code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function from_name cls name
begin
string Create a new Language instance from a name as string :param name: name as string :return: Language instance with instance.name() == name if name is valid else instance of UnknownLanguage
set name = lower string name
if name is string unknown or name is call _ string unknown
begi... | def from_name(cls, name):
"""
Create a new Language instance from a name as string
:param name: name as string
:return: Language instance with instance.name() == name if name is valid else instance of UnknownLanguage
"""
name = str(name).lower()
if name is 'unknow... | Python | jtatman_500k |
comment -*- coding: utf-8 -*-
comment 姓名：zry
comment @time: 2021/2/21 22:44
comment @File: 3_6_0class.py
comment 类是对象的抽象集合，对象是类的具体表现
comment 类class是描述具有相同属性和方法的对象的集合，它定义了该集合中每个对象所共有的属性和方法
comment 数据成员（属性）：类的不同属性数据，所有类中的变量称为属性
comment 对象：对象是类的实例
comment 方法：类中定义的函数，实现相关的功能
class Student
begin
comment 类属性或类变量，所有类的实例化对象都同时... | # -*- coding: utf-8 -*-
# 姓名：zry
# @time: 2021/2/21 22:44
# @File: 3_6_0class.py
# 类是对象的抽象集合，对象是类的具体表现
# 类class是描述具有相同属性和方法的对象的集合，它定义了该集合中每个对象所共有的属性和方法
# 数据成员（属性）：类的不同属性数据，所有类中的变量称为属性
# 对象：对象是类的实例
# 方法：类中定义的函数，实现相关的功能
class Student():
name = 'yourname' # 类属性或类变量，所有类的实例化对象都同时共享类变量
color = 'yellow'
def __i... | Python | zaydzuhri_stack_edu_python |
function plot_I1 i1Grid axes vmin=3.0 vmax=3.05 cmap=string PuBuGn
begin
image show i1Grid interpolation=string bicubic extent=tuple 0 1 1 0 cmap=cmap aspect=7.0 / 8.0 vmin=vmin vmax=vmax
set interp_scale = 8
set Z = call zoom i1Grid interp_scale
set xi = linear space 0.0 1.0 8 * interp_scale
set yi = linear space 0.0 ... | def plot_I1(i1Grid, axes, vmin=3.0, vmax=3.05, cmap='PuBuGn'):
axes.imshow(i1Grid, interpolation='bicubic', extent=(0, 1, 1, 0),
cmap=cmap, aspect=(7.0/8.0), vmin=vmin, vmax=vmax)
interp_scale = 8
Z = zoom(i1Grid, interp_scale)
xi = linspace(0.0, 1.0, 8 * interp_scale)
yi = linspace(0.0, 1.0... | Python | nomic_cornstack_python_v1 |
function encode_capped_sample_pair vocab text cap=512
begin
set enc = lambda x -> call sample_encode_as_ids x - 1 0.5
comment first try
set tuple src tgt = tuple call enc text call enc text
if length src <= cap and length tgt <= cap
begin
return tuple src tgt
end
comment sentence split and guess the number of sentences... | def encode_capped_sample_pair(vocab, text, cap= 512):
enc = lambda x: vocab.sample_encode_as_ids(x, -1, 0.5)
# first try
src, tgt = enc(text), enc(text)
if len(src) <= cap and len(tgt) <= cap: return src, tgt
# sentence split and guess the number of sentences that fit
sents = sent_tokenize(text)... | Python | nomic_cornstack_python_v1 |
comment WRITE YOUR CODE IN THIS FILE
comment define function
comment add parameters
function countA x
begin
set x = lower x
set z = 0
for i in range 0 length x
begin
if x at i == string a
begin
set z = z + 1
end
end
return z
end function
comment run function
print call countA string apple | #WRITE YOUR CODE IN THIS FILE
#define function
#add parameters
def countA(x):
x = x.lower()
z = 0
for i in range (0, len(x)):
if x[i] == 'a':
z = z + 1
return z
#run function
print(countA("apple")) | Python | zaydzuhri_stack_edu_python |
from sys import argv
function main
begin
comment TODO
set file_name = string
set max_arguments = 2
if length argv is not max_arguments
begin
print string Usage: python bleep.py dictionary
exit 1
end
else
begin
set file_name = argv at 1
end
set message = split input string What message would you like to censor?
set dic... | from sys import argv
def main():
# TODO
file_name = ""
max_arguments = 2
if len(argv) is not max_arguments:
print("Usage: python bleep.py dictionary")
exit(1)
else:
file_name = argv[1]
message = input("What message would you like to censor?\n").split()
dict_file... | Python | zaydzuhri_stack_edu_python |
function test_view_profile self
begin
call login username=string username3 password=string password
set interviewee = first filter username=string username3
set view_profile = get client reverse string main:view_profile
assert equal status_code 200
call assertContains view_profile string First Name
call assertContains ... | def test_view_profile(self):
self.client.login(username='username3', password='password')
interviewee = User.objects.filter(username= 'username3').first()
view_profile = self.client.get(reverse('main:view_profile'))
self.assertEqual(view_profile.status_code, 200)
self.assertConta... | Python | nomic_cornstack_python_v1 |
set string = string Hello, World!
print string | string = "Hello, World!"
print (string)
| Python | zaydzuhri_stack_edu_python |
function grid_shape config
begin
set size = call grid_size config
return tuple size size size call num_channels config
end function | def grid_shape(config):
size = grid_size(config)
return (size, size, size, num_channels(config)) | Python | nomic_cornstack_python_v1 |
import os
import csv
import re
function write_csv data file_name
begin
set fieldnames = list string post
with open file_name string a newline=string encoding=string utf-8-sig as f
begin
comment print(data)
set writer = dict writer f fieldnames=fieldnames
for note in data
begin
comment print(note)
write row writer note... | import os
import csv
import re
def write_csv(data, file_name):
fieldnames = ['post']
with open(file_name, 'a', newline='', encoding='utf-8-sig') as f:
#print(data)
writer = csv.DictWriter(f, fieldnames=fieldnames)
for note in data:
#print(note)
writer.writerow(note)
def csv_dict_reader(data_set):
arr=... | Python | zaydzuhri_stack_edu_python |
function delete_subscription self request=none subscription=none retry=DEFAULT timeout=none metadata=tuple
begin
comment Create or coerce a protobuf request object.
comment Sanity check: If we got a request object, we should *not* have
comment gotten any keyword arguments that map to the request.
