code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function register cls name
begin
function inner_wrapper wrapped_class
begin
if name in registry
begin
warning string Command %s already exists. name
end
set registry at name = wrapped_class
return wrapped_class
end function
return inner_wrapper
end function | def register(cls, name: str) -> Callable:
def inner_wrapper(wrapped_class: CommandBase) -> Callable:
if name in cls.registry:
logger.warning('Command %s already exists.', name)
cls.registry[name] = wrapped_class
return wrapped_class
return inner_wrap... | Python | nomic_cornstack_python_v1 |
import pandas
import pycountry
from pathlib import Path
from os.path import realpath
set base_path = parent
function get_aggregate_ghgs
begin
set df = read csv base_path / string data_csv / string CW_UNFCCC_GHG_Emissions.csv delimiter=string thousands=string ,
set df = df at country != string ANNEXI
set df = df at cou... | import pandas
import pycountry
from pathlib import Path
from os.path import realpath
base_path = Path(realpath(__file__)).parent
def get_aggregate_ghgs():
df = pandas.read_csv(
base_path / 'data_csv' / 'CW_UNFCCC_GHG_Emissions.csv',
delimiter='\t', thousands=","
)
df = df[df.country != 'A... | Python | zaydzuhri_stack_edu_python |
function test_drawWire self
begin
set image_name = call filename co_name
set tuple result_file reference_file = call get_path image_name
string This function is to create an empty image with a specific dimension with white background, and black/white colored
set tuple image canvas = call get_image string L tuple 640 48... | def test_drawWire(self):
image_name = filename(sys._getframe().f_code.co_name)
result_file, reference_file = get_path(image_name)
''' This function is to create an empty image with a specific dimension
with white background, and black/white colored '''
image, canvas = get_... | Python | nomic_cornstack_python_v1 |
function put_drawing_fbx_async self request
begin
set HttpRequest = call to_http_info configuration
return call __make_request_async HttpRequest string PUT string file
end function | def put_drawing_fbx_async(self, request):
HttpRequest = request.to_http_info(self.api_client.configuration)
return self.__make_request_async(HttpRequest, 'PUT', 'file') | Python | nomic_cornstack_python_v1 |
import urllib.request
from os import path , makedirs , listdir , rename
from shutil import rmtree , move
from glob import glob
from files_processing import natural_key , unzip_file , copy_images , copy_labels , move_files , unzip_files , untar_file , ungz_files
from image_processing import generate_fov_masks
function o... | import urllib.request
from os import path, makedirs, listdir, rename
from shutil import rmtree, move
from glob import glob
from .files_processing import natural_key, unzip_file, copy_images, copy_labels, move_files, unzip_files, untar_file, ungz_files
from .image_processing import generate_fov_masks
def organize_chas... | Python | zaydzuhri_stack_edu_python |
function CounterReset self argin
begin
comment PROTECTED REGION ID(Counter.CounterReset) ENABLED START #
set _value = argin
if _value == _fire_event_at
begin
call push_change_event string value _value
end
return _value
end function
comment PROTECTED REGION END # // Counter.CounterReset | def CounterReset(self, argin):
# PROTECTED REGION ID(Counter.CounterReset) ENABLED START #
self._value = argin
if self._value == self._fire_event_at:
self.push_change_event("value", self._value)
return self._value
# PROTECTED REGION END # // Counter.CounterReset | Python | nomic_cornstack_python_v1 |
function find_subsets s
begin
set subsets = list
for i in range length s + 1
begin
for subset in call combinations s i
begin
append subsets subset
end
end
return subsets
end function
set s = set literal 1 2 3
set result = call find_subsets s
print result | def find_subsets(s):
subsets = []
for i in range(len(s)+1):
for subset in itertools.combinations(s, i):
subsets.append(subset)
return subsets
s = {1,2,3}
result = find_subsets(s)
print(result)
| Python | flytech_python_25k |
import math
import sys
import pygame
from pygame.locals import QUIT , MOUSEBUTTONUP
import numpy as np
import time
set xmax = 300
set ymax = 200
set start_x = integer input string Enter x coordinate of start position:
set start_y = integer input string Enter y coordinate of start position:
set goal_x = integer input st... | import math
import sys
import pygame
from pygame.locals import QUIT, MOUSEBUTTONUP
import numpy as np
import time
xmax = 300
ymax = 200
start_x = int(input("Enter x coordinate of start position: "))
start_y = int(input("Enter y coordinate of start position: "))
goal_x = int(input("Enter x coordinate of go... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: UTF-8 -*-
string Created on 2014/3/22 @author: rogers
from __future__ import print_function
from sklearn import datasets
from sklearn.cross_validation import train_test_split
from sklearn.grid_search import GridSearchCV
from sklearn.metrics import classification_report
from sklearn.svm import SVC
im... | # -*- coding: UTF-8 -*-
'''
Created on 2014/3/22
@author: rogers
'''
from __future__ import print_function
from sklearn import datasets
from sklearn.cross_validation import train_test_split
from sklearn.grid_search import GridSearchCV
from sklearn.metrics import classification_report
from sklearn.svm impo... | Python | zaydzuhri_stack_edu_python |
function use_neutron_distances_in_model_in_place model
begin
set params = call get_current_pdb_interpretation_params
set use_neutron_distances = true
set log = call null_out
process make_restraints=true pdb_interpretation_params=params
call set_hydrogen_bond_length show=false
end function | def use_neutron_distances_in_model_in_place(model):
params = model.get_current_pdb_interpretation_params()
params.pdb_interpretation.use_neutron_distances = True
model.log=null_out()
model.process(make_restraints = True,
pdb_interpretation_params = params)
model.set_hydrogen_bond_len... | Python | nomic_cornstack_python_v1 |
with open string outcome.csv string r as f
begin
set lines = read lines f
set s = set
for line in lines
begin
add s line
end
with open string clean.csv string w as g
begin
for item in sorted s
begin
write g item
end
end
end | with open('outcome.csv', 'r') as f:
lines = f.readlines()
s = set()
for line in lines:
s.add(line)
with open('clean.csv', 'w') as g:
for item in sorted(s):
g.write(item)
| Python | zaydzuhri_stack_edu_python |
function setUp self
begin
set obj = dict string foo string bar
end function | def setUp(self):
self.obj = {"foo": "bar"} | Python | nomic_cornstack_python_v1 |
function test_templates_program_detail_meta_description_empty_program_excerpt self
begin
set program = call ProgramFactory
set page = extended_object
call publish string en
set url = call get_absolute_url
set response = get client url
assert equal status_code 200
call assertNotContains response string og:description
en... | def test_templates_program_detail_meta_description_empty_program_excerpt(self):
program = ProgramFactory()
page = program.extended_object
page.publish("en")
url = program.extended_object.get_absolute_url()
response = self.client.get(url)
self.assertEqual(response.status_... | Python | nomic_cornstack_python_v1 |
import subprocess
import time
import pymysql
while true
begin
comment Porta 3306 é padrão, caso a sua seja especifica, Altere
set conexao = call connect host=string seu host aqui db=string Nome do DB user=string Usuario passwd=string Senha port=3306
set i = 0
set count = 0
comment Numero de Repetições
for i in range 0 ... | import subprocess
import time
import pymysql
while (True):
conexao = pymysql.connect(host='seu host aqui', db='Nome do DB', user='Usuario', passwd='Senha', port=3306) #Porta 3306 é padrão, caso a sua seja especifica, Altere
i = 0
count = 0
for i in range(0, 10): #Numero de Repetições
cursor = c... | Python | zaydzuhri_stack_edu_python |
from collections import namedtuple
import ipaddr
from twisted.python import log
class Rule extends object
begin
function __init__ self conditions action
begin
set conditions = conditions
set action = action
end function
function _get_list self key
begin
set value = get conditions key list
if not is instance value list
... | from collections import namedtuple
import ipaddr
from twisted.python import log
class Rule(object):
def __init__(self, conditions, action):
self.conditions = conditions
self.action = action
def _get_list(self, key):
value = self.conditions.get(key, [])
if not isinstance(value... | Python | zaydzuhri_stack_edu_python |
function json2crf training_data
begin
from app.nlu.tasks import sentence_tokenize , pos_tag_and_label
set labeled_examples = list
for example in training_data
begin
comment POS tag and initialize bio label as 'O' for all the tokens
set tagged_example = call pos_tag_and_label get example string text
comment find no of ... | def json2crf(training_data):
from app.nlu.tasks import sentence_tokenize, pos_tag_and_label
labeled_examples = []
for example in training_data:
# POS tag and initialize bio label as 'O' for all the tokens
tagged_example = pos_tag_and_label(example.get("text"))
... | Python | nomic_cornstack_python_v1 |
function square number
begin
if number < 1 or number > 64
begin
raise call ValueError string It doesn't make sense to calculate the number of grains given on square { number } of a 64-square chessboard.
