter_matrix
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import OneHotEncode... | Python | zaydzuhri_stack_edu_python |
function update_repos self
begin
set errors = false
with call ThreadPoolExecutor max_workers=num_worker as executor
begin
set future_to_update = dictionary comprehension call submit update_module module_path name setup : name for tuple name setup in sorted items modules
for future in call as_completed future_to_update
... | def update_repos(self):
errors = False
with ThreadPoolExecutor(max_workers=self.num_worker) as executor:
future_to_update = {
executor.submit(update_module, self.module_path, name, setup): name \
for name, setup in sorted(self.modules.items())}
for... | Python | nomic_cornstack_python_v1 |
function get_segment_length self dist=string path_length
begin
set T = call get_mst
set segment_length = call get_edge_attributes call get_graph dist
return segment_length
end function | def get_segment_length(self, dist='path_length'):
T = self.get_mst()
segment_length = nx.get_edge_attributes(T.get_graph(), dist)
return segment_length | Python | nomic_cornstack_python_v1 |
function turn_on_all_targets self
begin
for actor in _target_anatomy_actors
begin
call SetVisibility true
end
end function | def turn_on_all_targets(self):
for actor in self._target_anatomy_actors:
actor.SetVisibility(True) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
from __future__ import division
from sys import stdin , stdout
set MOD = 1000000007
set tuple K M = map int split read line stdin
set size = power 2 K
set cnt = 0
for k in call xrange size
begin
set ln = split read line stdin
for l in ln
begin
if l == string #
begin
set cnt = cnt + 1
end
end
en... | #!/usr/bin/python
from __future__ import division
from sys import stdin, stdout
MOD = 1000000007
K, M = map (int, stdin.readline ().split ())
size = pow (2, K)
cnt = 0
for k in xrange (size):
ln = stdin.readline ().split ()
for l in ln:
if l == '#':
cnt += 1
ways = pow (pow (2, pow (4, M, MOD - 1), MOD) - 1... | Python | zaydzuhri_stack_edu_python |
function set_cursor_manager self manager_class
begin
warn string set_cursor_manager is Deprecated DeprecationWarning stacklevel=2
set manager = call manager_class self
if not is instance manager CursorManager
begin
raise call TypeError string manager_class must be a subclass of CursorManager
end
set __cursor_manager = ... | def set_cursor_manager(self, manager_class):
warnings.warn(
"set_cursor_manager is Deprecated",
DeprecationWarning,
stacklevel=2)
manager = manager_class(self)
if not isinstance(manager, CursorManager):
raise TypeError("manager_class must be a subc... | Python | nomic_cornstack_python_v1 |
from ControllableSprite import ControllableSprite
class PoweredSprite extends ControllableSprite
begin
function __init__ self
begin
call __init__
set leftSpecailMove1Frames = list
set rightSpecailMove1Frames = list
set inSM1 = false
set inSM1Hit = false
set currentSkillObject = none
set skillAnimation = none
set skil... | from .ControllableSprite import ControllableSprite
class PoweredSprite(ControllableSprite):
def __init__(self):
super().__init__()
self.leftSpecailMove1Frames = []
self.rightSpecailMove1Frames = []
self.inSM1 = False
self.inSM1Hit = False
self.currentSkillObject = ... | Python | zaydzuhri_stack_edu_python |
comment @author:SRvSaha
comment chandu_and_consecutive_letters.py
comment Description :https://www.hackerearth.com/problem/algorithm/chandu-and-consecutive-letters/
set test_cases = input
while test_cases > 0
begin
set output_string = string
set string = call raw_input
for i in call xrange length string - 1
begin
if i... | #
# @author:SRvSaha
# chandu_and_consecutive_letters.py
# Description :https://www.hackerearth.com/problem/algorithm/chandu-and-consecutive-letters/
#
test_cases = input()
while test_cases > 0 :
output_string = ""
string = raw_input()
for i in xrange(len(string)-1):
if i != len(string)-2:
... | Python | zaydzuhri_stack_edu_python |
function done_action self
begin
set end = now
end function | def done_action(self) -> None:
self.end = datetime.now() | Python | nomic_cornstack_python_v1 |
import json
import array as arr
import numpy as np
set filename = string /Users/Michael/Desktop/SummerPhyiscs/run100.json
set electron_momenta = list
function main
begin
with open filename as jfile
begin
set data = load json jfile
for i in range length data at string events
begin
set momentum = data at string events a... | import json
import array as arr
import numpy as np
filename = "/Users/Michael/Desktop/SummerPhyiscs/run100.json"
electron_momenta = []
def main():
with open(filename) as jfile:
data = json.load(jfile)
for i in range(len(data['events'])):
momentum = data['events'][str(i)]['particles'][0]... | Python | zaydzuhri_stack_edu_python |
import tarfile
from pathlib import Path
function create_tar src dst exts=string jpeg|jpg|png
begin
string Creates archive from folders with images.
set tuple src dst = list comprehension call Path p for p in tuple src dst
set images = list
for ext in split exts string |
begin
for case in tuple lower ext upper ext
begi... | import tarfile
from pathlib import Path
def create_tar(src: Path, dst: Path, exts: str='jpeg|jpg|png'):
"""Creates archive from folders with images."""
