code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function add_class self label=none definition=none synonyms=tuple comment=none cid=none subClassOf=none predicates=none
begin
return call add_entity type=string term label=label definition=definition synonyms=synonyms comment=comment cid=cid subThingOf=subClassOf predicates=predicates
end function | def add_class(self,
label: str = None,
definition: str = None,
synonyms: tuple = tuple(),
comment: str = None,
cid: Union[str, int] = None,
subClassOf: str = None,
predicates: dict = None) -> Qu... | Python | nomic_cornstack_python_v1 |
function p_funct self yi p t
begin
global Cg
set Cg = absolute yi at 0
global Ch
set Ch = absolute yi at 1
global tin_g
set tin_g = absolute yi at 2
global tin_h
set tin_h = absolute yi at 3
set y = call state_at t
set risk = 1 - y at - 1 at 0 + y at - 1 at 3 / sum y at - 1
return absolute risk - p
end function | def p_funct(self, yi, p, t):
global Cg
Cg = abs(yi[0])
global Ch
Ch = abs(yi[1])
global tin_g
tin_g = abs(yi[2])
global tin_h
tin_h = abs(yi[3])
y = state_at(t)
risk = 1 - (y[-1][0] + y[-1][3]) / sum(y[-1])
return abs(risk - p) | Python | nomic_cornstack_python_v1 |
import math
import numpy
import random
import typing
import equipment
import simulation
class SmartSimulation extends simulation
begin
decorator staticmethod
function weightedDistribution additional initialBuckets weights
begin
string Metaphorically speaking, we have a list of buckets that each contains some quantity o... | import math
import numpy
import random
import typing
import equipment
import simulation
class SmartSimulation(simulation.simulation):
@staticmethod
def weightedDistribution(additional: float, initialBuckets: typing.List[float], weights: typing.List[float]) -> typing.List[float]:
"""Metaphorically spea... | Python | zaydzuhri_stack_edu_python |
function get_parent_images namespace_name repository_name image_obj
begin
set parents = ancestors
comment Ancestors are in the format /<root>/<intermediate>/.../<parent>/, with each path section
comment containing the database Id of the image row.
set parent_db_ids = split strip parents string / string /
if parent_db_i... | def get_parent_images(namespace_name, repository_name, image_obj):
parents = image_obj.ancestors
# Ancestors are in the format /<root>/<intermediate>/.../<parent>/, with each path section
# containing the database Id of the image row.
parent_db_ids = parents.strip("/").split("/")
if parent_db_ids =... | Python | nomic_cornstack_python_v1 |
import numpy as np
import pickle
import pandas as pd
from sklearn.decomposition import PCA
from sklearn.cluster import KMeans
set df_std = load pickle open string ./model/scaled_data.pkl string rb
set names = load pickle open string ./model/names.pkl string rb
set pca_flask = principal component analysis n_components=1... | import numpy as np
import pickle
import pandas as pd
from sklearn.decomposition import PCA
from sklearn.cluster import KMeans
df_std= pickle.load(open('./model/scaled_data.pkl', 'rb'))
names = pickle.load(open('./model/names.pkl', 'rb'))
pca_flask = PCA(n_components=100)
data_flask=pca_flask.fit_transform(df_std)
k... | Python | zaydzuhri_stack_edu_python |
comment CALCULATING POWER OF MATRIX using Numpy
import numpy as np
from numpy.linalg import matrix_power
from numpy.linalg import multi_dot
from numpy import *
comment --------------------------------------------------------------------------EXAMPLE 1 (2*2 matrix)
print string -----EXAMPLE 1-----
set A = random integer... | #CALCULATING POWER OF MATRIX using Numpy
import numpy as np
from numpy.linalg import matrix_power
from numpy.linalg import multi_dot
from numpy import *
#--------------------------------------------------------------------------EXAMPLE 1 (2*2 matrix)
print("-----EXAMPLE 1-----")
A=np.random.randint(10,size=(2,2))
answe... | Python | zaydzuhri_stack_edu_python |
function from_dict cls dikt
begin
return call deserialize_model dikt cls
end function | def from_dict(cls, dikt) -> 'SecurityNotification':
return util.deserialize_model(dikt, cls) | Python | nomic_cornstack_python_v1 |
import sys
append path argv at 0 at slice : - 6 : + string VF2/
import itertools as it
import matplotlib.cbook
import networkx as nx
import time
import warnings
from vf import Vf
filter warnings string ignore category=mplDeprecation
comment Все возможные сочетания узлов list_nodes размера k
function gen_combinations ... | import sys
sys.path.append(sys.argv[0][:-6] + 'VF2/')
import itertools as it
import matplotlib.cbook
import networkx as nx
import time
import warnings
from vf import Vf
warnings.filterwarnings("ignore", category=matplotlib.cbook.mplDeprecation)
# Все возможные сочетания узлов list_nodes размера k
def gen_combinati... | Python | zaydzuhri_stack_edu_python |
function create path value=string acls=none ephemeral=false sequence=false makepath=false profile=none hosts=none scheme=none username=none password=none default_acl=none
begin
string Create Znode path path of znode to create value value to assign to znode (Default: '') acls list of acl dictionaries to be assigned (De... | def create(path, value='', acls=None, ephemeral=False, sequence=False, makepath=False, profile=None,
hosts=None, scheme=None, username=None, password=None, default_acl=None):
'''
Create Znode
path
path of znode to create
value
value to assign to znode (Default: '')
acls... | Python | jtatman_500k |
function extract_features self
begin
set feature_paths = dictionary
for feat_type in outlier_feat_types
begin
try
begin
print format string Extracting feature type: {} feat_type
set feature_paths at feat_type = call feature_extractor self feat_type
end
except any
begin
call print_exc
print format string Unable to extra... | def extract_features(self):
self.feature_paths = dict()
for feat_type in self.outlier_feat_types:
try:
print('Extracting feature type: {}'.format(feat_type))
self.feature_paths[feat_type] = self.feature_extractor(self, feat_type)
except:
... | Python | nomic_cornstack_python_v1 |
function _predict_lane self
begin
set binary_warped = call get_image
set out_img = call dstack tuple binary_warped binary_warped binary_warped * 255
set nonzero = call nonzero
set nonzeroy = array nonzero at 0
set nonzerox = array nonzero at 1
set margin = 100
set left_lane_indexes = nonzerox > _left_fit at 0 * nonzero... | def _predict_lane(self):
binary_warped = self.binary_output.get_image()
out_img = np.dstack((binary_warped, binary_warped, binary_warped))*255
nonzero = binary_warped.nonzero()
nonzeroy = np.array(nonzero[0])
nonzerox = np.array(nonzero[1])
margin = 100
left_lane... | Python | nomic_cornstack_python_v1 |
function DefinePosition1 self
begin
comment if self.matchedword.dbid == 166728:
comment import ipdb; ipdb.set_trace()