end
return 1 ? number - 1
end function
function total
begin
return 1 ? 64 - 1
end function | def square(number):
if number < 1 or number > 64:
raise ValueError(
f"It doesn't make sense to calculate the number of grains given on square {number} of a 64-square chessboard."
)
return 1 << (number - 1)
def total():
return (1 << 64) - 1
| Python | zaydzuhri_stack_edu_python |
function reloadBtnClick
begin
set t = thread target=reloadBtnAction
call setDaemon true
start t
end function | def reloadBtnClick():
t = threading.Thread(target=reloadBtnAction)
t.setDaemon(True)
t.start() | Python | nomic_cornstack_python_v1 |
string class Train: def __init__(self, destinations, expected_time): self.destinations = destinations self.expected_time = expected_time def get_expected_time(self): return self.expected_time def set_expected_time(self, expected_time): self.expected_time = expected_time def manage_delays(self, dest, delay): if de... | """
class Train:
def __init__(self, destinations, expected_time):
self.destinations = destinations
self.expected_time = expected_time
def get_expected_time(self):
return self.expected_time
def set_expected_time(self, expected_time):
self.expected_time = expected_time
... | Python | zaydzuhri_stack_edu_python |
from numpy import *
import numpy
from scipy.sparse import lil_matrix , csr_matrix
from scipy.io import loadmat
from data_config import *
comment import h5py
function generate_ratings_matrix data
begin
string Non sparse Matrix format: MAX_USER_ID x MAX_MOVIE_ID Return value: matrix
set ratings_file = open data at string... | from numpy import *
import numpy
from scipy.sparse import lil_matrix, csr_matrix
from scipy.io import loadmat
from data_config import *
# import h5py
def generate_ratings_matrix(data):
"""
Non sparse
Matrix format: MAX_USER_ID x MAX_MOVIE_ID
Return value: matrix
"""
ratings_file = open(data['ratings_new'], 'r')
... | Python | zaydzuhri_stack_edu_python |
comment @param inorder, a list of integers
comment @param postorder, a list of integers
comment @return a tree node
function subbuildTree self postorder inorder pbegin pend ibegin iend
begin
if pbegin - pend == 0
begin
return none
end
set val = postorder at pend - 1
set index = index inorder val
set lsize = index - ibe... | # @param inorder, a list of integers
# @param postorder, a list of integers
# @return a tree node
def subbuildTree(self, postorder, inorder,pbegin,pend,ibegin,iend):
if pbegin-pend==0:
return None
val = postorder[pend-1]
index = inorder.index(val)
lsize = index-ibegin
cnode = TreeNode(val)
... | Python | zaydzuhri_stack_edu_python |
function borealis_array_to_dmap_files filename borealis_filetype slice_id dmap_filename
begin
set borealis_converter = call BorealisConvert filename borealis_filetype dmap_filename slice_id borealis_file_structure=string array
comment overwrite to as generated
set dmap_filename = sdarn_filename
comment compress (and ad... | def borealis_array_to_dmap_files(filename, borealis_filetype, slice_id, dmap_filename):
borealis_converter = BorealisConvert(filename, borealis_filetype,
dmap_filename, slice_id, borealis_file_structure='array')
dmap_filename = borealis_converter.sdarn_filename # overwrite to as gen... | Python | nomic_cornstack_python_v1 |
function test_listSnapshot_as_rootadmin_rec_true self
begin
set apiKey = user_a_apikey
set securityKey = user_a_secretkey
set snapshotList = list apiclient isrecursive=string true
debug string List as ROOT Admin - isrecursive=true %s % snapshotList
assert equal length snapshotList == 1 true string Number of items in li... | def test_listSnapshot_as_rootadmin_rec_true(self):
self.apiclient.connection.apiKey = self.user_a_apikey
self.apiclient.connection.securityKey = self.user_a_secretkey
snapshotList = Snapshot.list(self.apiclient, isrecursive="true")
self.debug("List as ROOT Admin - isrecursive=true %s" %... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import sys
function load
begin
string load index, words and docs
set sIndex = string index.txt
set sWord = string words.txt
set sDoc = string doc.txt
set lIndex = list
comment load index
set fIndex = open sIndex string r
for line in read lines fIndex
begin
append lIndex list comprehension ... | #!/usr/bin/env python
import sys
def load():
'''
load index, words and docs
'''
sIndex = 'index.txt'
sWord = 'words.txt'
sDoc = 'doc.txt'
lIndex = []
#load index
fIndex = open(sIndex, 'r')
for line in fIndex.readlines():
lIndex.append( [int(i) for i in line.split()] )
fIndex.close()
#load words
lWord = ... | Python | zaydzuhri_stack_edu_python |
import torch
import torch.nn as nn
import torch.nn.functional as F
from NegativeSampling import *
class TextCNN_NegSamp extends Module
begin
string CNN text classification model, based on the paper.
function __init__ self config
begin
call __init__
set V = vocab_size
set E = embedding_dim
set Nf = num_filters
set Ks = ... | import torch
import torch.nn as nn
import torch.nn.functional as F
from NegativeSampling import *
class TextCNN_NegSamp(nn.Module):
"""
CNN text classification model, based on the paper.