src, dst = [Path(p) for p in (src, dst)]
images = []
for ext in exts.split('|'):
for case in (ext.lower(), ext.upper()):
for fil... | Python | zaydzuhri_stack_edu_python |
function datadog_tags self
begin
return get pulumi self string datadog_tags
end function | def datadog_tags(self) -> Optional[Sequence['outputs.ServiceIntegrationEndpointDatadogUserConfigDatadogTag']]:
return pulumi.get(self, "datadog_tags") | Python | nomic_cornstack_python_v1 |
function grant_user_access self user db_names strict=true
begin
set user = call get_name user
set uri = string /%s/%s/databases % tuple uri_base user
set db_names = call _get_db_names db_names strict=strict
set dbs = list comprehension dict string name db_name for db_name in db_names
set body = dict string databases db... | def grant_user_access(self, user, db_names, strict=True):
user = utils.get_name(user)
uri = "/%s/%s/databases" % (self.uri_base, user)
db_names = self._get_db_names(db_names, strict=strict)
dbs = [{"name": db_name} for db_name in db_names]
body = {"databases": dbs}
try:
... | Python | nomic_cornstack_python_v1 |
class BinarySearchTree
begin
function __init__ self data
begin
set left = none
set right = none
set data = data
end function
function print_tree self
begin
if left
begin
call print_tree
end
print data
if right
begin
call print_tree
end
end function
end class
function add root
begin
if root == none
begin
return 0
end
re... | class BinarySearchTree:
def __init__(self,data):
self.left = None
self.right = None
self.data = data
def print_tree(self):
if self.left:
self.left.print_tree()
print(self.data)
if self.right:
self.right.print_tree()
def add(root):
if ... | Python | zaydzuhri_stack_edu_python |
function editable_str self
begin
return join string list comprehension call __unicode__ for e in entries
end function | def editable_str(self):
return "\n".join([e.__unicode__() for e in self.entries]) | Python | nomic_cornstack_python_v1 |
function testGetInterfaceStatus self
begin
call get_interface_status file_name=string get_interface_status.xml interface_status=sysDict at string interface_status
end function | def testGetInterfaceStatus(self):
self.sys_cfg.get_interface_status(
file_name='get_interface_status.xml',
interface_status=sysDict['interface_status']) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding: utf-8
comment In[1]:
comment 예외 처리를 이용해서 숫자와 문자가 혼용되어 있는 배열을 정렬하기
set integer = list
set string = list
while true
begin
set data = input string 입력하세요(quit를 입력하면 프로그램 종료) :
if lower data == string quit
begin
break
end
comment 우선 데이터를 정수화 해서 정수 리스트에 담는다
try
begin
append intege... | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# 예외 처리를 이용해서 숫자와 문자가 혼용되어 있는 배열을 정렬하기
integer =list()
string = list()
while True :
data = input('입력하세요(quit를 입력하면 프로그램 종료) :')
if data.lower() =='quit':
break
try : # 우선 데이터를 정수화 해서 정수 리스트에 담는다
integer.append(int(data))
except : # 오류가 나면... | Python | zaydzuhri_stack_edu_python |
function times_list soup_times
begin
comment convert all bs4 tags to strings
set html_str_times = list map str soup_times
comment remove all tags from time stamps.
set no_tag_times = list map de_tag html_str_times
set abs_times = list map abstime no_tag_times
return call split_halves abs_times
end function | def times_list(soup_times):
html_str_times = list(map(str, soup_times))#convert all bs4 tags to strings
no_tag_times = list(map(de_tag, html_str_times)) #remove all tags from time stamps.