if call DefinePositionMatch
begin
comment list the words dependents
call ListDependentsRecursive matchedsentence
comment For the source segment
if call IsThisClauseInitial positionmatchword matchedsente... | def DefinePosition1(self):
#if self.matchedword.dbid == 166728:
#import ipdb; ipdb.set_trace()
if self.DefinePositionMatch():
#list the words dependents
self.positionmatchword.ListDependentsRecursive(self.matchedsentence)
#For the source segment
... | Python | nomic_cornstack_python_v1 |
comment def game(n):
comment global win
comment if len(n) == 1:
comment return win
comment else:
comment win *= -1
comment a = n[-1] + n[-2]
comment if a < 10:
comment n.pop(-1)
comment n.pop(-1)
comment n.append(a)
comment elif a >= 10:
comment n.pop(-1)
comment n.pop(-1)
comment n.append(a // 10)
comment n.append(a %... | # def game(n):
# global win
# if len(n) == 1:
# return win
# else:
# win *= -1
# a = n[-1] + n[-2]
# if a < 10:
# n.pop(-1)
# n.pop(-1)
# n.append(a)
# elif a >= 10:
# n.pop(-1)
# n.pop(-1)
# n.ap... | Python | zaydzuhri_stack_edu_python |
function deutsch_algorithm oracle
begin
yield call X q1
yield tuple call H q0 call H q1
yield oracle
yield call H q0
yield call measure q0
end function | def deutsch_algorithm(oracle):
yield cirq.X(q1)
yield cirq.H(q0), cirq.H(q1)
yield oracle
yield cirq.H(q0)
yield cirq.measure(q0) | Python | nomic_cornstack_python_v1 |
function setup_mlflow run_name
begin
call set_tracking_uri string http://beetle.mlflow.kplabs.pl
call set_experiment string cloud_detection
call start_run run_name=run_name
end function | def setup_mlflow(run_name: str):
mlflow.set_tracking_uri("http://beetle.mlflow.kplabs.pl")
mlflow.set_experiment("cloud_detection")
mlflow.start_run(run_name=run_name) | Python | nomic_cornstack_python_v1 |
function setSymbol self *args
begin
return call InitialAssignment_setSymbol self *args
end function | def setSymbol(self, *args):
return _libsbml.InitialAssignment_setSymbol(self, *args) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Wed Jun 17 23:59:51 2020 @author: Renan
import os
import math
import matplotlib.pyplot as plt
import matplotlib.ticker as tck
import scipy.interpolate
import numpy as np
set f = 60
set vp = 5
set t = 0
comment ------
set w = 2 * pi * f
set exp = 18
set bits = 2 ^ exp
set ... | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 17 23:59:51 2020
@author: Renan
"""
import os
import math
import matplotlib.pyplot as plt
import matplotlib.ticker as tck
import scipy.interpolate
import numpy as np
f=60
vp=5
t=0
#------
w=2*np.pi*f
exp=18
bits=2**exp
tempo=[]
n=1
dt=(n/bits)
#phi=-w*t
fonte_tensao=... | Python | zaydzuhri_stack_edu_python |
function _create_es_client self
begin
from elasticsearch._async.client import AsyncElasticsearch
set use_basic_auth = _username is not none and _password is not none
set serializer = call get_serializer
if use_basic_auth
begin
set auth = tuple _username _password
return call AsyncElasticsearch list _url http_auth=auth ... | def _create_es_client(self):
from elasticsearch._async.client import AsyncElasticsearch
use_basic_auth = self._username is not None and self._password is not None
serializer = get_serializer()
if use_basic_auth:
auth = (self._username, self._password)
return As... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
comment coding: utf-8
comment In[1]:
comment pip install yfinance
comment pip install PyPortfolioOpt
comment pip install pulp
comment In[94]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
call use string fivethirtyeight
from datetime import dat... | #!/usr/bin/env python
# coding: utf-8
# In[1]:
#pip install yfinance
#pip install PyPortfolioOpt
#pip install pulp
# In[94]:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
plt.style.use('fivethirtyeight')
from datetime import datetime
import yfinance as yf
# In[95... | Python | zaydzuhri_stack_edu_python |
function is_good_response resp
begin
set content_type = lower headers at string Content-Type
return status_code == 200 and content_type is not none and find content_type string html > - 1
end function | def is_good_response(resp):
content_type = resp.headers['Content-Type'].lower()
return (resp.status_code == 200 and content_type is not None and content_type.find('html') > -1) | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string Created on Wed Mar 11 12:50:33 2020 @author: cheerag.verma
function spiralPrinting arr
begin
set rowStart = 0
set rowEnd = n
set colStart = 0
set colEnd = m
while rowStart < rowEnd and colStart < colEnd
begin
for j in range colStart colEnd
begin
print arr at rowStart at j end=string... | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 11 12:50:33 2020
@author: cheerag.verma
"""
def spiralPrinting(arr):
rowStart = 0
rowEnd = n
colStart = 0
colEnd = m
while rowStart<rowEnd and colStart<colEnd:
for j in range(colStart,colEnd):
print(ar... | Python | zaydzuhri_stack_edu_python |
function update_time_dependent self dt
begin
if index == 7
begin
return none
end
set current_time = current_time + dt
if current_time >= animation_time
begin
set current_time = 0
set index = index + 1 % length images
set image = images at index
end
end function | def update_time_dependent(self, dt):
if self.index == 7:
return None
self.current_time += dt
if self.current_time >= self.animation_time:
self.current_time = 0
self.index = (self.index + 1) % len(self.images)
self.image = self.images[self.index] | Python | nomic_cornstack_python_v1 |
function homeassistant_image self
begin
return environ at string HOMEASSISTANT_REPOSITORY
end function | def homeassistant_image(self):
return os.environ['HOMEASSISTANT_REPOSITORY'] | Python | nomic_cornstack_python_v1 |
function act self states timestep add_noise=true
begin
return list comprehension call act call expand_dims state axis=0 timestep for tuple agent state in zip agents states
end function | def act(self, states, timestep, add_noise=True):
return [agent.act(np.expand_dims(state, axis=0), timestep) for agent, state in zip(self.agents, states)] | Python | nomic_cornstack_python_v1 |
function walk2 self **kwargs
begin
comment type: (str) -> Generator
if not _initialized
begin
raise call PyCdlibInvalidInput string This object is not initialized; call either open() or new() to create an ISO
end
set num_paths = 0
for tuple key value in items kwargs
begin
if key in tuple string joliet_path string rr_pa... | def walk2(self, **kwargs):
# type: (str) -> Generator
if not self._initialized:
raise pycdlibexception.PyCdlibInvalidInput('This object is not initialized; call either open() or new() to create an ISO')
num_paths = 0
for key, value in kwargs.items():
if key in ('joliet_path'... | Python | nomic_cornstack_python_v1 |
string Coq files dependencies analysis. ..todo: Generalize multiprocessing to the whole pipeline.