"""
def __init__(self, config):
super(TextCNN_NegSamp, self).__init__()
V = config.vocab_size
... | Python | zaydzuhri_stack_edu_python |
function __init__ self file_path
begin
set file_path = call Path file_path
set fname = name
set d_stgs = call DisplaySettings
set c_stgs = call CalculationSettings
info string { self } create
end function | def __init__(self, file_path):
self.file_path = Path(file_path)
self.fname = self.file_path.name
self.d_stgs = settings.DisplaySettings()
self.c_stgs = settings.CalculationSettings()
logger.info(f'{self} create') | Python | nomic_cornstack_python_v1 |
function best_policy self agent_host
begin
call clear_inventory
set policy = list
set current_r = 0
set is_first_action = true
set next_a = string
comment while next_a != "end_action":
comment curr_state = self.get_curr_state()
comment possible_actions = self.get_possible_actions(agent_host, is_first_action)
comment ... | def best_policy(self, agent_host):
self.clear_inventory()
policy = []
current_r = 0
is_first_action = True
next_a = ""
# while next_a != "end_action":
# curr_state = self.get_curr_state()
# possible_actions = self.get_possible_actions(agent_host, i... | Python | nomic_cornstack_python_v1 |
function test_pipeline_simple_model x_dict_primary
begin
set fast_window = 10
set slow_window = 20
set maco = call MovingAverageCrossOverPredictor fast=fast_window slow=slow_window column_name=CLOSE fill_between_crossovers=true
set pipeline = call StrategySignalPipeline feature_transformers_primary_model=dict string pr... | def test_pipeline_simple_model(x_dict_primary):
fast_window = 10
slow_window = 20
maco = MovingAverageCrossOverPredictor(
fast=fast_window,
slow=slow_window,
column_name=CLOSE,
fill_between_crossovers=True,
)
pipeline = StrategySignalPipeline(
feature_transfor... | Python | nomic_cornstack_python_v1 |
if length a != length n
begin
print false
end
set c = 0
set b = 0
for i in a
begin
set c = c + ordinal i
end
for g in a
begin
set b = b + ordinal g
end
if c == b
begin
print true
end
else
begin
print false
end | if len(a)!= len(n):
print (False)
c=0
b=0
for i in a:
c+=ord(i)
for g in a:
b+=ord(g)
if c==b:
print (True)
else:
print (False) | Python | zaydzuhri_stack_edu_python |
function __eq__ self other
begin
if is instance other Coordinate
begin
return x == x and y == y
end
else
if is instance other Tuple
begin
return x == other at 0 and y == other at 1
end
else
begin
return NotImplemented
end
end function | def __eq__(self, other: Union[Coordinate, Tuple]) -> bool:
if isinstance(other, Coordinate):
return self.x == other.x and self.y == other.y
elif isinstance(other, Tuple):
return self.x == other[0] and self.y == other[1]
else:
return NotImplemented | Python | nomic_cornstack_python_v1 |
import random
set n = 5
comment Generate a random array of unique elements
set arr = random sample range 1 10 * n n
comment Sort the array in ascending order
sort arr
print arr | import random
n = 5
# Generate a random array of unique elements
arr = random.sample(range(1, 10*n), n)
# Sort the array in ascending order
arr.sort()
print(arr)
| Python | jtatman_500k |
function createFile name
begin
try
begin
comment 別名
with open name string w encoding=string utf-8 as f
begin
write f string 123
end
end
comment 接 FileNotFoundError 類別的錯誤訊息
except FileNotFoundError as e
begin
print e
print args
set name = replace name string / string
with open name string w encoding=string utf-8 as f
be... | def createFile(name):
try:
with open(name, 'w', encoding='utf-8') as f: # 別名
f.write('123')
except FileNotFoundError as e: # 接 FileNotFoundError 類別的錯誤訊息
print(e)
print(e.args)
name = name.replace('/', '')
with open(name, 'w', encoding='utf-8') as f... | Python | zaydzuhri_stack_edu_python |
from flask import Flask , jsonify
from flask_restful import Api , Resource , reqparse
import time
import sqlite3
comment Creating database for the project
set connection = call connect string Health_data.db
set cursor = call cursor
execute cursor string CREATE TABLE IF NOT EXISTS Health_info (row_id INTEGER PRIMARY KEY... | from flask import Flask, jsonify
from flask_restful import Api, Resource, reqparse
import time
import sqlite3
# Creating database for the project
connection = sqlite3.connect("Health_data.db")
cursor = connection.cursor()
cursor.execute("CREATE TABLE IF NOT EXISTS Health_info (row_id INTEGER PRIMARY KEY, patient_id in... | Python | zaydzuhri_stack_edu_python |
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
set iris = call load_iris
set x_vals = array list comprehension x at slice 0 : 3 : for x in data
set y_vals = array list comprehension x at 3 for x in data
comment print(y_vals)
set sess = call Session
set seed = 2
... | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
iris = datasets.load_iris()
x_vals = np.array([x[0:3] for x in iris.data])
y_vals = np.array([x[3] for x in iris.data])
# print(y_vals)
sess = tf.Session()
seed = 2
tf.set_random_seed(seed)
np.random.seed(seed)
... | Python | zaydzuhri_stack_edu_python |
async function modify_ack_deadline self request=none subscription=none ack_ids=none ack_deadline_seconds=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 th... | async def modify_ack_deadline(
self,
request: Union[pubsub.ModifyAckDeadlineRequest, dict] = None,
*,
subscription: str = None,
ack_ids: Sequence[str] = None,
ack_deadline_seconds: int = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float ... | Python | nomic_cornstack_python_v1 |
import numpy as np
import torch
import torch.nn as nn
from torch.distributions import Categorical
class TypeModel extends Module
begin
string Type model (uncoditional) for Attention Induced Program Learning Parameters ---------- max_k: int Maximum number of parts that can be present in an image at once num_parts: int N... | import numpy as np
import torch
import torch.nn as nn
from torch.distributions import Categorical
class TypeModel(nn.Module):
'''
Type model (uncoditional) for Attention Induced Program Learning
Parameters
----------
max_k: int
Maximum number of parts that can be present in an image at... | Python | zaydzuhri_stack_edu_python |
function predict_api
begin
set data = call get_json
set dataset = call DataFrame data index=list 0
set new_df = call preprocess dataset
print type new_df
if is instance new_df str
begin
return string Error!
end
else
begin
set result = predict new_df
return call jsonify result
end
end function | def predict_api():
data = request.get_json()
dataset = pd.DataFrame(data, index=[0, ])
new_df = preprocess(dataset)
print(type(new_df))
if isinstance(new_df, str):
return "Error!"