abs_times = list(map(abstime, no_tag_times))
return split_halves(abs_times) | Python | nomic_cornstack_python_v1 |
import os
import re
import linecache
import numpy as np
import pandas as pd
import codecs
function get_value file
begin
set ans = list
set f = open file string r string utf_16_be
set lines = read lines f 1000
set lineA = lines at 2
set pitchA = split re string , lineA
set lineB = lines at 4
set pitchB = split re strin... | import os
import re
import linecache
import numpy as np
import pandas as pd
import codecs
def get_value(file):
ans = []
f = codecs.open(file, 'r', 'utf_16_be')
lines = f.readlines(1000)
lineA = lines[2]
pitchA = re.split(',', lineA)
lineB = lines[4]
pitchB = re.split(',', li... | Python | zaydzuhri_stack_edu_python |
function _get_bounding_box_from_neighbors self neighbors
begin
set west = west
set east = east
set south = none
if get neighbors string south
begin
set south = south
end
else
begin
set south = south
end
set north = none
if get neighbors string north
begin
set north = north
end
else
begin
set north = north
end
return ca... | def _get_bounding_box_from_neighbors(self, neighbors: dict):
west = BoundingBox.from_geohash(neighbors["west"]).west
east = BoundingBox.from_geohash(neighbors["east"]).east
south = None
if neighbors.get("south"):
south = BoundingBox.from_geohash(neighbors["south"]).south
... | Python | nomic_cornstack_python_v1 |
function encode_data df
begin
set min_val = min - 0.05
set max_val = max + 0.05
set resolution = 0.0001
set n = integer max_val - min_val / resolution
set df at string Change_id = as type df at string Change - min_val / resolution int
return tuple df n
end function | def encode_data(df):
min_val = df['Change'].min()- 0.05
max_val = df['Change'].max()+ 0.05
resolution = 0.0001
n = int((max_val-min_val)/resolution)
df['Change_id'] = ((df['Change']-min_val)/resolution).astype(int)
return df, n | Python | nomic_cornstack_python_v1 |
import pandas as pd
import numpy as np
from scipy import stats
from ggplot import *
set stroop = read csv string stroopdata.csv
set stroop at string difference = Incongruent - Congruent
mean stroop
variance stroop
standard deviation stroop
describe stroop
comment Standard error of the mean
standard deviation stroop / s... | import pandas as pd
import numpy as np
from scipy import stats
from ggplot import *
stroop = pd.read_csv('stroopdata.csv')
stroop['difference'] = stroop.Incongruent - stroop.Congruent
stroop.mean()
stroop.var()
stroop.std()
stroop.describe()
# Standard error of the mean
stroop.std() / np.sqrt(stroop.count())
# Expl... | Python | zaydzuhri_stack_edu_python |
function __filter_jobs self job_url
begin
set soup = call __get_html_parser job_url
comment {'class': 'FYwKg WaMPc_4'})
set results = find soup string div dict string data-automation string jobAdDetails
set listed_items = find all results string li
set job_description = call PrefixTrie
for item in listed_items
begin
se... | def __filter_jobs(self, job_url: str):
soup = self.__get_html_parser(job_url)
results = soup.find('div', {'data-automation': 'jobAdDetails'}) # {'class': 'FYwKg WaMPc_4'})
listed_items = results.find_all('li')
job_description = PrefixTrie()
for item in listed_items:
... | Python | nomic_cornstack_python_v1 |
function classify_dot_segments classifiers run_ids db_name db_folder=none
begin
if db_folder is none
begin
set db_folder = config at string db_folder
end
with call switch_database db_name db_folder
begin
set clf_result : Dict at tuple int Dict at tuple str Union at tuple bool int = dict
for data_id in run_ids
begin
se... | def classify_dot_segments(
classifiers: DotClassifierDict,
run_ids: List[int],
db_name: str,
db_folder: Optional[str] = None,
) -> Dict[int, Dict[str, Union[bool, int]]]:
if db_folder is None:
db_folder = nt.config["db_folder"]
with nt.switch_database(db_name, db_folder):
clf_r... | Python | nomic_cornstack_python_v1 |
function RadialModel radii intens dims center q pa c=0.0
begin
comment IMPORT STUFF
from scipy import interpolate as interp
comment END IMPORT
comment y,x!
set n = tuple dims at slice - 1 : : - 1
comment y,x!
set ecenter = tuple center at slice - 1 : : - 1
set radial_mask = call dist_superellipse n ecenter q=q pos_an... | def RadialModel(radii,intens,dims,center,q,pa,c=0.):
# IMPORT STUFF
from scipy import interpolate as interp
# END IMPORT
n = tuple(dims[-1::-1]) # y,x!
ecenter = tuple(center[-1::-1]) # y,x!
radial_mask = dist_superellipse(n,ecenter,q=q,pos_ang=pa,c=c)
arg = num.where(radial_mask<=radii... | Python | nomic_cornstack_python_v1 |
function complex_intervals f eps=none inf=none sup=none fast=false sqf=false
begin
return call dmp_complex_intervals rep lev dom eps=eps inf=inf sup=sup fast=fast
end function | def complex_intervals(f, eps=None, inf=None, sup=None, fast=False, sqf=False):
return dmp_complex_intervals(f.rep, f.lev, f.dom, eps=eps, inf=inf, sup=sup, fast=fast) | Python | nomic_cornstack_python_v1 |
function get_searchkey self