if request is not none... | def delete_subscription(self,
request: pubsub.DeleteSubscriptionRequest = None,
*,
subscription: str = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> None:
... | Python | nomic_cornstack_python_v1 |
function validate_format self
begin
return all list call validate_header_keyword call validate_type_keyword call validate_type_annotations call validate_unique_header call validate_against_header_count
end function | def validate_format(self):
return all(
[
self.validate_header_keyword(),
self.validate_type_keyword(),
self.validate_type_annotations(),
self.validate_unique_header(),
self.validate_against_header_count(),
]
... | Python | nomic_cornstack_python_v1 |
function geopotential_at_model_levels dlnp Tv Z0 alpha levs z_axis=1 t_axis=0
begin
comment Move z_axis to front
set _dlnp = call moveaxis dlnp z_axis 0
set _Tv = call moveaxis Tv z_axis 0
set _alpha = call moveaxis alpha z_axis 0
set t_axis = if expression t_axis < z_axis then t_axis + 1 else t_axis
comment Geopotenti... | def geopotential_at_model_levels(dlnp, Tv, Z0, alpha, levs, z_axis=1, t_axis=0):
# Move z_axis to front
_dlnp = np.moveaxis(dlnp, z_axis, 0)
_Tv = np.moveaxis(Tv, z_axis, 0)
_alpha = np.moveaxis(alpha, z_axis, 0)
t_axis = t_axis+1 if t_axis < z_axis else t_axis
# Geopotential jump over... | Python | nomic_cornstack_python_v1 |
function get_cleaned_fully_merged_messages strip_html_content=true resolve_fb_id=false
begin
if not _messages_file
begin
print string Please initialize the facebook_connector module.
return
end
set chats = none
with open _messages_file mode=string rt encoding=string utf-8 as handle
begin
set chats = parse parser handle... | def get_cleaned_fully_merged_messages(strip_html_content=True,
resolve_fb_id=False):
if not _messages_file:
print("Please initialize the facebook_connector module.")
return
chats = None
with io.open(_messages_file, mode="rt", encoding="utf-8") as handle:... | Python | nomic_cornstack_python_v1 |
import math
import numpy as np
class Diagnostic_assessment
begin
string Расчет оценки достоверности диагностики. Вычисляются оценки первого и второго рода. Для этого вычисляются: расстояние Махаланобиса, стандартное отклонение 1, 2 и функции от них, а именно экспонента и интеграл Лапласа
function __init__ self a1 a2 in... | import math
import numpy as np
class Diagnostic_assessment:
'''
Расчет оценки достоверности диагностики. Вычисляются оценки первого и второго рода.
Для этого вычисляются: расстояние Махаланобиса, стандартное отклонение 1, 2 и функции от них, а именно экспонента и интеграл Лапласа
'''
def __init__(s... | Python | zaydzuhri_stack_edu_python |
function send cls nid data timestamp=none
begin
if call has_key nid
begin
if data
begin
for tuple val typ in zip data nodes at nid at string data
begin
call _output nid val typ timestamp
end
end
end
end function | def send(cls, nid, data, timestamp=None):
if nodes.has_key(nid):
if data:
for val, typ in zip(data, nodes[nid]['data']):
cls._output(nid, val, typ, timestamp) | Python | nomic_cornstack_python_v1 |
function update_archive self population offsprings generation
begin
comment Get list of ordered indexes according to selection strategy
if selection_operator == string random
begin
set idx = list range size
shuffle random idx
end
else
if selection_operator == string best
begin
set performances = offsprings at update_cr... | def update_archive(self, population, offsprings, generation):
# Get list of ordered indexes according to selection strategy
if self.params.selection_operator == 'random':
idx = list(range(offsprings.size))
np.random.shuffle(idx)
elif self.params.selection_operator == 'best':
performances =... | Python | nomic_cornstack_python_v1 |
import matplotlib.pyplot as plt
function chart_learning_rate x training_accuracy test_accuracy
begin
string Author: Mike Allen :param: x, training_accuracy, test_accuracy :return: figure
comment x = results['n']
comment results['training_accuracy']
set y1 = training_accuracy
comment results['test_accuracy']
set y2 = te... | import matplotlib.pyplot as plt
def chart_learning_rate(x, training_accuracy, test_accuracy):
"""
Author: Mike Allen
:param: x, training_accuracy, test_accuracy
:return: figure
"""
# x = results['n']
y1 = training_accuracy # results['training_accuracy']
y2 = test_accuracy ... | Python | zaydzuhri_stack_edu_python |
function az_stone_policy_head input normalization nonl boardsize actionsize
begin
set net = call nonl call normalization conv 2d input filters=2 kernel_size=list 1 1 padding=string same
set logits = dense reshape tf net list - 1 boardsize * boardsize * 2 actionsize
return logits
end function | def az_stone_policy_head(input, normalization, nonl, boardsize, actionsize):
net = nonl((normalization(tf.layers.conv2d(input, filters=2, kernel_size=[1, 1], padding="same"))))
logits = tf.layers.dense(tf.reshape(net, [-1, boardsize * boardsize * 2]), actionsize)
return logits | Python | nomic_cornstack_python_v1 |
comment ----------------------------------------------------------------------
comment centralities
comment Computes centralities of graphs
comment Author: Emanuele Pesce
comment ----------------------------------------------------------------------
import networkx as nx
import csv
import fnmatch
import os
function app... | #----------------------------------------------------------------------
# centralities
#
# Computes centralities of graphs
#
# Author: Emanuele Pesce
#----------------------------------------------------------------------
import networkx as nx
import csv
import fnmatch
import os
def applyAnalysis(pathIn, filename = ... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from osgeo import gdal , ogr
from qgis.core import *
from qgis.PyQt.QtCore import QVariant
from datetime import datetime
function extract_arrays layer excludeNone
begin
string Function to extract numpy arrays from a QgsVectorLayer for analysis Parameters ---------- vectorlayer : qgis._core.QgsVectorL... | import numpy as np
from osgeo import gdal, ogr
from qgis.core import *
from qgis.PyQt.QtCore import QVariant
from datetime import datetime
def extract_arrays(layer, excludeNone):
'''Function to extract numpy arrays from a QgsVectorLayer for analysis
Parameters
----------
vectorlayer : ... | Python | zaydzuhri_stack_edu_python |
function name self
begin
if _actuator_type == string INFINITY_OUTPUT_MODULE
begin
return string { service_location_name } - Output module - { _actuator_name } - { _actuator_state_option }
end
comment Switch or comfort plug
return string { service_location_name } - { title _actuator_type } - { _actuator_name }
end funct... | def name(self):
if self._actuator_type == "INFINITY_OUTPUT_MODULE":
return (
f"{self._service_location.service_location_name} - "
f"Output module - {self._actuator_name} - {self._actuator_state_option}"
)
# Switch or comfort plug
return (
... | Python | nomic_cornstack_python_v1 |
import sys
set case = integer input
set result = list
set sum = list
set percent = list
for i in range 0 case
begin
set score = call rsplit
append result score
append sum 0
append percent 0
end
set i = 0
while i < case
begin
for j in range 0 integer result at i at 0
begin
for k in range 1 integer result at i at 0 + 1
b... | import sys
case = int(input())
result = list()
sum = list()
percent = list()
for i in range(0,case) :
score = sys.stdin.readline().strip().rsplit()
result.append(score)
sum.append(0)
percent.append(0)
i = 0
while i < case :
for j in range(0, int(result[i][0])) :
for k in range(1, int(r... | Python | zaydzuhri_stack_edu_python |
function circ_seg x1 y1 x2 y2 r
begin
set x = call euclidean x1 y1 x2 y2 / 2
set y = square root r ^ 2 - x ^ 2
set ATriangles = x * y
comment angle of sector (radians)
set theta = 2 * call arcsin x / r
comment area of whole circle
set ACircle = pi * r ^ 2
comment area of sector
set ASector = ACircle * theta / 2 * pi
co... | def circ_seg(x1, y1, x2, y2, r):
x = euclidean(x1,y1,x2,y2) / 2
y = np.sqrt(r**2 - x**2)
ATriangles = x*y
theta = 2*(np.arcsin(x/r)) #angle of sector (radians)
ACircle = np.pi*(r**2) #area of whole circle
ASector = ACircle * (theta/(2*np.pi)) #area of sector
A = ASector - ATriangles #fin... | Python | nomic_cornstack_python_v1 |
function save_buffer self
begin
print string Saving replay buffer ...