else:
result = predict(new_df)
return jsonify(result) | Python | nomic_cornstack_python_v1 |
function make_env_file env_string
begin
with open string .env.example string w as f
begin
write f env_string
end
end function | def make_env_file(env_string):
with open('.env.example', 'w') as f:
f.write(env_string) | Python | nomic_cornstack_python_v1 |
from keras.layers import Dense , Conv2D , MaxPooling2D , Flatten , Lambda , Input
from keras.models import Model , load_model
from keras.optimizers import Adam , RMSprop
class QNet extends object
begin
set __slots__ = list string model string optimizer string learningRate string numberOfActions string inputDimensions s... | from keras.layers import Dense, Conv2D, MaxPooling2D, Flatten, Lambda, Input
from keras.models import Model, load_model
from keras.optimizers import Adam, RMSprop
class QNet(object):
__slots__ = ["model", "optimizer", "learningRate", "numberOfActions", "inputDimensions", "useMaxPooling"]
def __init__(self, l... | Python | zaydzuhri_stack_edu_python |
string Advent of Code 2020 By Emet Behrendt Day 7 Section 1
import os
set SELF_DIR = directory name path __file__
set INPUT_PATH = join path SELF_DIR string puzzle_input.txt
comment Fetch puzzle input
with open INPUT_PATH string r as file
begin
set PUZZLE_INPUT = split read file string
end
class Bag
begin
set bag_index... | """
Advent of Code 2020
By Emet Behrendt
Day 7
Section 1
"""
import os
SELF_DIR = os.path.dirname(__file__)
INPUT_PATH = os.path.join(SELF_DIR, 'puzzle_input.txt')
# Fetch puzzle input
with open(INPUT_PATH, 'r') as file:
PUZZLE_INPUT = file.read().split('\n')
class Bag:
bag_index = {}
def __init__(self, name, c... | Python | zaydzuhri_stack_edu_python |
async function test_program_next_run aresponses authenticated_local_client
begin
async_with authenticated_local_client
begin
add authenticated_local_client string { TEST_HOST } : { TEST_PORT } string /api/4/program/nextrun string get response=call json_response loads call load_fixture string program_nextrun_response.js... | async def test_program_next_run(
aresponses: ResponsesMockServer, authenticated_local_client: ResponsesMockServer
) -> None:
async with authenticated_local_client:
authenticated_local_client.add(
f"{TEST_HOST}:{TEST_PORT}",
"/api/4/program/nextrun",
"get",
... | Python | nomic_cornstack_python_v1 |
function tenant_id self
begin
return get pulumi self string tenant_id
end function | def tenant_id(self) -> pulumi.Input[str]:
return pulumi.get(self, "tenant_id") | Python | nomic_cornstack_python_v1 |
function ensure_valid_file self
begin
if file_name is none
begin
raise exception string Must specify file for SVGMobject
end
if exists path file_name
begin
set file_path = file_name
return
end
set relative = join path get current directory file_name
if exists path relative
begin
set file_path = relative
return
end
set ... | def ensure_valid_file(self):
if self.file_name is None:
raise Exception("Must specify file for SVGMobject")
if os.path.exists(self.file_name):
self.file_path = self.file_name
return
relative = os.path.join(os.getcwd(), self.file_name)
if os.path.exis... | Python | nomic_cornstack_python_v1 |
function getCorrelation_l self series_id
begin
comment regard the corrcoef of categorical as 0
if type == categorical
begin
return 0
end
if type == temporal
begin
set data1 = list comprehension i for i in range tuple_num // series_num
end
else
begin
set data1 = X at series_id
end
set data2 = Y at series_id
set log_data... | def getCorrelation_l(self,series_id):
if self.fx.type == Type.categorical: # regard the corrcoef of categorical as 0
return 0
if self.fx.type == Type.temporal:
data1 = [i for i in range(self.tuple_num // self.series_num)]
else:
data1 = self.X[series_id]
... | Python | nomic_cornstack_python_v1 |
function _volume_to_step_position self volume
begin
comment noinspection PyArgumentEqualDefault
set steps = volume * _steps_per_ml
return round call m_as string steps + _offset_steps
end function | def _volume_to_step_position(self, volume: pint.Quantity) -> int:
# noinspection PyArgumentEqualDefault
steps = volume * self._steps_per_ml
return round(steps.m_as("steps")) + self._offset_steps | Python | nomic_cornstack_python_v1 |
function format_input_type t id_map
begin
if call is_required_type t
begin
set t = of_type
set fmt = string %s
end
else
begin
set fmt = string Optional[%s]
end
if call is_list_type t
begin
return fmt % string list[ { call format_input_type of_type id_map } ]
end
if call is_custom_scalar_type t and name in id_map
begin
... | def format_input_type(t: GraphQLInputType, id_map: IDMap) -> str:
if is_required_type(t):
t = t.of_type
fmt = "%s"
else:
fmt = "Optional[%s]"
if is_list_type(t):
return fmt % f"list[{format_input_type(t.of_type, id_map)}]"
if is_custom_scalar_type(t) and t.name in id_ma... | Python | nomic_cornstack_python_v1 |
from gpkit import Variable , Model
class FlightState extends Model
begin
function setup self
begin
set rho = call Variable string \rho 1.225 string kg/m**3 string air density
set rho = call Variable string \rho 1.225 string kg/m**3 string air density
set mu = call Variable string \mu 1.789e-05 string kg/m/s string air ... | from gpkit import Variable, Model
class FlightState(Model):
def setup(self):
rho = self.rho = Variable("\\rho", 1.225, "kg/m**3", "air density")
mu = self.mu = Variable("\\mu", 1.789e-5, "kg/m/s", "air viscosity")
V = self.V = Variable("V", "knots", "speed")
constraints = [rho == ... | Python | zaydzuhri_stack_edu_python |
comment -*- coding:utf-8 _*-
string @author:hql @file: Lib @time: 2018/08/{DAY}
string 物理基础运算库
from Vector import Vector
function VectorCollision m1 v1 m2 v2
begin
set m12 = m1 - m2
set mv2 = 2 * m2 * v2
set mv1 = 2 * m1 * v1
set x = m12 * v1 + mv2 // m1 + m2
set y = - m12 * v2 + mv1 // m1 + m2
return tuple x y
end fun... | #-*- coding:utf-8 _*-
"""
@author:hql
@file: Lib
@time: 2018/08/{DAY}
"""
"""
物理基础运算库
"""
from Vector import Vector
def VectorCollision( m1 ,v1 ,m2 ,v2 ):
m12 = m1-m2
mv2 = 2*m2*v2
mv1 = 2*m1*v1
x = (m12*v1+mv2)//(m1+m2)
y = (-m12 * v2 + mv1) // (m1 + m2)
return x,y
if __name__ == "__main__":... | Python | zaydzuhri_stack_edu_python |
function evaluate_classifier self
begin
set predictions = predict _model _test_data
return call f1_score _test_labels predictions
end function | def evaluate_classifier(self):
predictions = self._model.predict(self._test_data)
return f1_score(self._test_labels, predictions) | Python | nomic_cornstack_python_v1 |
comment @lc app=leetcode id=96 lang=python3
comment [96] Unique Binary Search Trees
comment https://leetcode.com/problems/unique-binary-search-trees/description/
comment algorithms
comment Medium (46.83%)
comment Total Accepted: 207.8K
comment Total Submissions: 443.6K
comment Testcase Example: '3'
comment Given n, how... | #
# @lc app=leetcode id=96 lang=python3
#
# [96] Unique Binary Search Trees
#
# https://leetcode.com/problems/unique-binary-search-trees/description/
#
# algorithms
# Medium (46.83%)
# Total Accepted: 207.8K
# Total Submissions: 443.6K
# Testcase Example: '3'
#
# Given n, how many structurally unique BST's (binary ... | Python | zaydzuhri_stack_edu_python |
function update self clip_id feature_vec=none is_background=false timeout=none
begin
with call write_lock timeout
begin
set clip_id = integer clip_id
if feature_vec is not none and not ndim == 1 and length feature_vec == shape at 1
begin
raise call ValueError string Given feature vector not compatible (dimensionality o... | def update(self, clip_id, feature_vec=None, is_background=False,
timeout=None):
with self._rw_lock.write_lock(timeout):
clip_id = int(clip_id)
if feature_vec is not None and \
not (feature_vec.ndim == 1
and len(feature_vec) == s... | Python | nomic_cornstack_python_v1 |
function _freeze_layers self
begin
comment Freeze everything and then unfreeze only the layers we want to train.