begin
return expiration_date
end function | def get_searchkey(self):
return self.expiration_date | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
comment emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
comment vi: set ft=python sts=4 ts=4 sw=4 et:
function ambiguous_match string pattern wildcards
begin
string Match strings via a custom, regular-expression-like syntax based on wildcard characters (e.g., * and ... | # -*- coding: utf-8 -*-
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
def ambiguous_match(string, pattern, wildcards):
"""
Match strings via a custom, regular-expression-like syntax based on
wildcard characters (e.g., * and ? and # etc.... | Python | zaydzuhri_stack_edu_python |
function db_for_write self model **hints
begin
if app_label == string display_map
begin
return string datastore
end
return none
end function | def db_for_write(self, model, **hints):
if model._meta.app_label == 'display_map':
return 'datastore'
return None | Python | nomic_cornstack_python_v1 |
string Problem Challenge 1 Find the Corrupt Pair (easy) We are given an unsorted array containing ‘n’ numbers taken from the range 1 to ‘n’. The array originally contained all the numbers from 1 to ‘n’, but due to a data error, one of the numbers got duplicated which also resulted in one number going missing. Find both... | '''
Problem Challenge 1
Find the Corrupt Pair (easy)
We are given an unsorted array containing ‘n’ numbers taken from the range 1 to ‘n’. The array originally contained all the numbers from 1 to ‘n’, but due to a data error, one of the numbers got duplicated which also resulted in one number going missing. Find both ... | Python | zaydzuhri_stack_edu_python |
function get_name self op_type
begin
function _gen t
begin
set t = lower t
if t not in local_op_namespace
begin
set local_op_namespace at t = START_IDX
set suffix = string
end
else
begin
set local_op_namespace at t = local_op_namespace at t + 1
set suffix = string { local_op_namespace at t - 1 }
end
return string { ca... | def get_name(self, op_type):
def _gen(t):
t = t.lower()
if t not in self.local_op_namespace:
self.local_op_namespace[t] = START_IDX
suffix = ""
else:
self.local_op_namespace[t] += 1
suffix = f"{self.local_op_nam... | Python | nomic_cornstack_python_v1 |
comment ---------------------------------------------------------------
comment python best courses https://courses.tanpham.org/
comment ---------------------------------------------------------------
comment Write a Python program that accepts an integer (n) and computes the value of
comment n+nn+nnn. Go to the editor... | # ---------------------------------------------------------------
# python best courses https://courses.tanpham.org/
# ---------------------------------------------------------------
# Write a Python program that accepts an integer (n) and computes the value of
# n+nn+nnn. Go to the editor
# Sample value of n is 5
# Ex... | Python | zaydzuhri_stack_edu_python |
class BankAccount
begin
function __init__ self name balance
begin
set name = name
set balance = balance
end function
function deposit self amount
begin
set balance = balance + amount
end function
function withdraw self amount
begin
set balance = balance - amount
end function
function get_balance self
begin
return balan... | class BankAccount:
def __init__(self, name, balance):
self.name = name
self.balance = balance
def deposit(self, amount):
self.balance += amount
def withdraw(self, amount):
self.balance -= amount
def get_balance(self):
return self.balance
| Python | flytech_python_25k |
function generate_distorted_t t C sigma
begin
set S_u = call generate_S_u t
set m = call multivariate_normal mean=zeros length C cov=C
set noise = call generate_noisy_window length t sigma
return dot S_u m + noise
end function | def generate_distorted_t(t, C, sigma):
S_u = generate_S_u(t)
m= np.random.multivariate_normal(mean= np.zeros(len(C)), cov=C)
noise= generate_noisy_window(len(t), sigma)
return np.dot(S_u, m) + noise | Python | nomic_cornstack_python_v1 |
function tearDown self
begin
call Empty
end function | def tearDown(self):
self._resolver_context.Empty() | Python | nomic_cornstack_python_v1 |
comment -*- coding:utf-8 -*-
function parttion nums low high
begin
set key = nums at low
while low < high
begin
while low < high and nums at high > key
begin
set high = high - 1
end
comment 当出现<key的情况
if low < high
begin
comment 交换key和<key的元素
set tuple nums at low nums at high = tuple nums at high nums at low
end
else
... | # -*- coding:utf-8 -*-
def parttion(nums, low, high):
key = nums[low]
while low < high:
while low < high and nums[high] > key:
high -= 1
if low < high: # 当出现<key的情况
nums[low], nums[high] = nums[high], nums[low] # 交换key和<key的元素
else:
break
w... | Python | zaydzuhri_stack_edu_python |
from unittest import TestCase
from Util.extensions import convert_int_to_degrees , convert_angle_to_compass_direction , convert_compass_direction_to_angle , CompassDirections