set start = last_saved_at % maxlen
set end = number_of_samples_seen % maxlen
if start >= end
begin
set start = start - end
set end = maxlen
end
set data = buf at slice start : end :
set data_list_of_tuples = map tuple call tolist
call executemany st... | def save_buffer(self):
print("\nSaving replay buffer ...")
start = self.last_saved_at % self.maxlen
end = self.number_of_samples_seen % self.maxlen
if start >= end:
start = start - end
end = self.maxlen
data = self.buf[start:end]
data_list_of_tuple... | Python | nomic_cornstack_python_v1 |
function perform_search search_operator return_type=ENTRY request_options=none return_with_scores=false return_raw_json_dict=false verbosity=true
begin
return call perform_search_with_graph query_object=search_operator return_type=return_type request_options=request_options return_with_scores=return_with_scores return_... | def perform_search(
search_operator: SearchOperator,
return_type: ReturnType = ReturnType.ENTRY,
request_options: Optional[RequestOptions] = None,
return_with_scores: bool = False,
return_raw_json_dict: bool = False,
verbosity: bool = True,
) -> Union[List[str], List[ScoredResult], RawJSONDictRe... | Python | nomic_cornstack_python_v1 |
string PROJET L3 INFO 20-21 Vincent + Francesco Bataille navale
string PARTIE 1
import numpy as np
import matplotlib.pyplot as plt
import random as r
comment nomBateau(id)=taille
comment porteAvion(1)=5
comment croiseur(2)=4
comment contreTorpilleur(3)=3
comment sousMarin(4)=3
comment torpilleur(5)=2
set grille = zeros... | """
PROJET L3 INFO 20-21
Vincent + Francesco
Bataille navale
"""
"""
PARTIE 1
"""
import numpy as np
import matplotlib.pyplot as plt
import random as r
# nomBateau(id)=taille
# porteAvion(1)=5
# croiseur(2)=4
# contreTorpilleur(3)=3
# sousMarin(4)=3
# torpilleur(5)=2
grille=np.zeros((1... | Python | zaydzuhri_stack_edu_python |
string Handles data objects
from mechanalyzer import par
set THY_PROPS = list PROGRAM METHOD BASIS ORB_RESTRICT
comment Constructors
function from_data program method basis orb_restrict
begin
string thy info data structure from necessary data
comment assert to put in a data for a real species
return tuple program metho... | """
Handles data objects
"""
from mechanalyzer import par
THY_PROPS = [
par.THY.PROGRAM,
par.THY.METHOD,
par.THY.BASIS,
par.THY.ORB_RESTRICT
]
# Constructors
def from_data(program, method, basis, orb_restrict):
""" thy info data structure from necessary data
"""
# assert to put in a ... | Python | zaydzuhri_stack_edu_python |
function _get_source_sum source_hash file_path saltenv
begin
string Extract the hash sum, whether it is in a remote hash file, or just a string.
set ret = dictionary
set schemes = tuple string salt string http string https string ftp string swift string s3 string file
set invalid_hash_msg = format string Source hash '{... | def _get_source_sum(source_hash, file_path, saltenv):
'''
Extract the hash sum, whether it is in a remote hash file, or just a string.
'''
ret = dict()
schemes = ('salt', 'http', 'https', 'ftp', 'swift', 's3', 'file')
invalid_hash_msg = ("Source hash '{0}' format is invalid. It must be in "
... | Python | jtatman_500k |
comment This is module for file 45 and 46
comment ============== FOR FILE 45 ==============
function add a b
begin
return a + b
end function
function sub a b
begin
return a - b
end function
function mul a b
begin
return a * b
end function
function div a b
begin
return a / b
end function
comment ============== FOR FILE ... | # This is module for file 45 and 46
# ============== FOR FILE 45 ==============
def add(a,b):
return a+b
def sub(a,b):
return a-b
def mul(a,b):
return a*b
def div(a,b):
return a/b
# ============== FOR FILE 46 ==============
def myFunction():
print('the value of __name__ is' + __name__)
if... | Python | zaydzuhri_stack_edu_python |
function input_fn params
begin
set batch_size = params at string batch_size
set output_buffer_size = batch_size * 1000
function extract_fn data_record
begin
set features = dict string query_ids call FixedLenSequenceFeature list int64 allow_missing=true ; string doc_ids call FixedLenSequenceFeature list int64 allow_mi... | def input_fn(params):
batch_size = params["batch_size"]
output_buffer_size = batch_size * 1000
def extract_fn(data_record):
features = {
"query_ids": tf.FixedLenSequenceFeature(
[], tf.int64, allow_missing=True),
"doc_ids": tf.FixedLenSequenceFeature(
... | Python | nomic_cornstack_python_v1 |
function test_new_board
begin
set rows = 8
set cols = 8
set board = call Board id=string uuid 4 rows=rows cols=cols
for row in slots
begin
for slot in row
begin
assert available is true
assert mine is false
end
end
end function | def test_new_board():
rows = cols = 8
board = Board(id=str(uuid4()), rows=rows, cols=cols)
for row in board.slots:
for slot in row:
assert slot.available is True
assert slot.mine is False | Python | nomic_cornstack_python_v1 |
import itertools
import numpy as np
from collections import defaultdict
class Learner extends object
begin
set grid_mesh_count = 5
set epsilon = 0.0001
function __init__ self simulator alpha gamma exploration_param decay_param local_approx=false
begin
string Learns a policy using Sarsa-Lambda given a State instance. Pa... | import itertools
import numpy as np
from collections import defaultdict
class Learner(object):
grid_mesh_count = 5
epsilon = 1e-4
def __init__(self, simulator, alpha, gamma, exploration_param, decay_param,
local_approx=False):
""" Learns a policy using Sarsa-Lambda given a State instance.