for model in tuple vae unet text_encoder
begin
for param in parameters model
begin
set requires_grad = false
end
end
for param in parameters new_embedding
begin
set requires_grad = true
end
end function | def _freeze_layers(self) -> None:
# Freeze everything and then unfreeze only the layers we want to train.
for model in (
self.vae,
self.unet,
self.text_encoder,
):
for param in model.parameters():
param.requires_grad = False
... | Python | nomic_cornstack_python_v1 |
string A class within cim v1.5 type system. CIM CODE GENERATOR :: Code generated @ 2012-05-02 12:24:01.321176.
comment Module imports.
import datetime
import simplejson
import types
import uuid
comment Intra/Inter-package imports.
from pycim.v1_5.types.software.timing_units import TimingUnits
comment Module exports.
se... | """A class within cim v1.5 type system.
CIM CODE GENERATOR :: Code generated @ 2012-05-02 12:24:01.321176.
"""
# Module imports.
import datetime
import simplejson
import types
import uuid
# Intra/Inter-package imports.
from pycim.v1_5.types.software.timing_units import TimingUnits
# Module exports.
__all__ = ['Ti... | Python | zaydzuhri_stack_edu_python |
async function cmd_mmlogs self author channel server auth_id
begin
if auth_id not in mod_mail_db
begin
raise call CommandError string ERROR: User ID not found in Mod Mail DB
end
set quick_switch_dict = dict
set quick_switch_dict at auth_id = dict string embed call Embed ; string member_obj await call get_user_info aut... | async def cmd_mmlogs(self, author, channel, server, auth_id):
if auth_id not in self.mod_mail_db:
raise CommandError('ERROR: User ID not found in Mod Mail DB')
quick_switch_dict = {}
quick_switch_dict[auth_id] = {'embed': discord.Embed(), 'member_obj': await self.get_user_info(auth_i... | Python | nomic_cornstack_python_v1 |
function next_possible_moves self is_vamp
begin
set next_possible_positions = call next_possible_positions is_vamp
comment pour chaque groupe, on regarde la répartition de monstres autour de la case de départ
set group_repartitions = dict
for tuple tuple x_old y_old next_positions in items next_possible_positions
begi... | def next_possible_moves(self, is_vamp):
next_possible_positions = self.next_possible_positions(is_vamp)
group_repartitions = {} # pour chaque groupe, on regarde la répartition de monstres autour de la case de départ
for (x_old, y_old), next_positions in next_possible_positions.items():
... | Python | nomic_cornstack_python_v1 |
function _keep_row row hits
begin
if row at 0 in hits
begin
if decimal row at 3 < decimal hits at row at 0 at string Hit_e-val
begin
return true
end
else
begin
return false
end
end
else
begin
return true
end
end function | def _keep_row(row, hits):
if row[0] in hits:
if float(row[3]) < float(hits[row[0]]["Hit_e-val"]):
return True
else:
return False
else:
return True | Python | nomic_cornstack_python_v1 |
function get_viewbox node default=tuple string 0 string 0 string 640 string 480
begin
comment Available for: svg, symbol (via use), image, foreignObject
comment pylint:disable=invalid-name
set viewBox = get node string viewBox
if viewBox is none
begin
return default
end
comment Fixme: Handle preserveAspectRatio
set tup... | def get_viewbox(node, default=('0','0','640','480')):
# Available for: svg, symbol (via use), image, foreignObject
viewBox = node.get('viewBox') # pylint:disable=invalid-name
if viewBox is None:
return default
# Fixme: Handle preserveAspectRatio
x, y, w, h = [v for v in viewBox.split(' ')]... | Python | nomic_cornstack_python_v1 |
function reward_func self state action Time_matrix
begin
set reward = 0.0
set trip_time = 0
if action == list 0 0
begin
set reward = - 1 * C
set trip_time = 1
return tuple reward trip_time
end
set curr_loc = state at 0
set curr_hour = state at 1
set curr_day = state at 2
set start_loc = action at 0
set end_loc = action... | def reward_func(self, state, action, Time_matrix):
reward = 0.0
trip_time = 0
if action == [0,0]:
reward = (-1 * C)
trip_time = 1
return reward, trip_time
curr_loc = state[0]
curr_hour = state[1]
curr_day = state[2]
... | Python | nomic_cornstack_python_v1 |
try
begin
set length = integer input
set string = list split input string
for i in string
begin
set check = integer i
set k = count string i
if k > 1
begin
set k = i
break
end
else
begin
set k = string unique
end
end
print k
end
except any
begin
print string Invalid input
end | try:
length = int(input())
string = list(input().split(" "))
for i in string :
check = int(i)
k= string.count(i)
if(k>1):
k=i
break
else:
k="unique"
print(k)
except:
print("Invalid input") | Python | zaydzuhri_stack_edu_python |
function _transfer_str self conn tmp name data
begin
string transfer string to remote file
if type data == dict
begin
set data = call jsonify data
end
set tuple afd afile = make file temp
set afo = call fdopen afd string w
try
begin
write afo encode data string utf8
end
except any
begin
raise call AnsibleError string f... | def _transfer_str(self, conn, tmp, name, data):
''' transfer string to remote file '''
if type(data) == dict:
data = utils.jsonify(data)
afd, afile = tempfile.mkstemp()
afo = os.fdopen(afd, 'w')
try:
afo.write(data.encode('utf8'))
except:
... | Python | jtatman_500k |
function init self
begin
call init
set screen = call set_mode tuple width height
call set_caption title
end function | def init(self):
pygame.init()
self.screen = pygame.display.set_mode((self.width, self.height))
pygame.display.set_caption(self.title) | Python | nomic_cornstack_python_v1 |
function test_template_tags_post self
begin
pass
end function | def test_template_tags_post(self):
pass | Python | nomic_cornstack_python_v1 |
comment import the necessary packages
from __future__ import print_function
from imutils.video import WebcamVideoStream
from imutils.video import FPS
import argparse
import imutils
import cv2
comment construct the argument parse and parse the arguments
set ap = call ArgumentParser
call add_argument string -n string --n... | # import the necessary packages
from __future__ import print_function
from imutils.video import WebcamVideoStream
from imutils.video import FPS
import argparse
import imutils
import cv2
# construct the argument parse and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-n", "--num-frames", type=int,... | Python | zaydzuhri_stack_edu_python |
for i in range 1 n
begin
set resposta = resposta * i
end
print resposta | for i in range(1, n):
resposta *= i
print(resposta)
| Python | zaydzuhri_stack_edu_python |
from collections import defaultdict
from scrapy import Spider , Selector
from scrapy import Request
from urlsresolver import PageUri
from urlsresolver import UrlsResolver
from exceptions import NotExistSiteError
from utils import populate_md5 , deepcopy
from conf import InitConfigs as _InitConfigs
class Collector exten... | from collections import defaultdict
from scrapy import Spider, Selector
from scrapy import Request
from ..urlsresolver import PageUri
from ..urlsresolver import UrlsResolver
from ..exceptions import NotExistSiteError
from ..utils import populate_md5, deepcopy
from ..conf import InitConfigs as _InitConfigs
class Coll... | Python | zaydzuhri_stack_edu_python |
function run self data
begin
if data and application
begin
comment Build tuples for embedding index
if embeddings
begin
set data = list comprehension tuple x element none for tuple x element in enumerate data
end
comment Process workflow
with call spinner string Running workflow....