class extensions extends TestCase
begin
function test_convert_int_to_degrees self
begin
set normal_degree = 50
set ret_normal_degrees = call conv... | from unittest import TestCase
from Util.extensions import convert_int_to_degrees, convert_angle_to_compass_direction, \
convert_compass_direction_to_angle, CompassDirections
class extensions(TestCase):
def test_convert_int_to_degrees(self):
normal_degree = 50
ret_normal_degrees = convert_int_t... | Python | zaydzuhri_stack_edu_python |
function format_raw_input user_input
begin
comment Replace silly “ or ” characters with "
comment TODO: Swap out with regex
set raw_input = replace replace replace replace strip user_input string “ string " string ” string " string , string string string
comment Break apart the string into each coordinate
set raw_inpu... | def format_raw_input(user_input):
# Replace silly “ or ” characters with "
# TODO: Swap out with regex
raw_input = user_input.strip().replace(
'“', '"').replace("”", '"').replace(",", "").replace("\n", " ")
# Break apart the string into each coordinate
raw_inputs = [r.replace('"', '') for r ... | Python | nomic_cornstack_python_v1 |
for i in range nofroads
begin
append l tuple split input
end
set roads = list comprehension tuple integer x integer y integer z for tuple x y z in l
set m = list
set nofqueries = integer input
for i in range nofqueries
begin
append m tuple split input
end
set queries = list comprehension tuple integer x integer y for ... | for i in range(nofroads):
l.append(tuple(input().split()))
roads = [(int(x), int(y), int(z)) for (x, y, z) in l]
m = []
nofqueries = int(input())
for i in range(nofqueries):
m.append(tuple(input().split()))
queries = [(int(x), int(y)) for (x, y) in m]
country = dict()
for i in range(nofcities):
country[i ... | Python | zaydzuhri_stack_edu_python |
function R_Zh_nexrad d
begin
import numpy as np
comment Ref
set zh = d at 3
comment Coefficients
set c = 0.017
set a = 0.714
set est = c * zh ^ a / 12
return tuple est d at - 1
end function | def R_Zh_nexrad (d) :
import numpy as np
zh = d[3] # Ref
# Coefficients
c = 0.017
a = 0.714
est = c * zh ** a / 12
return est, d[-1] | Python | nomic_cornstack_python_v1 |
import numpy as np
import matplotlib.pyplot as plt
import operator
set dataSet = array list list 1 1.1 list 1 1 list 0 0 list 0 0.1
set labels = array list string A string A string B string B
set tr_labels = array list list string A list string A list string B list string B
comment inputX 单个点
comment 训练得出结果
function cl... | import numpy as np
import matplotlib.pyplot as plt
import operator
dataSet = np.array([[1,1.1],[1,1],[0,0],[0,0.1]])
labels = np.array(["A","A","B","B"])
tr_labels = np.array([["A"],['A'],['B'],['B']])
# inputX 单个点
# 训练得出结果
def classify(inputX, train_set,labels,k):
# if(train_set.shape[1] != len(inputX[0])):
... | Python | zaydzuhri_stack_edu_python |
function testall cls requests statuses=none
begin
return call _testall requests Testall statuses
end function | def testall(cls, requests, statuses=None):
return _testall(requests, MPI.Request.Testall, statuses) | Python | nomic_cornstack_python_v1 |
function _install_ngs_tools
begin
call _install_bowtie
call _install_bwa
call _install_samtools
call _install_fastx_toolkit
call _install_maq
comment _install_bfast()
if install_ucsc
begin
call _install_ucsc_tools
end
end function | def _install_ngs_tools():
_install_bowtie()
_install_bwa()
_install_samtools()
_install_fastx_toolkit()
_install_maq()
#_install_bfast()
if env.install_ucsc:
_install_ucsc_tools() | Python | nomic_cornstack_python_v1 |
comment @lc app=leetcode.cn id=449 lang=python
comment [449] 序列化和反序列化二叉搜索树
comment https://leetcode-cn.com/problems/serialize-and-deserialize-bst/description/
comment algorithms
comment Medium (51.36%)
comment Likes: 71
comment Dislikes: 0
comment Total Accepted: 5.4K
comment Total Submissions: 10.3K
comment Testcase E... | #
# @lc app=leetcode.cn id=449 lang=python
#
# [449] 序列化和反序列化二叉搜索树
#
# https://leetcode-cn.com/problems/serialize-and-deserialize-bst/description/
#
# algorithms
# Medium (51.36%)
# Likes: 71
# Dislikes: 0
# Total Accepted: 5.4K
# Total Submissions: 10.3K
# Testcase Example: '[2,1,3]'
#
# 序列化是将数据结构或对象转换为一系列位的过程，... | Python | zaydzuhri_stack_edu_python |
import csv
import pandas as pd
function load_dataset dataset_name
begin
set files_folder = dataset_name + string /
set dataSetIn = files_folder + string Export_textiles.tsv
comment dataSetIn = files_folder + 'diag.tsv'
comment dataSetIn = files_folder + 'dd.tsv'
comment print dataSetIn
with open dataSetIn as input
begi... | import csv
import pandas as pd
def load_dataset(dataset_name):
files_folder = dataset_name+'/'
dataSetIn = files_folder + 'Export_textiles.tsv'
# dataSetIn = files_folder + 'diag.tsv'
# dataSetIn = files_folder + 'dd.tsv'
# print dataSetIn
with open(dataSetIn) as input:
dataArray = [x... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn import svm