... | Python | zaydzuhri_stack_edu_python |
function setImage self *args **kwargs
begin
call setImage *args keyword kwargs
call disableAutoRange axis=0
call enableAutoRange axis=1
end function | def setImage(self, *args, **kwargs):
super().setImage(*args, **kwargs)
self.view.disableAutoRange(axis = 0)
self.view.enableAutoRange(axis = 1) | Python | nomic_cornstack_python_v1 |
function get_formatted_name city country population=string
begin
if population
begin
set full_message = city + string + country + string + string population
end
else
begin
set gull_message = city + string + country
end
return title full_message
end function | def get_formatted_name(city,country,population=''):
if population:
full_message=city+' '+country+' '+str(population)
else:
gull_message=city+' '+country
return full_message.title()
| Python | zaydzuhri_stack_edu_python |
function interwiki_removals cls
begin
return call frozenset removed_wikis + closed_wikis
end function | def interwiki_removals(cls) -> FrozenSet[str]:
return frozenset(cls.removed_wikis + cls.closed_wikis) | Python | nomic_cornstack_python_v1 |
function create_backup self
begin
return _create_backup
end function | def create_backup(self):
return self._create_backup | Python | nomic_cornstack_python_v1 |
function UserMessage self
begin
return _usermessage
end function | def UserMessage(self):
return self._usermessage | Python | nomic_cornstack_python_v1 |
function user_dict self
begin
return dict string user_id user_id ; string firstname firstname ; string lastname lastname ; string othernames othernames ; string username username ; string email email ; string phonenumber phonenumber ; string is_admin is_admin ; string password password ; string registered_on registered... | def user_dict(self):
return {
"user_id": self.user_id,
"firstname": self.firstname,
"lastname": self.lastname,
"othernames": self.othernames,
"username": self.username,
"email": self.email,
"phonenumber": self.phonenumber,
... | Python | nomic_cornstack_python_v1 |
function duration_seconds_sum self duration_seconds_sum
begin
set _duration_seconds_sum = duration_seconds_sum
end function | def duration_seconds_sum(self, duration_seconds_sum):
self._duration_seconds_sum = duration_seconds_sum | Python | nomic_cornstack_python_v1 |
comment %%
set idx = 0
set visited = set
set count = 0
set flag = false
for i in range n
begin
set next_idx = A at idx
set next_idx = next_idx - 1
add visited idx
if idx == 1
begin
set flag = true
break
end
else
if next_idx in visited
begin
break
end
set count = count + 1
set idx = next_idx
end
if flag
begin
print coun... | #%%
idx = 0
visited = set()
count = 0
flag = False
for i in range(n):
next_idx = A[idx]
next_idx -= 1
visited.add(idx)
if idx == 1:
flag = True
break
elif next_idx in visited:
break
count += 1
idx = next_idx
if flag:
print(count)
else:
print(-1)
| Python | zaydzuhri_stack_edu_python |
function save_intermediate_results self
begin
set is_intermediate_results_saves = true
end function | def save_intermediate_results(self):
self._technical_vision_system.is_intermediate_results_saves = True | Python | nomic_cornstack_python_v1 |
function auth_login request user
begin
set ri = call rest_interface opensso_url=OPEN_AM_SERVER_URL
set token_logged_in = call do_login get REQUEST string username get REQUEST string password
if call isErrorable token_logged_in
begin
if call has_key OPENAM_COOKIE_NAME_FOR_TOKEN
begin
del COOKIES at OPENAM_COOKIE_NAME_FO... | def auth_login(request, user):
ri = rest_interface(opensso_url=OPEN_AM_SERVER_URL)
token_logged_in = ri.do_login(request.REQUEST.get('username'),request.REQUEST.get('password'))
if (ri.isErrorable(token_logged_in)):
if request.COOKIES.has_key(OPENAM_COOKIE_NAME_FOR_TOKEN):
del request... | Python | nomic_cornstack_python_v1 |
comment Example 1
function first_and_last message
begin
if message == string
begin
return true
end
else
if message at 0 == message at length message - 1
begin
return true
end
return false
end function
print call first_and_last string else
print call first_and_last string tree
print call first_and_last string
comment E... | # Example 1
def first_and_last(message):
if(message == ""):
return True
elif(message[0] == message[len(message) - 1]):
return True
return False
print(first_and_last("else"))
print(first_and_last("tree"))
print(first_and_last(""))
# Example 2
str = "Ada adad"
print(str[len(str) - 1])
# Exa... | Python | zaydzuhri_stack_edu_python |
function plot_waveforms self sorting=string compwise_loss tmin=0 class_names=none
begin
if not has attribute self string lat_tcs
begin
call compute_patterns dataset
end
if not has attribute self string uorder
begin
set tuple order _ = call _sorting sorting
set uorder = call ravel
end
comment self.uorder = np.squeeze(or... | def plot_waveforms(self, sorting='compwise_loss', tmin=0, class_names=None):
if not hasattr(self, 'lat_tcs'):
self.compute_patterns(self.dataset)
if not hasattr(self, 'uorder'):
order, _ = self._sorting(sorting)
self.uorder = order.ravel()
#self.uorder = ... | Python | nomic_cornstack_python_v1 |
from my_opengl import *
function draw_line start_axis end_axis step fix horientation
begin
if horientation == string h
begin
while start_axis < end_axis
begin
set start_axis = start_axis + step
call glVertex start_axis fix
end
end
else
begin
while start_axis < end_axis
begin
set start_axis = start_axis + step
call glVe... | from my_opengl import *
def draw_line(start_axis, end_axis, step, fix, horientation):
if horientation == "h":
while start_axis < end_axis:
start_axis = start_axis + step
glVertex(start_axis, fix)
else:
while start_axis < end_axis:
start_axis = start_axis + st... | Python | zaydzuhri_stack_edu_python |
function forward self x
begin
with call variable_scope string discriminator as scope
begin
comment Reuse variables when graph is applied again
if graph_created
begin
call reuse_variables
end
set graph_created = true
comment Image dimensions are fixed to the training size because of the FC layer
call set_shape list none... | def forward(self, x):
with tf.variable_scope('discriminator') as scope:
# Reuse variables when graph is applied again
if self.graph_created:
scope.reuse_variables()
self.graph_created = True
# Image dimensions are fixed to the training size becaus... | Python | nomic_cornstack_python_v1 |
function create_lb_policy self lb_name policy_name policy_type policy_attributes
begin
set params = dict string LoadBalancerName lb_name ; string PolicyName policy_name ; string PolicyTypeName policy_type
for tuple index tuple name value in enumerate call iteritems policy_attributes 1
begin
set params at string PolicyA... | def create_lb_policy(self, lb_name, policy_name, policy_type,
policy_attributes):
params = {'LoadBalancerName': lb_name,
'PolicyName': policy_name,
'PolicyTypeName': policy_type}
for index, (name, value) in enumerate(six.iteritems(policy_attri... | Python | nomic_cornstack_python_v1 |
function make_2d_array_fill dim1 dim2 init_fun
begin
set result = list
for i in range dim1
begin
set result = result + list call make_vector_fill dim2 lambda j -> call init_fun i j
end
return result
end function | def make_2d_array_fill(dim1, dim2, init_fun):
result = []
for i in range(dim1):
result = result + [make_vector_fill(dim2, lambda j: init_fun(i, j))]
return result | Python | nomic_cornstack_python_v1 |
function parse_stdout self filelike
begin
string Parse the formulae from the content written by the script to standard out. :param filelike: filelike object of stdout :returns: an exit code in case of an error, None otherwise
from aiida.orm import Dict
set formulae = dict
set content = strip read filelike
if not conte... | def parse_stdout(self, filelike):
"""Parse the formulae from the content written by the script to standard out.