begin
set results = list
for result... | def run(self, data):
if data and self.application:
# Build tuples for embedding index
if self.application.embeddings:
data = [(x, element, None) for x, element in enumerate(data)]
# Process workflow
with st.spinner("Running workflow...."):
... | Python | nomic_cornstack_python_v1 |
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
set mnist = call read_data_sets string course/03-Convolutional-Neural-Networks/MNIST_data/ one_hot=true
comment Helper functions
comment Initialize weights
function init_weights shape
begin
set init_random_dist = call truncated_normal sh... | import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("course/03-Convolutional-Neural-Networks/MNIST_data/",one_hot=True)
## Helper functions
# Initialize weights
def init_weights(shape):
init_random_dist = tf.truncated_normal(shape,stddev=0.1)
re... | Python | zaydzuhri_stack_edu_python |
function get_matches_for_StEWI
begin
set chemicalmatches = read csv output_dir + string ChemicalsByInventorywithSRS_IDS_forStEWI.csv dtype=dict string SRS_ID string str
return chemicalmatches
end function | def get_matches_for_StEWI():
chemicalmatches = pd.read_csv(output_dir+'ChemicalsByInventorywithSRS_IDS_forStEWI.csv',
dtype={"SRS_ID":"str"})
return chemicalmatches | Python | nomic_cornstack_python_v1 |
class CurrencyBase
begin
function __init__ self value name
begin
set value = value
set name = name
end function
function __str__ self
begin
return string { value }
end function
function __repr__ self
begin
return string { value } { name }
end function
end class
class Account extends CurrencyBase
begin
function __init__... | class CurrencyBase:
def __init__(self, value, name):
self.value = value
self.name = name
def __str__(self):
return f"{self.value}"
def __repr__(self):
return f"{self.value} {self.name}"
class Account(CurrencyBase):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def deposit(sel... | Python | zaydzuhri_stack_edu_python |
function fluidVoxelInfo *args checkBounds=true inBounds=none objectSpace=true radius=0.0 voxel=none voxelCenter=true xIndex=0 yIndex=0 zIndex=0 **kwargs
begin
pass
end function | def fluidVoxelInfo(*args, checkBounds: bool=True, inBounds: List[int, int, int]=None,
objectSpace: bool=True, radius: float=0.0, voxel: List[float, float,
float]=None, voxelCenter: bool=True, xIndex: int=0, yIndex: int=0, zIndex:
int=0, **kwargs)->None:
pass | Python | nomic_cornstack_python_v1 |
comment coding:iso-8859-9 Trke
comment p_30408.py: numpy.array_equal(a,b), numpy.logical_or(a,b) ve numpy.logical_and(a,b) rnei.
import numpy as np
set A = array list list 11 12 13 list 21 22 23 list 31 32 33
set B = array list list 11 102 13 list 201 22 203 list 31 32 303
print string A ve B matrisleri: A string B se... | # coding:iso-8859-9 Trke
# p_30408.py: numpy.array_equal(a,b), numpy.logical_or(a,b) ve numpy.logical_and(a,b) rnei.
import numpy as np
A = np.array ([
[11, 12, 13],
[21, 22, 23],
[31, 32, 33] ])
B = np.array ([
[11, 102, 13],
[201, 22, 203],
[31, 32, 303] ])
print ("A ve B ma... | Python | zaydzuhri_stack_edu_python |
import math
set Input = string #.#.##..#.###...##.#....##....### ...#..#.#.##.....#..##.#...###..# ####...#..#.##...#.##..####..#.#. ..#.#..#...#..####.##....#..####. ....##...#.##...#.#.#...#.#..##.. .#....#.##.#.##......#..#..#..#.. .#.......#.....#.....#...###..... #.#.#.##..#.#...###.#.###....#..# #.#..........##..... | import math
Input="""#.#.##..#.###...##.#....##....###
...#..#.#.##.....#..##.#...###..#
####...#..#.##...#.##..####..#.#.
..#.#..#...#..####.##....#..####.
....##...#.##...#.#.#...#.#..##..
.#....#.##.#.##......#..#..#..#..
.#.......#.....#.....#...###.....
#.#.#.##..#.#...###.#.###....#..#
#.#..........##..###.......... | Python | zaydzuhri_stack_edu_python |
if __name__ == string __main__
begin
set food = list string rice string beans
append food string broccoli
extend food list string bread string pizza
print food at slice : 2 :
print food at - 1
set breakfast_string = string eggs,fruit,orange juice
set breakfast = split breakfast_string string ,
length breakfast
set flo... | if __name__ == '__main__':
food = ['rice', 'beans']
food.append('broccoli')
food.extend(['bread', 'pizza'])
print(food[:2])
print(food[-1])
breakfast_string = 'eggs,fruit,orange juice'
breakfast = breakfast_string.split(',')
len(breakfast)
floating_point_list = []
while Tru... | Python | zaydzuhri_stack_edu_python |
function get_cpu_info self
begin
set xml = call getCapabilities
set xml = call parseDoc xml
set nodes = call xpathEval string //host/cpu
if length nodes != 1
begin
set reason = call _ string '<cpu>' must be 1, but %d % length nodes
set reason = reason + call serialize
raise call InvalidCPUInfo reason=reason
end
set cpu... | def get_cpu_info(self):
xml = self._conn.getCapabilities()
xml = libxml2.parseDoc(xml)
nodes = xml.xpathEval('//host/cpu')
if len(nodes) != 1:
reason = _("'<cpu>' must be 1, but %d\n") % len(nodes)
reason += xml.serialize()
raise exception.InvalidCPUI... | Python | nomic_cornstack_python_v1 |
import os
import shutil
set source = input string enter the source folder
set destination = input string enter the destination folder
set source = source + string /
set destination = destination + string /
set listOfFiles = list directory source
for file in listOfFiles
begin
copy shutil source + file destination
end | import os
import shutil
source=input('enter the source folder')
destination = input ('enter the destination folder')
source=source+'/'
destination=destination+'/'
listOfFiles=os.listdir(source)
for file in listOfFiles:
shutil.copy((source+file),destination) | Python | zaydzuhri_stack_edu_python |
import smbus
set bus = call SMBus 1
function writeNumber value
begin
try
begin
if value > 20
begin
call write_byte 4 value
end
else
begin
call write_byte 4 0
end
end
except any
begin
return false
end
finally
begin
return true
end
end function
function writeBlock block
begin
try
begin
call write_i2c_block_data 4 0 block... | import smbus
bus = smbus.SMBus(1)
def writeNumber(value):
try:
if value > 20:
bus.write_byte(0x04, value)
else:
bus.write_byte(0x04, 0)
except:
return False
finally:
return True
def writeBlock(block):
try:
bus.write_i2c_block_data(0x04, ... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Sun Feb 12 09:13:00 2017 @author: JunTaniguchi
comment !/usr/bin/env python3
comment -*- coding: utf-8 -*-
string Created on Fri Feb 10 21:01:54 2017 @author: JunTaniguchi
import requests
function get_flicker_dict text
begin
string flicker se... | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 12 09:13:00 2017
@author: JunTaniguchi
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Feb 10 21:01:54 2017
@author: JunTaniguchi
"""
import requests
def get_flicker_dict(text):
"""
flicker serch APIを利用し、テキスト検索でヒットした... | Python | zaydzuhri_stack_edu_python |
import numpy as np
comment вводим числа