import copy
import itertools
import pandas as pd
import networkx as nx
import networkx.algorithms as al
from os import path
from functools import reduce , partial
from concurrent.futures import ProcessPoolExecutor
function... | """Coq files dependencies analysis.
..todo: Generalize multiprocessing to the whole pipeline.
"""
import copy
import itertools
import pandas as pd
import networkx as nx
import networkx.algorithms as al
from os import path
from functools import reduce, partial
from concurrent.futures import ProcessPoolExecutor
def... | Python | zaydzuhri_stack_edu_python |
function exec self **kwargs
begin
pass
end function | def exec(self,**kwargs):
pass | Python | nomic_cornstack_python_v1 |
comment _________________________SET UP_______________________________________________________
comment iterating over all other lines
set w_index = 0
set h_index = 0
for i in range n_categories
begin
comment line is current ith line of input
set line = list map int split input
set k at i = line at 0
del line at 0
comme... | #_________________________SET UP_______________________________________________________
# iterating over all other lines
w_index = 0
h_index = 0
for i in range(n_categories):
line = list(map(int, input().split())) #line is current ith line of input
k[i] = line[0]
del line[0]
# now working with only th... | Python | zaydzuhri_stack_edu_python |
function validate_character_for_story_element sender instance action reverse pk_set *args **kwargs
begin
string Validates that character is from the same outline as the story node.
if action == string pre_add
begin
if reverse
begin
for spk in pk_set
begin
set story_node = get objects pk=spk
if outline != outline
begin
... | def validate_character_for_story_element(sender, instance, action, reverse, pk_set, *args, **kwargs):
'''
Validates that character is from the same outline as the story node.
'''
if action == 'pre_add':
if reverse:
for spk in pk_set:
story_node = StoryElementNode.obje... | Python | jtatman_500k |
from itertools import permutations
from collections import deque
function init
begin
with open string input.txt string r as f
begin
set program = list comprehension integer c for c in split read f string ,
end
return program
end function
function compute prog io output
begin
set i = 0
set op = list comprehension 0 for ... | from itertools import permutations
from collections import deque
def init():
with open("input.txt","r") as f:
program = [int(c) for c in f.read().split(',')]
return program
def compute(prog,io,output):
i = 0
op = [0 for n in range(2)]
while i < len(prog):
instr = prog[i]
# ... | Python | zaydzuhri_stack_edu_python |
function _make_file_path self classes_name sub_str sample_name subsub_str=none
begin
set mini_batch_dir = string pplp/data/mini_batches/iou_2d/panoptic/train/lidar
if sample_name
begin
if subsub_str
begin
return mini_batch_dir + string / + classes_name + string [ + sub_str + string ]/ + subsub_str + string / + sample_n... | def _make_file_path(self, classes_name, sub_str, sample_name, subsub_str=None):
mini_batch_dir = 'pplp/data/mini_batches/iou_2d/panoptic/train/lidar'
if sample_name:
if subsub_str:
return mini_batch_dir + '/' + classes_name + \
'[' + sub_str + ']/' + \
... | Python | nomic_cornstack_python_v1 |
function _build_G self
begin
call build_inputs
call build_seq_embeddings
call build_model
call setup_global_step
comment [batch_size, max_seq_len_this_batch, vocab_size]
comment shp = tf.shape(self.logits)
comment [batch_size, max_seq_len_this_batch]
set caption_embedding_ids = call arg_max logits dimension=2
comment c... | def _build_G(self):
self.build_inputs()
self.build_seq_embeddings()
self.build_model()
self.setup_global_step()
# [batch_size, max_seq_len_this_batch, vocab_size]
# shp = tf.shape(self.logits)
# [batch_size, max_seq_len_this_batch]
self.caption_embedding... | Python | nomic_cornstack_python_v1 |
function GetTextHeightAtIndex self Index=defaultNamedNotOptArg
begin
return call InvokeTypes 5 LCID 1 tuple 5 0 tuple tuple 3 1 Index
end function | def GetTextHeightAtIndex(self, Index=defaultNamedNotOptArg):
return self._oleobj_.InvokeTypes(5, LCID, 1, (5, 0), ((3, 1),),Index
) | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python3
string learning about NEO from NASA | chris.marquardt2@vzw.com
import requests
from pprint import pprint
from datetime import datetime
comment define api_key (read in from file)
with open string neo.key as neokey
begin
set api_key = read neokey
end
comment lookup nasa api
comment GET https... | #!/usr/bin/env python3
"""learning about NEO from NASA | chris.marquardt2@vzw.com"""
import requests
from pprint import pprint
from datetime import datetime
## define api_key (read in from file)
with open("neo.key") as neokey:
api_key = neokey.read()
## lookup nasa api
## GET https://api.nasa.gov/neo/rest/v1/fe... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import math
function plot_distribution_comparison histograms legend title
begin
string Plots a list of histograms with matching list of descriptions as the legend. :param histograms: list of histograms :param legend: list of matching histogram names :param title: plot title
comment TODO:... | import matplotlib.pyplot as plt
import math
def plot_distribution_comparison(histograms, legend, title):
"""
Plots a list of histograms with matching list of descriptions as the legend.