:param filelike: filelike object of stdout
:returns: an exit code in case of an error, None otherwise
"""
from aiida.orm import Dict
formulae = {}
con... | Python | jtatman_500k |
import numpy as np
from sklearn.datasets import fetch_lfw_people
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from sklearn.svm import SVC
from sklearn.metrics import accuracy_score
set lfw_people = call fetch_lfw_people min_faces_per_person=70 resize=0.4
print target_names
set X ... | import numpy as np
from sklearn.datasets import fetch_lfw_people
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from sklearn.svm import SVC
from sklearn.metrics import accuracy_score
lfw_people = fetch_lfw_people(min_faces_per_person=70, resize=0.4)
print(lfw_people.target_names)
... | Python | zaydzuhri_stack_edu_python |
function on key
begin
global keys esc_count REPEAT_NUMBER csv_name
comment caps, shift, etc. aren't automatically registered as strings
if type key == Key
begin
append keys at esc_count tuple string key performance counter string pressed
end
else
begin
append keys at esc_count tuple key performance counter string press... | def on(key):
global keys, esc_count, REPEAT_NUMBER, csv_name
# caps, shift, etc. aren't automatically registered as strings
if type(key) == Key:
keys[esc_count].append((str(key), time.perf_counter(), "pressed"))
else:
keys[esc_count].append((key, time.perf_counter(), "pressed"))
i... | Python | nomic_cornstack_python_v1 |
function SetAutodetectLCD lcd
begin
set DeviceList at string spi_lcd = lcd
set DeviceList at string i2c_lcd = lcd
end function | def SetAutodetectLCD(lcd):
SPI.DeviceList["spi_lcd"]= lcd
I2C.DeviceList["i2c_lcd"]= lcd | Python | nomic_cornstack_python_v1 |
function search_ontology request ontology_name term_query
begin
set tuple logger user upload_folder process_folder = call get_user_and_folders_plus_logger request
info string Searching ontology %s for term: %s tuple ontology_name term_query
set response_code = 200
set response = dict
set index_dir = join path INDEX_BA... | def search_ontology(request, ontology_name, term_query):
logger, user, upload_folder, process_folder = get_user_and_folders_plus_logger(request)
logger.info("Searching ontology %s for term: %s", (ontology_name, term_query))
response_code = 200
response = {}
index_dir = os.path.join(settings.INDEX_... | Python | nomic_cornstack_python_v1 |
function get_field self field_db_name
begin
for field in fields
begin
if db_name == field_db_name
begin
return field
end
end
return none
end function | def get_field(self, field_db_name):
for field in self.fields:
if field.db_name == field_db_name:
return field
return None | Python | nomic_cornstack_python_v1 |
function _convert_base value
begin
if is instance value int
begin
return call _encode_int value
end
else
if is instance value bytes
begin
return call _encode_string value
end
else
begin
raise call ValueError format string Value must be str or int but {} was passed string type value
end
end function | def _convert_base(value):
if isinstance(value, int):
return Encoder._encode_int(value)
elif isinstance(value, bytes):
return Encoder._encode_string(value)
else:
raise ValueError("Value must be str or int but {} was passed".format(str(type(value)))) | Python | nomic_cornstack_python_v1 |
from human_player import HumanPlayer
function test_set_symbol
begin
set human = call HumanPlayer symbol=string -
call set_symbol string X
set actual = symbol
set expected = string X
assert actual == expected msg string set symbol should set the symbol
end function | from human_player import HumanPlayer
def test_set_symbol():
human = HumanPlayer(symbol='-')
human.set_symbol('X')
actual = human.symbol
expected = 'X'
assert actual == expected, "set symbol should set the symbol" | Python | zaydzuhri_stack_edu_python |
comment Quiz) 당신은 Cocoa 서비스를 이용하는 택시기사
comment 50명의 승객과 매칭 기회가 있을 때, 총 탑승 승객 수를 구하는 프로그램
comment 조건1 : 승객별 운행 소요 시간은 5분~50분 사이의 난수
comment 조건2 : 당신은 소요 시간 5분 ~15분 사이의 승객만 매칭
comment (출력문 예제)
comment [0] 1번째 손님 (소요시간 : 15분)
comment [ ] 2번째 손님 (소요시간 : 50분)
comment [0] 3번째 손님 (소요시간 : 5분)
comment ...
comment [ ] 50번째 손님 (소... | # Quiz) 당신은 Cocoa 서비스를 이용하는 택시기사
# 50명의 승객과 매칭 기회가 있을 때, 총 탑승 승객 수를 구하는 프로그램
# 조건1 : 승객별 운행 소요 시간은 5분~50분 사이의 난수
# 조건2 : 당신은 소요 시간 5분 ~15분 사이의 승객만 매칭
# (출력문 예제)
# [0] 1번째 손님 (소요시간 : 15분)
# [ ] 2번째 손님 (소요시간 : 50분)
# [0] 3번째 손님 (소요시간 : 5분)
# ...
# [ ] 50번째 손님 (소요시간 :16분)
# 총 탑승 승객 : 2 분
#----------------... | Python | zaydzuhri_stack_edu_python |
function Deserializer object_list **options
begin
set db = pop options string database DEFAULT_DB_ALIAS
set ignore = pop options string ignorenonexistent false
set val_names_cache = dict
set model_name = get options string model
if is instance model_name str
begin
set Model = apps at model_name
end
else
begin
set Mode... | def Deserializer(object_list, **options):
db = options.pop('database', DEFAULT_DB_ALIAS)
ignore = options.pop('ignorenonexistent', False)
val_names_cache = {}
model_name = options.get('model')
if isinstance(model_name, str):
Model = apps[model_name]
else:
Model = model_name
O... | Python | nomic_cornstack_python_v1 |
string Given a collection of intervals, merge all overlapping intervals. Example 1: Input: [[1,3],[2,6],[8,10],[15,18]] Output: [[1,6],[8,10],[15,18]] Explanation: Since intervals [1,3] and [2,6] overlaps, merge them into [1,6]. Example 2: Input: [[1,4],[4,5]] Output: [[1,5]] Explanation: Intervals [1,4] and [4,5] are ... | """
Given a collection of intervals, merge all overlapping intervals.
Example 1:
Input: [[1,3],[2,6],[8,10],[15,18]]
Output: [[1,6],[8,10],[15,18]]
Explanation: Since intervals [1,3] and [2,6] overlaps, merge them into [1,6].
Example 2:
Input: [[1,4],[4,5]]
Output: [[1,5]]
Explanation: Intervals [1,4] and [4,5] are... | Python | zaydzuhri_stack_edu_python |
string Flask Documentation: http://flask.pocoo.org/docs/ Jinja2 Documentation: http://jinja.pocoo.org/2/documentation/ Werkzeug Documentation: http://werkzeug.pocoo.org/documentation/ This file creates your application.
from app import app
from flask import render_template , request , redirect , url_for , jsonify
from ... | """
Flask Documentation: http://flask.pocoo.org/docs/
Jinja2 Documentation: http://jinja.pocoo.org/2/documentation/
Werkzeug Documentation: http://werkzeug.pocoo.org/documentation/
This file creates your application.