set a = integer input string Введите от:
set b = integer input string Введите до:
comment возможность ввести два любых числа
if a > b
begin
set tuple a b = tuple b a
end
comment загадали число
set number = random integer a b
print string Загадано число от a string до b
function g... | import numpy as np
# вводим числа
a = int(input('Введите от: \n'))
b = int(input('Введите до: \n'))
# возможность ввести два любых числа
if a > b:
a, b = b, a
# загадали число
number = np.random.randint(a, b)
print('Загадано число от', a, 'до', b)
def game_1(number, mid=a+b // 2, low=a, high=b):
"""бинарный ... | Python | zaydzuhri_stack_edu_python |
function get_service_provider_settings self db
begin
if _service_provider is none
begin
set _service_provider = call _get_service_provider_settings call get_service_provider db
end
return _service_provider
end function | def get_service_provider_settings(self, db):
if self._service_provider is None:
self._service_provider = self._get_service_provider_settings(self._configuration.get_service_provider(db))
return self._service_provider | Python | nomic_cornstack_python_v1 |
function _signature cls apikey encoded_params
begin
set signature = call hmacnew apikey at string Secret msg=encoded_params digestmod=_sha512
set _post_headers at string Key = apikey at string Key
set _post_headers at string Sign = hex digest signature
end function | def _signature(cls, apikey, encoded_params):
signature = hmacnew(apikey['Secret'],
msg=encoded_params, digestmod=_sha512)
cls._post_headers['Key'] = apikey['Key']
cls._post_headers['Sign'] = signature.hexdigest() | Python | nomic_cornstack_python_v1 |
function calculate score interpreted_classes pathogenicity_class_map=default_pathogencity_class_map
begin
if length pathogenicity_class_map > 2
begin
warn string Can't calculate ROC curves for multiclass.
return dict
end
set tuple fpr tpr thresholds = call roc_curve interpreted_classes data
return dict string fpr fpr ... | def calculate(score: Score, interpreted_classes: Series,
pathogenicity_class_map=default_pathogencity_class_map) -> dict:
if len(pathogenicity_class_map) > 2:
warn("Can't calculate ROC curves for multiclass.")
return {}
fpr, tpr, thresholds = roc_curve(interpret... | Python | nomic_cornstack_python_v1 |
async function async_get_downstream self
begin
if token is none
begin
await call async_initialize_token
end
clear ds_channels
set raw = await call _async_ws_get_function CMD_DOWNSTREAM
try
begin
set xml_root = call fromstring raw
for downstream in iterate string downstream
begin
append ds_channels call DownstreamChanne... | async def async_get_downstream(self):
if self.token is None:
await self.async_initialize_token()
self.ds_channels.clear()
raw = await self._async_ws_get_function(CMD_DOWNSTREAM)
try:
xml_root = element_tree.fromstring(raw)
for downstream in xml_root.... | Python | nomic_cornstack_python_v1 |
import socket
import bin.settings as s
function action data
begin
return encode upper data string utf-8
end function
function run
begin
set sock = call socket
call bind tuple IP PORT
call listen 1
print string start listen port { PORT } :
set tuple conn addr = call accept
print string --- conection ---
while true
begin... | import socket
import bin.settings as s
def action(data):
return data.upper().encode("utf-8")
def run():
sock = socket.socket()
sock.bind((s.IP, s.PORT))
sock.listen(1)
print(f"start listen port {s.PORT}:")
conn, addr = sock.accept()
print("--- conection ---")
while True:
... | Python | zaydzuhri_stack_edu_python |
comment coding=utf-8
import itertools
class KwargsUtils extends object
begin
decorator staticmethod
function get_arg_matrix arg_map
begin
string Tranform {"a": [1, 2, 3], "b": [1], "c": [1, 2]} to [ {"a": 1, "b": 1, "c": 1}, {"a": 2, "b": 1, "c": 2}, {"a": 3, "b": 1, "c": 1}, {"a": 1, "b": 1, "c": 2}, {"a": 2, "b": 1, ... | # coding=utf-8
import itertools
class KwargsUtils(object):
@staticmethod
def get_arg_matrix(arg_map):
"""
Tranform
{"a": [1, 2, 3], "b": [1], "c": [1, 2]}
to
[
{"a": 1, "b": 1, "c": 1},
{"a": 2, "b": 1, "c": 2},
{"a": 3, "b... | Python | zaydzuhri_stack_edu_python |
function minibatch_k_means X k mbsize iters
begin
set samples = shape at 0
comment Initialize centers
set seed = call argsort call rand samples at slice : k :
set centers = X at seed
set v = ones k
for i in call xrange iters
begin
set sample = call argsort call rand samples at slice : mbsize :
set M = X at sample
s... | def minibatch_k_means(X, k, mbsize, iters):
samples = X.shape[0]
# Initialize centers
seed = np.argsort(np.random.rand(samples))[:k]
centers = X[seed]
v = np.ones(k)
#
for i in xrange(iters):
sample = np.argsort(np.random.rand(samples))[:mbsize]
M = X[sample]
d = np.... | Python | nomic_cornstack_python_v1 |
function run_multicore args corpus dictionary passes alpha workers pre
begin
set lda = LdaMulticore
set ldamodel = call lda corpus num_topics=num_topics id2word=dictionary passes=passes alpha=alpha workers=workers prefix=pre
return model
end function | def run_multicore(args, corpus, dictionary, passes, alpha, workers, pre):
lda = gensim.models.ldamulticore.LdaMulticore
ldamodel = lda(corpus, num_topics=args.num_topics,
id2word=dictionary, passes=passes, alpha=alpha, workers=workers,
prefix=pre)
return model | Python | nomic_cornstack_python_v1 |
function transform_image img_path
begin
comment define transformation steps
set crop_to_lower_percentage = 50
set output_size = tuple 256 256
set transform = call get_predict_image_transform
comment load image
set img = decimal
comment perform transformation
set input = transform img
comment single image instead of bat... | def transform_image(img_path: Path) -> torch.Tensor:
# define transformation steps
crop_to_lower_percentage = 50
output_size = (256, 256)
transform = get_predict_image_transform()
# load image
img = torchvision.io.read_image(str(img_path)).float()
# perform transformation
input = trans... | Python | nomic_cornstack_python_v1 |
if A + B > C
begin
print B + C
end
else
if A + B == C
begin
print 2 * B + A
end
else
begin
print 2 * B + A + 1
end | if A + B > C:
print(B + C)
elif A + B == C:
print(2*B + A)
else:
print(2*B + A + 1) | Python | zaydzuhri_stack_edu_python |
function getLastIndexWithoutHeader filename
begin
comment subtract 1 since start index=0
return call getCSVLengthWithoutHeader filename - 1
end function | def getLastIndexWithoutHeader(filename):
return getCSVLengthWithoutHeader(filename)-1 # subtract 1 since start index=0 | Python | nomic_cornstack_python_v1 |
function get_broadcast_transaction_hashes coin_symbol=string btc api_key=none limit=10
begin
string Warning, slow!
set transactions = call get_broadcast_transactions coin_symbol=coin_symbol api_key=api_key limit=limit
return list comprehension tx at string hash for tx in transactions
end function | def get_broadcast_transaction_hashes(coin_symbol='btc', api_key=None, limit=10):
'''
Warning, slow!