:param histograms: list of histograms
:param legend: list of matching histogram names
:param title: plot title
... | Python | zaydzuhri_stack_edu_python |
function commit_message_from_addendum added_text
begin
comment TODO: use a grammar to parse the added_text, and therefore
comment get a way better commit messaging.
set COMMIT_MESSAGE_TEMPLATE = strip string {pioneer} discovered {name} at {date} Location: {location}
set run_regex = lambda reg -> call groups 0 at 0
retu... | def commit_message_from_addendum(added_text:str) -> str:
# TODO: use a grammar to parse the added_text, and therefore
# get a way better commit messaging.
COMMIT_MESSAGE_TEMPLATE = """
{pioneer} discovered {name} at {date}
Location: {location}
""".strip()
run_regex = lambda reg: reg.search(added_t... | Python | nomic_cornstack_python_v1 |
function test_sync_no_archives_failure self
begin
set support = call SaltSupportModule
set archives = call MagicMock return_value=list
with raises SaltInvocationError as err
begin
call sync string group-name
end
assert string No archives found to transfer in string err
end function | def test_sync_no_archives_failure(self):
support = saltsupport.SaltSupportModule()
support.archives = MagicMock(return_value=[])
with pytest.raises(salt.exceptions.SaltInvocationError) as err:
support.sync("group-name")
assert "No archives found to transfer" in str(err) | Python | nomic_cornstack_python_v1 |
function layer_sensitivity_profiling model val_dataloader cali_dataloader val_func criterion target_metric sensitivity_type qconfig metric_big_best backend args
begin
set t_model = deep copy model
eval
call distributed_model_not_ddp t_model args
set device = device
print string layer_sensitivity_profiling use device: {... | def layer_sensitivity_profiling(model: Module, val_dataloader: DataLoader, cali_dataloader: DataLoader, val_func,
criterion: _Loss, target_metric: float, sensitivity_type: int, qconfig: QConfig,
metric_big_best: bool, backend: str, args):
t_model = cop... | Python | nomic_cornstack_python_v1 |
function fit_text self font_family=string Calibri max_size=18 bold=false italic=false font_file=none
begin
string Fit text-frame text entirely within bounds of its shape. Make the text in this text frame fit entirely within the bounds of its shape by setting word wrap on and applying the "best-fit" font size to all the... | def fit_text(self, font_family='Calibri', max_size=18, bold=False,
italic=False, font_file=None):
"""Fit text-frame text entirely within bounds of its shape.
Make the text in this text frame fit entirely within the bounds of
its shape by setting word wrap on and applying the "b... | Python | jtatman_500k |
function include self photo
begin
if photo in file
begin
return true
end
return false
end function | def include(self, photo):
if photo in self.file:
return True
return False | Python | nomic_cornstack_python_v1 |
import pandas as pd
comment Field Names
set fields = list string Symbol string Volume string Tweets
comment Read in Ticker data
set ticker_df = read csv string data/nyse_081821.csv
comment Setup Filter for 2M in Volume
set is_2M = ticker_df at string Volume >= 2000000
comment Apply Filter to capture symbols with at lea... | import pandas as pd
#Field Names
fields = ["Symbol", "Volume", "Tweets"]
#Read in Ticker data
ticker_df = pd.read_csv("data/nyse_081821.csv")
#Setup Filter for 2M in Volume
is_2M = ticker_df["Volume"] >= 2000000
#Apply Filter to capture symbols with at least 2M in Volume
output = ticker_df[is_2M]
final = output.sor... | Python | zaydzuhri_stack_edu_python |
import os
import json
from flask import Flask , jsonify , request , g
import flasgger
import zmq
import base64
set app = call Flask __name__
set swagger = call Swagger app
comment connexion serveur zmq (service tokendealer port 7000)
set context = call Context
set socket = call socket REQ
call connect string tcp://toke... | import os
import json
from flask import(Flask, jsonify, request, g)
import flasgger
import zmq
import base64
app = Flask(__name__)
swagger = flasgger.Swagger(app)
# connexion serveur zmq (service tokendealer port 7000)
context = zmq.Context()
socket = context.socket(zmq.REQ)
socket.connect("tcp://tokendealer:7000")
... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/python
import sys
set oldKey = none
set nodes = list
set occurrences = 0
for line in stdin
begin
set data_mapped = split strip line string
if length data_mapped != 2
begin
comment Something has gone wrong. Skip this line.
continue
end
set tuple thisKey node = data_mapped
if oldKey and oldKey != thisK... | #!/usr/bin/python
import sys
oldKey = None
nodes = []
occurrences = 0
for line in sys.stdin:
data_mapped = line.strip().split("\t")
if len(data_mapped) != 2:
# Something has gone wrong. Skip this line.
continue
thisKey, node = data_mapped
if oldKey and oldKey != thisKey:
nod... | Python | zaydzuhri_stack_edu_python |
string Get all the post paths
import pathlib
from bs4 import BeautifulSoup
set here = call resolve
set site = here / string site
set sitemap = site / string sitemap.xml
with open sitemap string r as file_
begin
set contents = read file_
set soup = call BeautifulSoup contents string xml
set locations = find all soup str... | '''
Get all the post paths
'''
import pathlib
from bs4 import BeautifulSoup
here = pathlib.Path(__file__).parent.resolve()
site = here / 'site'
sitemap = site / 'sitemap.xml'
with open(sitemap, 'r') as file_:
contents = file_.read()
soup = BeautifulSoup(contents, "xml")
locations = soup.find_all('loc')
... | Python | zaydzuhri_stack_edu_python |
function check_valid_training_input self training_config
begin
for channel in training_config at string InputDataConfig
begin
call check_for_url channel at string DataSource at string S3DataSource at string S3Uri
end
end function | def check_valid_training_input(self, training_config):
for channel in training_config['InputDataConfig']:
self.check_for_url(channel['DataSource']
['S3DataSource']['S3Uri']) | Python | nomic_cornstack_python_v1 |
function get_cache_prefix self prefix=string
begin
string Hook for any extra data you would like to prepend to your cache key. The default implementation ensures that ajax not non ajax requests are cached separately. This can easily be extended to differentiate on other criteria like mobile os' for example.
if CACHE_MI... | def get_cache_prefix(self, prefix=''):
"""
Hook for any extra data you would like
to prepend to your cache key.