"""
from app import app
from flask import render_template, request, redirect, url_for, jsonify... | Python | zaydzuhri_stack_edu_python |
function convert_to_rgb img
begin
string Convert an image to RGB if it isn't already RGB or grayscale
if mode == string CMYK and HAS_PROFILE_TO_PROFILE
begin
set profile_dir = join path directory name path __file__ string profiles
set input_profile = join path profile_dir string USWebUncoated.icc
set output_profile = j... | def convert_to_rgb(img):
"""
Convert an image to RGB if it isn't already RGB or grayscale
"""
if img.mode == 'CMYK' and HAS_PROFILE_TO_PROFILE:
profile_dir = os.path.join(os.path.dirname(__file__), 'profiles')
input_profile = os.path.join(profile_dir, "USWebUncoated.icc")
output_... | Python | jtatman_500k |
comment -------------------------------------------------------------------------------
comment Base class for all door sensors
import iofun
import message
from device import Device
from querier import Querier
from querier import MsgHandler
from dbbuilder import GenericDBBuilder
from linkdb import LightDBRecordFormatte... | #-------------------------------------------------------------------------------
#
# Base class for all door sensors
#
import iofun
import message
from device import Device
from querier import Querier
from querier import MsgHandler
from dbbuilder import GenericDBBuilder
from linkdb import LightDBRecordFormatter
from us... | Python | jtatman_500k |
from reading import *
from database import *
comment Below, write:
comment *The cartesian_product function
comment *All other functions and helper functions
comment *Main code that obtains queries from the keyboard,
comment processes them, and uses the below function to output csv results
comment Below are the indexes ... | from reading import *
from database import *
# Below, write:
# *The cartesian_product function
# *All other functions and helper functions
# *Main code that obtains queries from the keyboard,
# processes them, and uses the below function to output csv results
# Below are the indexes which each token of the qu... | Python | zaydzuhri_stack_edu_python |
function build_minimum_request_body
begin
return dict string intent string AUTHORIZE ; string application_context dict string return_url string https://www.example.com ; string cancel_url string https://www.example.com ; string purchase_units list dict string amount dict string currency_code string USD ; string value s... | def build_minimum_request_body():
return \
{
"intent": "AUTHORIZE",
"application_context": {
"return_url": "https://www.example.com",
"cancel_url": "https://www.example.com"
},
"purchase_units": [... | Python | nomic_cornstack_python_v1 |
function download_arcrest
begin
string downloads arcrest to disk
set arcrest_name = string arcrest.zip
set arcresthelper_name = string arcresthelper.zip
set url = string https://github.com/Esri/ArcREST/archive/master.zip
set file_name = join path scratchFolder base name path url
set scratch_folder = join path scratchFo... | def download_arcrest():
"""downloads arcrest to disk"""
arcrest_name = "arcrest.zip"
arcresthelper_name = "arcresthelper.zip"
url = "https://github.com/Esri/ArcREST/archive/master.zip"
file_name = os.path.join(arcpy.env.scratchFolder, os.path.basename(url))
scratch_folder = os.path.join(arcpy.e... | Python | jtatman_500k |
function ordering self
begin
set aliases = dict
for bound_column in columns
begin
set aliases at order_by_alias = order_by
end
try
begin
return next call segment order_by aliases
end
except StopIteration
begin
pass
end
end function | def ordering(self):
aliases = {}
for bound_column in self.table.columns:
aliases[bound_column.order_by_alias] = bound_column.order_by
try:
return next(segment(self.data.query.order_by, aliases))
except StopIteration:
pass | Python | nomic_cornstack_python_v1 |
function _init_services self
begin
pass
end function | def _init_services(self) -> None:
pass | Python | nomic_cornstack_python_v1 |
function change_punc df cols_to_change
begin
for col in cols_to_change
begin
if dtype == string object
begin
set df at col = apply df at col lambda x -> decimal replace x string , string
end
end
return df
end function | def change_punc(df, cols_to_change):
for col in cols_to_change:
if df[col].dtype == "object":
df[col] = df[col].apply(lambda x: float(x.replace(",", "")))
return df | Python | nomic_cornstack_python_v1 |
from tweet_analysis.analysis import *
from tweet_text2.sentiment_analysis import *
import seaborn as sns
import matplotlib.pyplot as plt
function tweet_polarity
begin
string :return: the graphs of the percentage of positive, negative and neutral tweets
set style=string white context=string talk
set tuple f ax1 = call s... | from tweet_analysis.analysis import *
from tweet_text2.sentiment_analysis import *
import seaborn as sns
import matplotlib.pyplot as plt
def tweet_polarity():
'''
:return: the graphs of the percentage of positive, negative and neutral tweets
'''
sns.set(style="white", context="talk")
f, (ax1) = plt... | Python | zaydzuhri_stack_edu_python |
function score_choice
begin
set score_choice_input = call raw_input string How would you like to score this turn?
set score_choice_input_lower = lower score_choice_input
set scoring_option_words = list string ones string twos string threes string fours string fives string sixes string 3 of a kind string three of a kind... | def score_choice():
score_choice_input = raw_input("How would you like to score this turn? ")
score_choice_input_lower = score_choice_input.lower()
scoring_option_words = ['ones','twos','threes','fours','fives','sixes',
'3 of a kind','three of a kind','4 of a kind','four of a kind','full house','small straight... | Python | zaydzuhri_stack_edu_python |
comment coding=utf-8
set M = 8
import math
from Table import Luminance_Quantization_Matrix , Chroma_Quantization_Matrix
function Luminance_Quantization matrix M
begin
set temp = list
for i in range 0 M * M
begin
append temp integer round 1.0 * matrix at i / Luminance_Quantization_Matrix at i
end
return temp
end functi... | # coding=utf-8
M = 8
import math
from .Table import Luminance_Quantization_Matrix, Chroma_Quantization_Matrix
def Luminance_Quantization(matrix, M):
temp = []
for i in range(0, M*M):
temp.append(int(round(1.0 * matrix[i] / Luminance_Quantization_Matrix[i])))
return temp
def De_Luminance_Quantiza... | Python | zaydzuhri_stack_edu_python |
with open string input.txt string r as f
begin
set x = list eval read line f
end
print string Lista initiala= x
set y = sorted x
print string ord . crescator= y
set i = sorted x reverse=true
print string ord. descresctor= i
print string lungimea listei= length x
print string MAX listei= max x
print string MIN listei= m... | with open ('input.txt','r') as f:
x=list(eval(f.readline()))
print('Lista initiala=',x)
y=sorted(x)
print('ord . crescator=',y)
i=sorted(x,reverse=True)
print('ord. descresctor=',i)
print('lungimea listei=',len(x))
print('MAX listei=',max(x))
print('MIN listei=',min(x))
print('lista.4=',x+[111])
x.inser... | Python | zaydzuhri_stack_edu_python |
function remove_from_feed self fg
begin
if _feed_entry is not none
begin
call remove_entry _feed_entry
set _feed_entry = none
end
else
begin
raise call RuntimeError string This episode is not yet added to any FeedGenerator
end
end function | def remove_from_feed(self, fg: FeedGenerator) -> None:
if self._feed_entry is not None:
fg.remove_entry(self._feed_entry)
self._feed_entry = None
else:
raise RuntimeError("This episode is not yet added to any FeedGenerator") | Python | nomic_cornstack_python_v1 |
function update self user data
begin
if user is none or is_active is false
begin
raise call ValueError string {"detail":" + string call _ string In order to perform this operation, your account must be active + string "}
end
set validator = call ProfileUserValidate data
if call validate is false
begin
set errors = call... | def update(self, user: accounts_models.User, data: dict)-> accounts_models.User:
if user is None or user.is_active is False:
raise ValueError('{"detail":"' +
str(_("In order to perform this operation, your account must be active")) + '"}')
validator = accounts_va... | Python | nomic_cornstack_python_v1 |
string Skills 2: oo.py Summary.
comment Design a Bicycle Class
class Bicycle
begin
string A bicycle.
end class
comment TODO: replace this with your code
comment Define a Method for Processing Password Changes
class User
begin
string A user who can log in to a website.
function __init__ self username password
begin
stri... | """Skills 2: oo.py
Summary.