'''
transactions = get_broadcast_transactions(
coin_symbol=coin_symbol,
api_key=api_key,
limit=limit,
)
return [tx['hash'] for tx in transactions] | Python | jtatman_500k |
function make_mixture_prior latent_size mixture_components
begin
string Creates the mixture of Gaussians prior distribution. Args: latent_size: The dimensionality of the latent representation. mixture_components: Number of elements of the mixture. Returns: random_prior: A `tfd.Distribution` instance representing the di... | def make_mixture_prior(latent_size, mixture_components):
"""Creates the mixture of Gaussians prior distribution.
Args:
latent_size: The dimensionality of the latent representation.
mixture_components: Number of elements of the mixture.
Returns:
random_prior: A `tfd.Distribution` instance representin... | Python | jtatman_500k |
function delegated_role_definition_ids self
begin
return get pulumi self string delegated_role_definition_ids
end function | def delegated_role_definition_ids(self) -> Optional[Sequence[str]]:
return pulumi.get(self, "delegated_role_definition_ids") | Python | nomic_cornstack_python_v1 |
function write_csv file_path data delimiter=string ,
begin
with open file_path string w encoding=string UTF8 newline=string as file
begin
set writer = writer file delimiter=delimiter
comment write multiple rows
write rows writer data
return true
end
end function | def write_csv(file_path, data, delimiter=","):
with open(file_path, 'w', encoding='UTF8', newline='') as file:
writer = csv.writer(file, delimiter=delimiter)
# write multiple rows
writer.writerows(data)
return True | Python | nomic_cornstack_python_v1 |
function addParserOptions parser
begin
comment these options apply globally
call add_option string --line-length dest=string lineLength type=string int default=80 help=string Set the length of lines in the file [default: %default]
call add_option string --lines-split dest=string splitLines default=true action=string st... | def addParserOptions(parser):
#these options apply globally
parser.add_option("--line-length",dest="lineLength",type="int",default=80
,help="Set the length of lines in the file [default: %default]")
parser.add_option("--lines-split",dest="splitLines",default=True
,action="store_true"
,help="Separat... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
comment -*- coding:utf-8 -*-
class Student extends object
begin
string docstring for student
function __init__ self name score
begin
set name = name
set score = score
end function
function print_score self
begin
print string %s: %s % tuple name score
end function
end class
set bart = call ... | # !/usr/bin/env python3
# -*- coding:utf-8 -*-
class Student(object):
"""docstring for student"""
def __init__(self, name,score):
self.name = name
self.score = score
def print_score(self):
print('%s: %s'%(self.name,self.score))
bart = Student('Bart Simpson',59)
lisa = Student('Lisa Simpson',87)
bart.print_sc... | Python | zaydzuhri_stack_edu_python |
function prep_python_creds self
begin
set creds = dictionary generator expression tuple call rm_prefix lower k at 0 k at 1 for k in call prep_nova_creds
if get creds string url
begin
set creds at string auth_url = pop creds string url
end
if get creds string tenant_name
begin
set creds at string project_id = pop creds ... | def prep_python_creds(self):
creds = dict((utils.rm_prefix(k[0].lower()), k[1])
for k in self.prep_nova_creds())
if creds.get('url'):
creds['auth_url'] = creds.pop('url')
if creds.get('tenant_name'):
creds['project_id'] = creds.pop('tenant_name'... | Python | nomic_cornstack_python_v1 |
function parsiraj_upit upit
begin
set delovi = split upit
set saLogickimOperatorom = list
set reciUpita = list
for deo in delovi
begin
if upper deo in list string AND string OR string NOT
begin
append saLogickimOperatorom deo
end
else
begin
append reciUpita deo
end
end
comment Ako je duzina veca od jedan znaci da je ... | def parsiraj_upit(upit):
delovi = upit.split()
saLogickimOperatorom = []
reciUpita = []
for deo in delovi:
if deo.upper() in ['AND', 'OR', 'NOT']:
saLogickimOperatorom.append(deo)
else:
reciUpita.append(deo)
if len(saLogickimOperatorom) > 1: # Ako je duzina... | Python | zaydzuhri_stack_edu_python |
function test_lt self
begin
comment Test Case 1
set seq1 = string GGCCTAATTACCCAGTGAACCGTAAT
set seq2 = string GCTTCTCAGTCTTGGTGCTTCTGAC
assert true call Reverse_Primer seq1 0 < call Reverse_Primer seq2 1
comment Test Case 2
set seq1 = string CATCTTCCATAAAATGATTGTGATAGAAATGTCACT
set seq2 = string GTGCAGGGGGTTGCAGGAG
as... | def test_lt(self):
# Test Case 1
seq1 = "GGCCTAATTACCCAGTGAACCGTAAT"
seq2 = "GCTTCTCAGTCTTGGTGCTTCTGAC"
self.assertTrue(Reverse_Primer(seq1, 0) < Reverse_Primer(seq2, 1))
# Test Case 2
seq1 = "CATCTTCCATAAAATGATTGTGATAGAAATGTCACT"
seq2 = "GTGCAGGGGGTTGCAGGAG"
... | Python | nomic_cornstack_python_v1 |
import tweepy
import json
from pprint import pprint
with open string keys.json as key_file
begin
set data = load json key_file
end
set KEY = data at string keys at string consumer at string key
set SECRET = data at string keys at string consumer at string secret
set TOKEN = data at string keys at string access at strin... | import tweepy
import json
from pprint import pprint
with open('keys.json') as key_file:
data = json.load(key_file)
KEY = data["keys"]["consumer"]["key"]
SECRET = data["keys"]["consumer"]["secret"]
TOKEN = data["keys"]["access"]["token"]
T_SECRET = data["keys"]["access"]["secret"]
AUTH = tweepy.OAuthHandler(KEY, ... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
comment Created for the picoCTF 2018 buffer overflow 3 challenge
comment required brute-forcing a static "canary" implementation
from pwn import *
import struct
import itertools
import time
set buf = string B * 32
set junk = string D * 16
comment win at 0x080486eb
set eip = call pack string <I ... | #!/usr/bin/python
# Created for the picoCTF 2018 buffer overflow 3 challenge
# required brute-forcing a static "canary" implementation
from pwn import *
import struct
import itertools
import time
buf = "B" * 32
junk = "D" * 16
#win at 0x080486eb
eip = struct.pack("<I",0x080486eb)
charset = "0123456789ABCDEFGHIJKLM... | Python | zaydzuhri_stack_edu_python |
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