The default implementation ensures that ajax not non
ajax requests are cached separately. This can easily
be extended to differentiate on other criteria
... | Python | jtatman_500k |
function navigation self
begin
set tuple text_from_xml ids eng_list = call get_text_from_xml string_xml string Navigation string trans-unit strip selected_language
set xpath = call read_xpath_list_from_xml object_repo string Navigation my_object
set lenth = length xpath
set text_index = 0
set loop_index = 0
while loop_... | def navigation(self):
text_from_xml, ids, eng_list = self.util.get_text_from_xml(self.string_xml, "Navigation", "trans-unit",
Config.selected_language.strip())
xpath = self.util.read_xpath_list_from_xml(self.object_repo, "Navigation",... | Python | nomic_cornstack_python_v1 |
import re
import collections
import operator
function open_file
begin
with open string mystem.xml encoding=string utf-8 as f
begin
set text = read f
end
return text
end function
function count_symbols text
begin
set n = 0
for line in text
begin
if string <w> or string <se> or string /se in line
begin
for symbol in line... | import re
import collections
import operator
def open_file():
with open('mystem.xml', encoding='utf-8') as f:
text = f.read()
return text
def count_symbols(text):
n = 0
for line in text:
if '<w>' or '<se>' or '/se' in line:
for symbol in line:
... | Python | zaydzuhri_stack_edu_python |
import sys
function bitFlip c
begin
return if expression c == string 0 then string 1 else string 0
end function
function flip s
begin
return join string list comprehension call bitFlip c for c in s
end function
function reverse s
begin
return join string list reversed s
end function
function getOp before after
begin
... | import sys
def bitFlip(c):
return '1' if c == '0' else '0'
def flip(s):
return ''.join([bitFlip(c) for c in s])
def reverse(s):
return ''.join(list(reversed(s)))
def getOp(before, after):
flipped = flip(before)
rev = reverse(before)
if before == after:
return 'none'
if after == r... | Python | zaydzuhri_stack_edu_python |
class Solution
begin
function minMoves nums
begin
sort nums
set mid = integer length nums / 2
set moves = 0
for i in range length nums
begin
set moves = moves + absolute nums at mid - nums at i
end
return moves
end function
end class | class Solution:
def minMoves(nums):
nums.sort()
mid = int(len(nums)/2)
moves = 0
for i in range(len(nums)):
moves = moves + abs(nums[mid] - nums[i])
return(moves)
| Python | zaydzuhri_stack_edu_python |
from CpuScheduler import printOutput
comment # # Sample input
comment processList = [{"processId": 0, "arrivalTime": 0, "BurstTime": 3},
comment {"processId": 1, "arrivalTime": 2, "BurstTime": 6},
comment {"processId": 2, "arrivalTime": 4, "BurstTime": 4},
comment {"processId": 3, "arrivalTime": 6, "BurstTime": 5},
com... | from CpuScheduler import printOutput
# # # Sample input
# processList = [{"processId": 0, "arrivalTime": 0, "BurstTime": 3},
# {"processId": 1, "arrivalTime": 2, "BurstTime": 6},
# {"processId": 2, "arrivalTime": 4, "BurstTime": 4},
# {"processId": 3, "arrivalTime": 6, "... | Python | zaydzuhri_stack_edu_python |
function test_read_python35_package
begin
set t = string Package: python3 Version: 3.5 Vim-Version: 35 Install: x86 C:\Python35 x64 C:\Python35
set f = call StringIO t
set pkgs = read Package f
call eq_ length pkgs 1
call eq_ name string python3
call eq_ version string 3.5
call eq_ vim_version string 35
set paths = cal... | def test_read_python35_package():
t = """
Package: python3
Version: 3.5
Vim-Version: 35
Install:
x86 C:\Python35
x64 C:\Python35
"""
f = StringIO(t)
pkgs = Package.read(f)
eq_(len(pkgs), 1)
eq_(pkgs[0].name, 'python3')
eq_(pkgs[0].version, '3.5')
eq_(pkgs[0].vim_version, '35')
paths = ... | Python | nomic_cornstack_python_v1 |
function prepare_surrogates self pool=none
begin
if pool == none
begin
set map_func = map
end
else
begin
set map_func = map
end
comment burst the time series
set num_lats = length lats
set num_lons = length lons
set num_tm = length tm
comment run the job in parallel
set job_data = list comprehension tuple i j order_ran... | def prepare_surrogates(self, pool = None):
if pool == None:
map_func = map
else:
map_func = pool.map
# burst the time series
num_lats = len(self.lats)
num_lons = len(self.lons)
num_tm = len(self.tm)
# run the job in paral... | Python | nomic_cornstack_python_v1 |
import json
import os
import re
from datetime import datetime
from pandas import ExcelWriter
from pandas.io.json import json_normalize
import scripts.logger_util as Logger
from scripts.utils import get_configuration
set logger = call get_logger __name__
set config = call get_configuration
function write_to_file market_... | import json
import os
import re
from datetime import datetime
from pandas import ExcelWriter
from pandas.io.json import json_normalize
import scripts.logger_util as Logger
from scripts.utils import get_configuration
logger = Logger.get_logger(__name__)
config = get_configuration()
def write_to_file(market_type, ca... | Python | zaydzuhri_stack_edu_python |
comment !/usr/bin/env python
comment -*- coding: utf-8 -*-
import os.path as path
import sys
from orcreader import OrcReader | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os.path as path
import sys
from orcreader import OrcReader
| Python | zaydzuhri_stack_edu_python |
function RemoveVirtualLayersFromWebkitLayoutTestName test_name
begin
set match = match test_name
if match
begin
return call group 1
end
return test_name
end function | def RemoveVirtualLayersFromWebkitLayoutTestName(test_name):
match = _VIRTUAL_LAYOUT_TEST_NAME_PATTERN.match(test_name)
if match:
return match.group(1)
return test_name | Python | nomic_cornstack_python_v1 |
function relevant_complaints complaints complaints_accused t1 t2
begin
set complaints at string incident_date = call to_datetime complaints at string incident_date
set complaints_t1 = complaints at year >= t1 at 0 ? year <= t1 at 1
set complaints_t2 = complaints at year >= t2 at 0 ? year <= t2 at 1
set complaints_t1_fu... | def relevant_complaints(complaints, complaints_accused, t1, t2):
complaints["incident_date"] = pd.to_datetime(complaints["incident_date"])
complaints_t1 = complaints[(complaints["incident_date"].dt.year >= t1[0]) &
(complaints["incident_date"].dt.year <= t1[1])]
complaints_t2 ... | Python | nomic_cornstack_python_v1 |
comment -*- coding: utf-8 -*-
string 62. KVS内の反復処理 60で構築したデータベースを用い，活動場所が「Japan」となっているアーティスト数を求めよ．
import sys
import plyvel
function main db_source
begin
set n = 0
set artist_db = call DB db_source
for tuple name area in artist_db
begin
if area == string Japan
begin
set n = n + 1
end
end
close artist_db
end function | # -*- coding: utf-8 -*-
"""
62. KVS内の反復処理
60で構築したデータベースを用い，活動場所が「Japan」となっているアーティスト数を求めよ．
"""
import sys
import plyvel
def main(db_source):
n = 0
artist_db = plyvel.DB(db_source)
for name,area in artist_db:
if area == "Japan":
n += 1
artist_db.close() | Python | zaydzuhri_stack_edu_python |
class reader_writer
begin
function write_solution self file_path dict_result score
begin
set file = open file_path string w