"""
##
# Design a Bicycle Class
class Bicycle:
"""A bicycle."""
# TODO: replace this with your code
##
# Define a Method for Processing Password Changes
class User:
"""A user who can log in to a website."""
def __init__(self, username, password):
"""Create a... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment Program Name: HyperTyper #
comment Version: 2.4.0 #
comment Author: Ethan Hicks #
comment Published: 2/17/2016 #
try
begin
comment for Python2
import TKinter
from Tkinter import *
end
except ImportError
begin
comment for Python3
import tkinter
from tkinter import *
from tkinter imp... | #!/usr/bin/env python3
##################################
# Program Name: HyperTyper #
# Version: 2.4.0 #
# Author: Ethan Hicks #
# Published: 2/17/2016 #
##################################
try:
# for Python2
import TKinter
from Tkinter import *
except ImportE... | Python | zaydzuhri_stack_edu_python |
class Food extends object
begin
function __init__ self name food_type heal
begin
set __name = name
set __food_type = food_type
set __heal = heal
end function
function get_name self
begin
return __name
end function
function get_food_type self
begin
return __food_type
end function
function get_heal_value self
begin
retur... | class Food(object):
def __init__(self, name: str, food_type: str, heal: int):
self.__name = name
self.__food_type = food_type
self.__heal = heal
def get_name(self):
return self.__name
def get_food_type(self):
return self.__food_type
def get_heal_value(self):
... | Python | zaydzuhri_stack_edu_python |
function OnPressEnter self event
begin
set get entryUserVariable + string You pressed Enter!
call focus_set
call selection_range 0 END
end function | def OnPressEnter(self, event):
self.labelVariable2.set(self.entryUserVariable.get() + " You pressed Enter!")
self.Entry1.focus_set()
self.Entry1.selection_range(0, Tkinter.END) | Python | nomic_cornstack_python_v1 |
function addition num1 num2
begin
set num1 = num1 + num2
return num1
end function
function subtraction num1 num2
begin
set num1 = num1 - num2
return num1
end function
function mul num1 num2
begin
set num1 = num1 * num2
return num1
end function
function division num1 num2
begin
set num1 = num1 / num2
return num1
end fun... | def addition(num1, num2):
num1 += num2
return num1
def subtraction(num1, num2):
num1 -= num2
return num1
def mul(num1, num2):
num1 *= num2
return num1
def division(num1, num2):
num1 /= num2
return num1
def module(num1, num2):
num1 %= num2
return num1
def default(num1, num2):
return... | Python | zaydzuhri_stack_edu_python |
function add4 a b
begin
return list a at 0 + b at 0 a at 1 + b at 1 a at 2 + b at 2 a at 3 + b at 3
end function | def add4(a,b):
return [a[0]+b[0],a[1]+b[1],a[2]+b[2],a[3]+b[3]] | Python | nomic_cornstack_python_v1 |
class Solution
begin
function removeDuplicates self nums
begin
if not nums
begin
return none
end
set tuple last next_ind = tuple nums at 0 1
for i in range 1 length nums
begin
if nums at i > last
begin
set last = nums at i
set tuple nums at next_ind nums at i = tuple nums at i nums at next_ind
set next_ind = next_ind +... | class Solution:
def removeDuplicates(self, nums: List[int]) -> List[int]:
if not nums:
return None
last, next_ind = nums[0], 1
for i in range(1, len(nums)):
if nums[i] > last:
last = nums[i]
nums[next_ind], nums[i] = nums[i], nums[next... | Python | zaydzuhri_stack_edu_python |
import sys
from game import Game
if length argv != 3
begin
print string Usage: python3 solver.py <filename> <mode>
exit
end
set filename = argv at 1
set mode = argv at 2
try
begin
set game_object = call Game filename
end
except FileNotFoundError as e
begin
print e
exit
end
call set_start_pos grid
function add_walk node... | import sys
from game import Game
if len(sys.argv) != 3:
print("Usage: python3 solver.py <filename> <mode>")
sys.exit()
filename = sys.argv[1]
mode = sys.argv[2]
try:
game_object = Game(filename)
except FileNotFoundError as e:
print(e)
sys.exit()
game_object.player.set_start_pos(game_object.grid)... | Python | zaydzuhri_stack_edu_python |
comment smtplib_verify.py
import smtplib
set server = call SMTP string mail
comment mostra la comunicazione con il server
call set_debuglevel true
try
begin
set dhellmann_result = call verify string dhellmann
set notthere_result = call verify string notthere
end
finally
begin
call quit
end
print string dhellmann: dhell... | # smtplib_verify.py
import smtplib
server = smtplib.SMTP('mail')
server.set_debuglevel(True) # mostra la comunicazione con il server
try:
dhellmann_result = server.verify('dhellmann')
notthere_result = server.verify('notthere')
finally:
server.quit()
print('dhellmann:', dhellmann_result)
print('notthere... | Python | zaydzuhri_stack_edu_python |
function get_vars
begin
return list string A:0 string A:1 string A:3 string U:0 string U:1 string Gradients A:0 string Gradients A:1 string Gradients A:3 string Gradients A:4 string Gradients A:9 string Gradients A:10 string Gradients U:0 string Gradients U:1 string Gradients U:3 string Gradients U:4
end function | def get_vars():
return [
"A:0",
"A:1",
"A:3",
"U:0",
"U:1",
"Gradients A:0",
"Gradients A:1",
"Gradients A:3",
"Gradients A:4",
"Gradients A:9",
"Gradients A:10",
"Gradients U:0",
"Gradients U:1",
"Gradie... | Python | nomic_cornstack_python_v1 |
function to_tensor image
begin
if ndim == 2
begin
print string The number image dimensions is 2!
return image at tuple newaxis Ellipsis newaxis
end
else
if ndim == 3
begin
print string The number of image dimensions is 3!
return call moveaxis image 2 0 at tuple Ellipsis newaxis
end
end function | def to_tensor(image):
if image.ndim == 2:
print('The number image dimensions is 2!')
return image[np.newaxis, ..., np.newaxis]
elif image.ndim == 3:
print('The number of image dimensions is 3!')
return np.moveaxis(image, 2, 0)[..., np.newaxis] | Python | nomic_cornstack_python_v1 |
string Module with tests related to `repositories_app.views`.
from unittest import mock , TestCase
from repositories_app.app import create_app
from repositories_app.exceptions import UserNotFoundServiceException , BadCredentialsServiceException , ApiRateLimitExceededServiceException , UnprocessableEntityServiceExceptio... | """
Module with tests related to `repositories_app.views`.