from sklearn import preprocessing
import binarize
comment digits = datasets.load_digits()
comment print(digits.data)
comment print(digits.target)
comment clf = svm.SVC(gamma=0.001, C=100)
comment img = digits.images[2]
comment print im... | import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn import svm
from sklearn import preprocessing
import binarize
#digits = datasets.load_digits()
##print(digits.data)
##print(digits.target)
#clf = svm.SVC(gamma=0.001, C=100)
#img = digits.images[2]
#print img
#binr = preprocessing.binarize(im... | Python | zaydzuhri_stack_edu_python |
function evolve_all_hosts h_dt tis drift_rate=0.0 theta=0.0 nsnps=0 binary_genomes=false
begin
return dictionary comprehension ix : call evolve_host hh=genomes ti=tis at ix drift_rate=drift_rate theta=theta nsnps=nsnps binary_genomes=binary_genomes for tuple ix genomes in items h_dt
end function | def evolve_all_hosts(h_dt, tis, drift_rate=0.0, theta=0.0, nsnps=0, binary_genomes=False):
return {ix: evolve_host(hh=genomes, ti=tis[ix], drift_rate=drift_rate, theta=theta,
nsnps=nsnps, binary_genomes=binary_genomes)
for ix, genomes in h_dt.items()} | Python | nomic_cornstack_python_v1 |
function alexnet pretrained=false
begin
set model = call AlexNet
if pretrained
begin
set model_path = string ./model/alexnet.pth.tar
set pretrained_model = load torch model_path
load state dict model pretrained_model at string state_dict
end
return model
end function | def alexnet(pretrained=False):
model = AlexNet()
if pretrained:
model_path = './model/alexnet.pth.tar'
pretrained_model = torch.load(model_path)
model.load_state_dict(pretrained_model['state_dict'])
return model | Python | nomic_cornstack_python_v1 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
class Net extends Module
begin
function __init__ self
begin
call __init__
set fc1 = linear 13 70
set fc2 = linear 70 2
comment self.fc3 = nn.Linear(35, 2)
comment self.fc4 = nn.Linear(16, 2)
set dropout = dropout p=0.0
en... | import torch
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
self.fc1 = nn.Linear(13,70)
self.fc2 = nn.Linear(70,2)
# self.fc3 = nn.Linear(35, 2)
# self.fc4 = nn.Line... | Python | zaydzuhri_stack_edu_python |
function test_task_failed self
begin
set task1 = call FailedTask call Mock total_retries=0
set task2 = call Mock execute_after=0
set g = call TaskDependencyGraph call MockWorkflowContext
set seq = call sequence
add seq task1 task2
with call limited_sleep_mock
begin
call assertRaisesRegex WorkflowFailed string failtask ... | def test_task_failed(self):
task1 = FailedTask(mock.Mock(), total_retries=0)
task2 = mock.Mock(execute_after=0)
g = TaskDependencyGraph(MockWorkflowContext())
seq = g.sequence()
seq.add(task1, task2)
with limited_sleep_mock():
self.assertRaisesRegex(Workflo... | Python | nomic_cornstack_python_v1 |
comment DeepYellowJ - Version 0.1 (c) 2016 Ahmad Nazeri
comment Piece - piece.py
comment This file is the object class for a piece.
comment The piece keeps track of name, color,
comment point value, and if it has been moved.
class Piece
begin
comment Constructor for Piece.
comment Parameters:
comment name - String
comm... | ## DeepYellowJ - Version 0.1 (c) 2016 Ahmad Nazeri
# Piece - piece.py
#
# This file is the object class for a piece.
# The piece keeps track of name, color,
# point value, and if it has been moved.
class Piece:
# Constructor for Piece.
#
# Parameters:
# name - String
# colo... | Python | zaydzuhri_stack_edu_python |
comment encoding:utf-8
comment 图像直方图均衡化
import numpy as np
import cv2
comment 读取灰度图像
set image = call imread string ../images/jay.jpg 0
image show string Original image
call waitKey 0
comment 灰度图像直方图均衡化
set eq = call equalizeHist image
image show string Histogram Equalization horizontal stack list image eq
call waitKey... | #encoding:utf-8
#
#图像直方图均衡化
#
import numpy as np
import cv2
image = cv2.imread("../images/jay.jpg",0)#读取灰度图像
cv2.imshow("Original",image)
cv2.waitKey(0)
eq = cv2.equalizeHist(image)#灰度图像直方图均衡化
cv2.imshow("Histogram Equalization", np.hstack([image, eq]))
cv2.waitKey(0) | Python | zaydzuhri_stack_edu_python |
function rsa_decrypt enc_msg private_key
begin
set key = call import_key private_key
set cipher_rsa = call new key
set msg = call decrypt enc_msg
return decode msg
end function | def rsa_decrypt(enc_msg: bytes, private_key: bytes) -> str:
key = RSA.import_key(private_key)
cipher_rsa = PKCS1_OAEP.new(key)
msg = cipher_rsa.decrypt(enc_msg)
return msg.decode() | Python | nomic_cornstack_python_v1 |
function remove_list_duplicates lista unique=false
begin
string Remove duplicated elements in a list. Args: lista: List with elements to clean duplicates.
set result = list
set allready = list
for elem in lista
begin
if elem not in result
begin
append result elem
end
else
begin
append allready elem
end
end
if unique
... | def remove_list_duplicates(lista, unique=False):
"""
Remove duplicated elements in a list.
Args:
lista: List with elements to clean duplicates.