write file string length dict_result + string
for library_id in keys dict_result
begin
set lib_num = string library_id
set lib_books = dict_result at library_id
set size = length lib_books
set siz... | class reader_writer():
def write_solution(self, file_path, dict_result, score):
file = open(file_path, "w")
file.write(str(len(dict_result)) + '\n')
for library_id in dict_result.keys():
lib_num = str(library_id)
lib_books = dict_result[library_id]
size =... | Python | zaydzuhri_stack_edu_python |
function dataset_parameters self
begin
return get pulumi self string dataset_parameters
end function | def dataset_parameters(self) -> Optional[str]:
return pulumi.get(self, "dataset_parameters") | Python | nomic_cornstack_python_v1 |
function convertDnaListToString lst
begin
comment PUT YOUR IMPLEMENTATION HERE
set curr = head
set s = string
while curr != none
begin
set s = s + string data
set curr = next
end
return s
end function | def convertDnaListToString(lst):
# PUT YOUR IMPLEMENTATION HERE
curr = lst.head
s = ''
while curr != None:
s += str(curr.data)
curr = curr.next
return s | Python | nomic_cornstack_python_v1 |
comment print 1 to 50(normal method)
comment lst=[]
comment for i in range(1,51):
comment lst.append(i)
comment print(lst)
comment using list comprehension
set lst = list comprehension i for i in range 1 51
print lst | #print 1 to 50(normal method)
# lst=[]
# for i in range(1,51):
# lst.append(i)
# print(lst)
#using list comprehension
lst=[i for i in range(1,51)]
print(lst)
| Python | zaydzuhri_stack_edu_python |
function from_name cls symb
begin
if is instance symb cls
begin
return symb
end
try
begin
set cache = __dict__ at string _str_to_op
end
except KeyError
begin
set _str_to_op = dict
set cache = dict
end
try
begin
return cache at symb
end
except KeyError
begin
pass
end
for op in cls
begin
if value == symb
begin
set cach... | def from_name(cls, symb: Union[str, "Op"]) -> "Op":
if isinstance(symb, cls):
return symb
try:
cache = cls.__dict__["_str_to_op"]
except KeyError:
cls._str_to_op = cache = {}
try:
return cache[symb]
except KeyError:
pa... | Python | nomic_cornstack_python_v1 |
import re
set regex = compile string pattern
print start search string searching pattern in text.. | import re
regex = re.compile("pattern")
print(regex.search("searching pattern in text..").start())
| Python | zaydzuhri_stack_edu_python |
import cv2
import math
import numpy as np
import tkinter
comment Prevents root window from opening after file is selected
from tkinter import Tk
set root = call Tk
call withdraw
comment Select image to remove blemish
from tkinter.filedialog import askopenfilename
set filename = call askopenfilename
set image = call imr... | import cv2
import math
import numpy as np
import tkinter
# Prevents root window from opening after file is selected
from tkinter import Tk
root = Tk()
root.withdraw()
# Select image to remove blemish
from tkinter.filedialog import askopenfilename
filename = askopenfilename()
image = cv2.imread(filename)
output = ima... | Python | zaydzuhri_stack_edu_python |
function setup cls client_id client_secret
begin
string Configure client in session
set client_id = client_id
set client_secret = client_secret
end function | def setup(cls, client_id, client_secret):
"""Configure client in session
"""
cls.client_id = client_id
cls.client_secret = client_secret | Python | jtatman_500k |
function get_predominant_language from_lang=string txt=string to_lang=string
begin
set response = text
return loads response at string translation at string from
end function | def get_predominant_language(from_lang='', txt='', to_lang=''):
response = requests.get((HOST + ENDPOINTTRANSLATE) % (from_lang, to_lang, txt[:500].replace('\r\n', ' '))).text
return json.loads(response)['translation']['from'] | Python | nomic_cornstack_python_v1 |
function get_weekly_track_chart self from_date=none to_date=none
begin
return call retrieve bind=Track flatten=string track params=dict string method string user.getWeeklyTrackChart ; string user name ; string from from_date ; string to to_date
end function | def get_weekly_track_chart(
self, from_date: str = None, to_date: str = None
) -> ListModel[Track]:
return self.retrieve(
bind=Track,
flatten="track",
params={
"method": "user.getWeeklyTrackChart",
"user": self.name,
... | Python | nomic_cornstack_python_v1 |
async function export_to_prometheus matcher=query string *
begin
return call StreamingResponse call prometheus_export matcher media_type=string plain/text
end function | async def export_to_prometheus(matcher: str = Query("*")) -> StreamingResponse:
return StreamingResponse(prometheus_export(matcher), media_type="plain/text") | Python | nomic_cornstack_python_v1 |
function num1
begin
set num_of_play = 1
set computer_point = 0
set human_point = 0
print string Welcome to the Snake, Water, Gun Game
print string 3 times is more then enough to find who is best
while num_of_play <= 3
begin
set play_num = integer input string type 1 for Snake type 2 for Water type 3 for Gun
if play_num... | def num1():
num_of_play = 1
computer_point = 0
human_point = 0
print("Welcome to the Snake, Water, Gun Game\n")
print("3 times is more then enough to find who is best\n")
while (num_of_play <= 3):
play_num = int(input(" type 1 for Snake \n type 2 for Water \n type 3 for Gun \n"))
... | Python | zaydzuhri_stack_edu_python |
function serialize path corpus
begin
info string Writing txt= { path }
with open path string w+ as f_out
begin
for line in corpus
begin
write f_out line
end
end
end function | def serialize(path: str, corpus: iCorpus):
log.info(f'Writing txt={path}')
with open(path, 'w+') as f_out:
for line in corpus:
f_out.write(line) | Python | nomic_cornstack_python_v1 |
function push self task backends_ctx
begin
raise call NotImplementedError
end function | def push(self, task, backends_ctx):
raise NotImplementedError() | Python | nomic_cornstack_python_v1 |
import os
import shutil
set path = string /home/python/
set names = list directory path
set folder_name = list string music string video string file string picture
for x in range 0 4
begin
if not exists path path + folder_name at x
begin
make directories path + folder_name at x
end
end
for files in names
begin
if strin... | import os
import shutil
path = "/home/python/"
names = os.listdir(path)
folder_name = ['music','video','file','picture']
for x in range(0,4):
if not os.path.exists(path+folder_name[x]):
os.makedirs(path+folder_name[x])
for files in names:
if ".mp3" in files and not os.path.exists(path+'music/'+files):
... | Python | zaydzuhri_stack_edu_python |
function finder files queries
begin
set store = dict
for directory in files
begin
set dir_splitted = split directory string /
for i in range length dir_splitted
begin
if dir_splitted at i != string
begin
if dir_splitted at i in store
begin
set store at dir_splitted at i = store at dir_splitted at i + list join string... | def finder(files, queries):
store = {}
for directory in files:
dir_splitted = directory.split('/')
for i in range(len(dir_splitted)):
if dir_splitted[i] != '':