"""
from unittest import mock, TestCase
from repositories_app.app import create_app
from repositories_app.exceptions import (
UserNotFoundServiceException,
BadCredentialsServiceException,
ApiRateLimitExceededServiceException,
UnprocessableEnti... | Python | zaydzuhri_stack_edu_python |
function get_tips self
begin
try
begin
set res = call get_tips
end
except Exception as e
begin
warning string Failed to get tips e
set res = none
end
return res
end function | def get_tips(self) -> dict:
try:
res = self.iota_api.get_tips()
except Exception as e:
logging.warning("Failed to get tips", e)
res = None
return res | Python | nomic_cornstack_python_v1 |
class Difference
begin
function __init__ self a
begin
set __elements = a
end function
end class | class Difference:
def __init__(self, a):
self.__elements = a
| Python | zaydzuhri_stack_edu_python |
function tearDown self
begin
del ocb_key pysat_key notes lwarn lout
del added_keys pysat_keys test_inst ocb
del test_file log_capture cust_kwargs pysat_var2
del del_time pysat_lat
return
end function | def tearDown(self):
del self.ocb_key, self.pysat_key, self.notes, self.lwarn, self.lout
del self.added_keys, self.pysat_keys, self.test_inst, self.ocb
del self.test_file, self.log_capture, self.cust_kwargs, self.pysat_var2
del self.del_time, self.pysat_lat
return | Python | nomic_cornstack_python_v1 |
function home
begin
set locationList = all
return call render_template string index.html title=string Start Select locs=locationList year=year
end function | def home():
locationList = location.query.all()
return render_template(
'index.html',
title='Start Select',
locs = locationList,
year=datetime.now().year
) | Python | nomic_cornstack_python_v1 |
function min self
begin
return __min
end function | def min(self) -> float:
return self.__min | Python | nomic_cornstack_python_v1 |
comment Написать программу, доказывающую или проверяющую,
comment что для множества натуральных чисел выполняется равенство:
comment 1+2+...+n = n(n+1)/2, где n — любое натуральное число.
set n = integer input
set s = 0
for i in range 1 n + 1
begin
set s = s + i
end
set m = n * n + 1 // 2
print s
print m | #Написать программу, доказывающую или проверяющую,
#что для множества натуральных чисел выполняется равенство:
#1+2+...+n = n(n+1)/2, где n — любое натуральное число.
n = int(input())
s = 0
for i in range(1,n+1):
s += i
m = n * (n + 1) // 2
print(s)
print(m)
| Python | zaydzuhri_stack_edu_python |
function fromString cls string
begin
set parts = split re string \s*=\s* string
set name = strip parts at 0
if not parts at slice 1 : 2 :
begin
return call cls name none
end
return call cls name strip parts at 1
end function | def fromString(cls, string):
parts = re.split("\s*=\s*", string)
name = parts[0].strip()
if not parts[1:2]:
return cls(name, None)
return cls(name, parts[1].strip()) | Python | nomic_cornstack_python_v1 |
comment Chris Gala 64338761 and Eui Seon Chi 83682606. ICS 31 Lab 6 Sec 11, Lab asst 6
comment C1
print string -------------------C1------------------------
function contains string string2
begin
return string2 in string
end function
assert call contains string banana string ana == true
assert not call contains string ... | #Chris Gala 64338761 and Eui Seon Chi 83682606. ICS 31 Lab 6 Sec 11, Lab asst 6
#C1
print('-------------------C1------------------------')
def contains(string: str, string2: str) -> bool:
return string2 in string
assert contains('banana', 'ana') == True
assert not contains('racecar', 'ck') == True
#C2
... | Python | zaydzuhri_stack_edu_python |
set num1 = decimal input string Entre com o primeiro número:
set num2 = decimal input string Entre com o segundo número:
set total = num1 * num2
print string Resultado: total | num1 = float(input("Entre com o primeiro número:"))
num2 = float(input("Entre com o segundo número:"))
total = num1 * num2
print("Resultado: ",total)
| Python | zaydzuhri_stack_edu_python |
function load_from_file cls
begin
set fname = __name__ + string .json
try
begin
with open fname encoding=string utf8 as jfile
begin
set content = call from_json_string read jfile
end
end
except any
begin
return list
end
set instances = list
for instance in content
begin
set temp = call create keyword instance
append ... | def load_from_file(cls):
fname = cls.__name__ + ".json"
try:
with open(fname, encoding='utf8') as jfile:
content = cls.from_json_string(jfile.read())
except:
return []
instances = []
for instance in content:
temp = cls.create... | Python | nomic_cornstack_python_v1 |
for rounds in range 0 6 1
begin
set a = list
set xp_field = 0
set val_field = 0
set xp_disc = 0
set val_disc = 0
set xp_spec = 0
set val_spec = 0
set val = 0
set val_per_spec = 0
set xp = 0
set val_attrib = 0
if rounds < 3
begin
set num_disc = 1
set num_spec_disc_1 = rounds + 1
end
else
begin
set num_disc = 2
set num_... | for rounds in range (0, 6, 1):
a = []
xp_field = 0
val_field = 0
xp_disc = 0
val_disc = 0
xp_spec = 0
val_spec = 0
val = 0
val_per_spec = 0
xp = 0
val_attrib = 0
if (rounds<3):
num_disc = 1
num_spec_disc_1 = rounds + 1
else:
... | Python | zaydzuhri_stack_edu_python |
function GetMoves self x y
begin
set moves_x = list x
set moves_y = list y
set moves = list
if x != 0
begin
append moves_x x - 1
end
if x != M - 1
begin
append moves_x x + 1
end
if y != 0
begin
append moves_y y - 1
end
if y != N - 1
begin
append moves_y y + 1
end
for m_x in moves_x
begin
for m_y in moves_y
begin
appen... | def GetMoves(self, x : int, y : int):
moves_x = [x]
moves_y = [y]
moves = []
if x != 0:
moves_x.append(x - 1)
if x != self.M - 1:
moves_x.append(x + 1)
if y != 0:
moves_y.append(y - 1)
if y != self.N - 1:
moves_y.app... | Python | nomic_cornstack_python_v1 |
function masked_softmax vector mask dim=- 1 memory_efficient=false mask_fill_value=- 1e+32
begin
if mask is none
begin
set result = softmax vector dim=dim
end
else
begin
set mask = decimal
while dim mask < dim vector
begin
set mask = unsqueeze mask 1
end
if not memory_efficient
begin
comment To limit numerical errors f... | def masked_softmax(vector,
mask,
dim= -1,
memory_efficient= False,
mask_fill_value= -1e32):
if mask is None:
result = torch.nn.functional.softmax(vector, dim=dim)
else:
mask = mask.float()
while mask.dim() < vect... | Python | nomic_cornstack_python_v1 |
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