"""
result = []
allready = []
for elem in lista:
if elem not in result:
result.append(elem)
else:
a... | Python | jtatman_500k |
comment !/usr/bin/python
from struct import *
import os
function bin num
begin
return call pack string >i num
end function
function build name
begin
set input = open name + string .list
set levels = split read input string
close input
set filenames = list
set special = list
set story = list
set clicks = list
for in... | #!/usr/bin/python
from struct import *
import os
def bin (num):
return pack('>i', num)
def build (name):
input = open(name + '.list')
levels = input.read().split("\n\n")
input.close()
filenames = []
special = []
story = []
clicks = []
for info in levels:
info = info.strip()
if not info or info.st... | Python | zaydzuhri_stack_edu_python |
string Pandas Part-II
import pandas as pd
set teams = list string Rajasthan Royals string Delhi Capitals string Chennai Super Kings string Mumbai Indians string Delhi Capitals string Kolkata Knight Riders string Chennai Super Kings string Deccan Chargers string Kings XI Punjab string Mumbai Indias
set ranks = list 2 3 ... | """
Pandas Part-II
"""
import pandas as pd
teams = [
"Rajasthan Royals",
"Delhi Capitals",
"Chennai Super Kings",
"Mumbai Indians",
"Delhi Capitals",
"Kolkata Knight Riders",
"Chennai Super Kings",
"Deccan Chargers",
"Kings XI Punjab",
"Mumbai Indias"
]
ranks = [2, 3, 4, 1... | Python | zaydzuhri_stack_edu_python |
import threading
import thread
import time
class check_threding
begin
function __init__ self
begin
pass
end function
function add_nos self a b c
begin
set add = a + b + c
print string #####
sleep 2
end function
end class | import threading
import thread
import time
class check_threding():
def __init__(self):
pass
def add_nos(self,a,b,c):
add = a + b + c
print("#####")
time.sleep(2) | Python | zaydzuhri_stack_edu_python |
import pygame
import random
import time
call init
set movement = tuple 1 0
set blockSize = 10
set width = 400
set height = 400
set gameInProgress = true
set clock = call Clock
set screen = call set_mode tuple width height
class button
begin
function __init__ self x y w h color text=string
begin
set x = x
set y = y
set ... | import pygame
import random
import time
pygame.init()
movement = (1, 0)
blockSize = 10
width = 400
height = 400
gameInProgress = True
clock = pygame.time.Clock()
screen = pygame.display.set_mode((width, height))
class button:
def __init__(self, x, y, w, h, color, text=''):
self.x = x
self.y = ... | Python | zaydzuhri_stack_edu_python |
function get_all self live_query=none
begin
if live_query
begin
set tuple lq_filters lq_fields = call _translate_live_query live_query
end
else
begin
set lq_filters = dict
set lq_fields = dict
end
set tuple query fields = call build_mongodb_query lq_filters lq_fields
if fields != dict
begin
set mongo_dicts = find ho... | def get_all(self, live_query=None):
if live_query:
lq_filters, lq_fields = _translate_live_query(live_query)
else:
lq_filters = {}
lq_fields = {}
query, fields = mongodb_query.build_mongodb_query(lq_filters,
... | Python | nomic_cornstack_python_v1 |
set dictionary = dict string Tractors 100 ; string Cars 50 | dictionary = { "Tractors": 100, "Cars": 50 } | Python | iamtarun_python_18k_alpaca |
string database.py
import json
from jsonpath import jsonpath
from mongoengine import connect
import os
from models import Enemy , Level , Game , Powerup
set DATABASE = string flask-mongodb-graphene
set PASSWORD = get environ string MONGODB_PASSWORD
set client = call connect DATABASE host=string mongodb+srv://mongograph... | """ database.py """
import json
from jsonpath import jsonpath
from mongoengine import connect
import os
from models import Enemy, Level, Game, Powerup
DATABASE = "flask-mongodb-graphene"
PASSWORD = os.environ.get("MONGODB_PASSWORD")
client = connect(
DATABASE,
host=f"mongodb+srv://mongograph:{PASSWORD}@clust... | Python | zaydzuhri_stack_edu_python |
function validate_shares self value
begin
if value < 1 or value > 100
begin
raise call ValidationError string Shares value has to be between 1 and 100.
end
return value
end function | def validate_shares(self, value):
if value < 1 or value > 100:
raise serializers.ValidationError('Shares value has to be between 1 and 100.')
return value | Python | nomic_cornstack_python_v1 |
comment LESSER OF TWO EVENS: Write a function that returns the lesser of two given numbers if both numbers are even, but returns the greater if one or both numbers are odd
function lesser_of_two_evens a b
begin
if a % 2 == 0 and b % 2 == 0
begin
return min a b
end
else
begin
return max a b
end
end function
comment CHEC... | #LESSER OF TWO EVENS: Write a function that returns the lesser of two given numbers if both numbers are even, but returns the greater if one or both numbers are odd
def lesser_of_two_evens(a,b):
if a%2==0 and b%2==0:
return min(a,b)
else:
return max(a,b)
#CHECK