if dir_splitted[i] in store:
store[dir_splitted[i]] += ['/'.join(dir_splitted[:i+1])]
... | Python | zaydzuhri_stack_edu_python |
function job_flows_to_stats job_flows now=none
begin
comment stats for all job flows
set s = dict
set s at string flows = list comprehension call job_flow_to_full_summary job_flow now=now for job_flow in job_flows
comment total usage
for nih_type in tuple string nih_billed string nih_used string nih_bbnu
begin
set s a... | def job_flows_to_stats(job_flows, now=None):
s = {} # stats for all job flows
s['flows'] = [job_flow_to_full_summary(job_flow, now=now)
for job_flow in job_flows]
# total usage
for nih_type in ('nih_billed', 'nih_used', 'nih_bbnu'):
s[nih_type] = float(sum(jf[nih_typ... | Python | nomic_cornstack_python_v1 |
function test_get self
begin
call _test_pre_redirect
set response = get client login_begin_url query_string=REQUEST_DATA
call _test_redirect response
end function | def test_get(self):
self._test_pre_redirect()
response = self.client.get(self.login_begin_url, query_string=REQUEST_DATA)
self._test_redirect(response) | Python | nomic_cornstack_python_v1 |
function __init__ self
begin
set DIMENSION = 0
set TOTAL_GRIDS = 1
set dense_threshold = 3.0
set sparse_threshold = 0.8
set time_gap = 0
set decay_factor = 0.998
set correlation_threshold = 0.0
set latestCluster = 0
end function | def __init__(self):
self.DIMENSION = 0
self.TOTAL_GRIDS = 1
self.dense_threshold = 3.0
self.sparse_threshold = 0.8
self.time_gap = 0
self.decay_factor = 0.998
self.correlation_threshold = 0.0
self.latestCluster = 0 | Python | nomic_cornstack_python_v1 |
comment 18.6 - Control Layout With Geometry Managers
comment Review Exercise #2
comment NOTE: The first exercise in this section is instructional and does
comment not require a solution to be shown here. For this reason, only the
comment solution to the second exercise is presented.
import tkinter as tk
comment Create ... | # 18.6 - Control Layout With Geometry Managers
# Review Exercise #2
# NOTE: The first exercise in this section is instructional and does
# not require a solution to be shown here. For this reason, only the
# solution to the second exercise is presented.
import tkinter as tk
# Create a new window with the title "Add... | Python | zaydzuhri_stack_edu_python |
function _load_namespace filename
begin
set data = load yaml call read_text
set namespace = data at string regionMap
set df = call from_dict namespace orient=string index
set name = string standardCode
set df at string namespace = data at string name
return df
end function | def _load_namespace(filename: Path) -> pandas.DataFrame:
data = yaml.load(filename.read_text())
namespace = data['regionMap']
df = pandas.DataFrame.from_dict(namespace, orient = 'index')
df.index.name = 'standardCode'
df['namespace'] = data['name']
return df | Python | nomic_cornstack_python_v1 |
function __call__ self max_iter=20000 spread=0.0001 start_samples=list
begin
set nsteps = 1000
comment Start walkers in a tight random ball
if length start_samples == 0
begin
comment Do this in the case of KDE
set pos = array list comprehension start + randn ndim * spread for i in range nwalkers
end
else
begin
comment ... | def __call__(self, max_iter=20000, spread=1e-4, start_samples=[]):
nsteps = 1000
# Start walkers in a tight random ball
if len(start_samples) == 0:
# Do this in the case of KDE
pos = np.array([self.start + (np.random.randn(self.ndim) * spread) for i in range(sel... | Python | nomic_cornstack_python_v1 |
function Flush *args **kwargs
begin
return call GraphicsContext_Flush *args keyword kwargs
end function | def Flush(*args, **kwargs):
return _gdi_.GraphicsContext_Flush(*args, **kwargs) | Python | nomic_cornstack_python_v1 |
function Add self failureSimulationKey failureSimulationFile=string failureSimulationPort=string
begin
set callResult = call _Call string Add failureSimulationKey failureSimulationFile failureSimulationPort
if callResult is none
begin
return none
end
set objId = callResult
set classInstance = FailureSimulation
return ... | def Add(self, failureSimulationKey, failureSimulationFile='', failureSimulationPort=''):
callResult = self._Call("Add", failureSimulationKey, failureSimulationFile, failureSimulationPort)
if callResult is None:
return None
objId = callResult
classInstance = FailureSimulati... | Python | nomic_cornstack_python_v1 |
function set_output_file self outputPath
begin
set output_file = outputPath
end function | def set_output_file(self, outputPath):
self.output_file = outputPath | Python | nomic_cornstack_python_v1 |
from question_model import Question
from data import question_data
from quiz_brain import QuizBrain
set question_bank = list
for question in question_data
begin
set question_text = question at string text
set question_answer = question at string answer
set new_question = call Question question_text question_answer
app... | from question_model import Question
from data import question_data
from quiz_brain import QuizBrain
question_bank = []
for question in question_data:
question_text = question["text"]
question_answer = question["answer"]
new_question = Question(question_text, question_answer)
question_bank.appe... | Python | zaydzuhri_stack_edu_python |
function dump_graph self writer
begin
writer string digraph %s_dfa { % name
for tuple i state in enumerate states
begin
writer string %d [label="State %d %s"]; % tuple i i is_final and string (final) or string
for tuple label next in sorted items arcs
begin
writer string %d -> %d [label=%s]; % tuple i index states next... | def dump_graph(self, writer):
writer('digraph %s_dfa {\n' % self.name)
for i, state in enumerate(self.states):
writer(' %d [label="State %d %s"];\n' % (i, i, state.is_final and "(final)" or ""))
for label, next in sorted(state.arcs.items()):
writer(" %d -> %d [lab... | Python | nomic_cornstack_python_v1 |
comment !/bin/python3
import sys
function marsExploration s
begin
comment Complete this function
if length s % 3 != 0
begin
return none
end
set n_msg = length s / 3
set cntr = 0
for i in range 0 length s 3
begin
set tmp = s at slice i : i + 3 :
if tmp at 0 != string S
begin
set cntr = cntr + 1
end
if tmp at 1 != strin... | #!/bin/python3
import sys
def marsExploration(s):
# Complete this function
if len(s) % 3 != 0:
return None
n_msg = len(s) / 3
cntr = 0
for i in range(0, len(s), 3):
tmp = s[i:i + 3]
if tmp[0] != 'S':
cntr += 1
if tmp[1] != 'O':
cntr += 1
... | Python | zaydzuhri_stack_edu_python |
import matplotlib.pyplot as plt
import numpy as np
import scipy
from scipy.interpolate import griddata
from mpi4py import MPI
set comm = COMM_WORLD
set size = call Get_size
set rank = call Get_rank
class SolverWrapper
begin
string Additional functionality to the C++ Python binding. The C++ class derived from SolverBase... | import matplotlib.pyplot as plt
import numpy as np
import scipy
from scipy.interpolate import griddata
from mpi4py import MPI; comm = MPI.COMM_WORLD; size = comm.Get_size(); rank = comm.Get_rank()
class SolverWrapper():
""" Additional functionality to the C++ Python binding.