result=lesser_of_two_evens(2,... | Python | zaydzuhri_stack_edu_python |
function password_strength s
begin
if length s < 8
begin
raise call ValidationError string Password must be more than 8 characters long
end
end function | def password_strength(s):
if len(s) < 8:
raise ValidationError('Password must be more than 8 characters long') | Python | nomic_cornstack_python_v1 |
comment 용현ver
function returnGCD num_list
begin
set num_list = list map lambda x -> integer x num_list
set max_num = max num_list
set i = 2
comment 최대 공약수
set gcd = 1
set cnt = 0
while true
begin
comment 입력 받은 수에 대해 특정 i 값으로 나눈값이 모두 0인 것을 찾는 루프문
for num in num_list
begin
if num % i == 0
begin
set cnt = cnt + 1
end
end
... | ###용현ver
def returnGCD(num_list):
num_list = list(map(lambda x: int(x), num_list))
max_num = max(num_list)
i = 2
gcd = 1 # 최대 공약수
cnt = 0
while True:
# 입력 받은 수에 대해 특정 i 값으로 나눈값이 모두 0인 것을 찾는 루프문
for num in num_list:
if num % i == 0:
cnt += 1
... | Python | zaydzuhri_stack_edu_python |
function sum_list lst
begin
if length lst == 1
begin
return lst at 0
end
else
begin
return lst at 0 + call sum_list lst at slice 1 : :
end
end function | def sum_list(lst):
if len(lst) == 1:
return lst[0]
else :
return lst[0] + sum_list(lst[1:]) | Python | nomic_cornstack_python_v1 |
import os
import socket
import struct
from typing import List , Tuple
from cares import rc4
try
begin
from cares import RR
end
except ImportError
begin
class RR
begin
string resource record of DNS, see https://www.ietf.org/rfc/rfc1035.txt for detail
set __slots__ = list string domain_name string qtype string qcls strin... | import os
import socket
import struct
from typing import List, Tuple
from .cares import rc4
try:
from .cares import RR
except ImportError:
class RR:
"""resource record of DNS, see https://www.ietf.org/rfc/rfc1035.txt for detail"""
__slots__ = ["domain_name", "qtype", "qcls", "ttl", "valu... | Python | zaydzuhri_stack_edu_python |
comment Unit 21. 터틀 그래픽스로 그림 그리기
comment 21.3 복잡한 도형 그리기
comment 21.3.1 원을 반복해서 그리기
import turtle as t
comment 원을 60번 그림
set n = 60
call shape string turtle
comment 거북이 속도를 가장 빠르게 설정
call speed string fastest
for i in range n
begin
comment 반지름이 120인 원을 그림
call circle 120
comment 오른쪽으로 6도 회전
call right 360 / n
end
call ... | ### Unit 21. 터틀 그래픽스로 그림 그리기
## 21.3 복잡한 도형 그리기
## 21.3.1 원을 반복해서 그리기
import turtle as t
n = 60 # 원을 60번 그림
t.shape('turtle')
t.speed('fastest') # 거북이 속도를 가장 빠르게 설정
for i in range(n):
t.circle(120) # 반지름이 120인 원을 그림
t.right(360 / n) # 오른쪽으로 6도 회전
t.mainloop()
## 속도
## 'fastest': 0
## 'fa... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Wed Dec 25 13:50:07 2019 @author: niles
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
comment converts a data into dataframe
set dataset = read csv string 50_Startups.csv
comment converts a data in to array
set X = values
set Y = values
from sklea... | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 25 13:50:07 2019
@author: niles
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# converts a data into dataframe
dataset=pd.read_csv('50_Startups.csv')
# converts a data in to array
X=dataset.iloc[:,:-1].values
Y=dataset.ilo... | Python | zaydzuhri_stack_edu_python |
string 클래스 오브젝트 : (객체 지향 프로그래밍 - OOP: Obj. Oriented Progmng) ** 함수형 프로그래밍 / 객체지향 프로그래밍 = 파이썬 특징의 2축! 1.클래스명 작명 = 파스칼 케이스 (ThisIsPascalCase) - 클래스 함수(매서드)의 첫번째 인자 = 인스턴스 자신(Self) - 클래스간 띄어쓰기는 2칸 / 함수(매서드)는 1칸 이다. 2.오브젝트(객체) : 클래스 오브젝트 <--> 인스턴스 - 값 (field) = 클래스변수 or 인스턴스 변수 - 기능 (method) = 매서드, 매직매서드, 더블언더스코어 3.클래스만의 매... | """ 클래스 오브젝트 : (객체 지향 프로그래밍 - OOP: Obj. Oriented Progmng)
** 함수형 프로그래밍 / 객체지향 프로그래밍 = 파이썬 특징의 2축!
1.클래스명 작명 = 파스칼 케이스 (ThisIsPascalCase)
- 클래스 함수(매서드)의 첫번째 인자 = 인스턴스 자신(Self)
- 클래스간 띄어쓰기는 2칸 / 함수(매서드)는 1칸 이다.
2.오브젝트(객체) : 클래스 오브젝트 <--> 인스턴스
- 값 (field) = 클래스변수 or 인스턴스 변수
- 기능 (method) = 매서드, 매직매서드, 더블언... | Python | zaydzuhri_stack_edu_python |
function __init__ self data test_num=0
begin
comment Initiate parent class and inherit all attributes and methods
call __init__ data=data args=none test_num=test_num
end function | def __init__(self,data,test_num=0):
# Initiate parent class and inherit all attributes and methods
super().__init__(data=data,args=None,test_num=test_num) | Python | nomic_cornstack_python_v1 |
function scale_number number factor
begin
set scaled_number = number * factor
set rounded_number = integer scaled_number * 10 + 0.5 // 10
return rounded_number
end function
comment Output: 5
print call scale_number 10 0.5
comment Output: 8
print call scale_number 5 1.5
comment Output: -20
print call scale_number 100 - ... | def scale_number(number, factor):
scaled_number = number * factor
rounded_number = int(scaled_number * 10 + 0.5) // 10
return rounded_number
print(scale_number(10, 0.5)) # Output: 5
print(scale_number(5, 1.5)) # Output: 8
print(scale_number(100, -0.2)) # Output: -20
print(scale_number(3.14159, 2.71828)... | Python | jtatman_500k |
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