The C++ class derived fr... | Python | zaydzuhri_stack_edu_python |
function _ event
begin
call insert_text string
end function | def _(event: E) -> None:
event.app.current_buffer.insert_text(" ") | Python | nomic_cornstack_python_v1 |
function __call__ self example
begin
return call test example
end function | def __call__(self, example):
return self.test(example) | Python | nomic_cornstack_python_v1 |
function from_pascal_case name
begin
return lower sub string \1_\2 name
end function | def from_pascal_case(name):
return CAP_RE.sub(r"\1_\2", name).lower() | Python | nomic_cornstack_python_v1 |
import heapq
set tuple n k = map int split input
set dp = list 10 ^ 9 * n + 1
set dp at 1 = 0
set que = list 1
call heapify que
while length que
begin
set cur = call heappop que
if cur * 2 <= n and dp at cur + 1 < dp at cur * 2
begin
set dp at cur * 2 = dp at cur + 1
call heappush que cur * 2
end
if cur + 3 <= n and dp... | import heapq
n, k = map(int, input().split())
dp = [10 ** 9] * (n + 1)
dp[1] = 0
que = [1]
heapq.heapify(que)
while len(que):
cur = heapq.heappop(que)
if cur * 2 <= n and dp[cur] + 1 < dp[cur * 2]:
dp[cur * 2] = dp[cur] + 1
heapq.heappush(que, cur * 2)
if cur + 3 <= n and dp[cur] + 1 < dp[... | Python | zaydzuhri_stack_edu_python |
function __init__ self batery_size=75
begin
set batery_size = batery_size
end function | def __init__(self,batery_size = 75):
self.batery_size = batery_size | Python | nomic_cornstack_python_v1 |
comment Gaussian distribution
function randsteps n
begin
import random
return sum list comprehension random choice tuple - 1 0 1 for i in range n
end function
comment Final counting with orinting. "n" for number of random steps, "m" for number of overall repiting
function distrib n m
begin
comment randsteps(n) from abo... | # Gaussian distribution
def randsteps(n):
import random
return sum([random.choice((-1,0,1)) for i in range(n)])
# Final counting with orinting. "n" for number of random steps, "m" for number of overall repiting
def distrib(n,m):
allr = [randsteps(n) for i in range(m)] #randsteps(n) from above
for i in r... | Python | zaydzuhri_stack_edu_python |
function setValue self value
begin
set exact_value = value
comment If a new min/max is necessary: Set it to twice the value, to give user leeway
if value > _max_value
begin
comment If the slider range is fixed: Set it to the maximum possible value
if fixed_range
begin
set value = call maximum
end
else
comment In the od... | def setValue(self, value):
self.exact_value = value
# If a new min/max is necessary: Set it to twice the value, to give user leeway
if value > self._max_value:
# If the slider range is fixed: Set it to the maximum possible value
if self.fixed_range:
value ... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
import keyboard
set spd = 0.5
set trn = 0.3
set mov = call Twist
set msg = string Segue a linha de jogos de computador, em tese: Movimentos direcionais: w: vai para frente s: para tras a: esquerda d: direita space_bar: sobe ctrl: desce Movime... | #!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
import keyboard
spd = 0.5
trn = 0.3
mov = Twist()
msg="""
Segue a linha de jogos de computador, em tese:
Movimentos direcionais:
w: vai para frente
s: para tras
a: esquerda
d: direita
space_bar: sobe... | Python | zaydzuhri_stack_edu_python |
import logging
set logger = call getLogger string Training
call setLevel INFO
call basicConfig format=string %(levelname)s %(asctime)s : %(message)s level=INFO
import ipdb as pdb
from ipdb import slaunch_ipdb_on_exception
import pandas as pd
import numpy as np
from rouge import Rouge
from text_encoders import NNLM , Wo... | import logging
logger = logging.getLogger("Training")
logger.setLevel(logging.INFO)
logging.basicConfig(format='%(levelname)s %(asctime)s : %(message)s', level=logging.INFO)
import ipdb as pdb
from ipdb import slaunch_ipdb_on_exception
import pandas as pd
import numpy as np
from rouge import Rouge
from text_encoders im... | Python | zaydzuhri_stack_edu_python |
function _has_vowel self word
begin
set vowel_pattern = compile string [aeiouR]
return boolean search call _capitalize_syllabic_r word
end function | def _has_vowel(self, word):
vowel_pattern = re.compile('[aeiouR]')
return bool(vowel_pattern.search(self._capitalize_syllabic_r(word))) | Python | nomic_cornstack_python_v1 |
from set1.fixed_xor import fixed_xor
function test_challenge_should_match
begin
comment GIVEN
set hex_str_1 = string 1c0111001f010100061a024b53535009181c
set hex_str_2 = string 686974207468652062756c6c277320657965
comment WHEN
set actual = call fixed_xor hex_str_1 hex_str_2
comment THEN
assert actual == string 74686520... | from set1.fixed_xor import fixed_xor
def test_challenge_should_match():
# GIVEN
hex_str_1 = '1c0111001f010100061a024b53535009181c'
hex_str_2 = '686974207468652062756c6c277320657965'
# WHEN
actual = fixed_xor(hex_str_1, hex_str_2)
# THEN
assert actual == '746865206b696420646f6e277420706c6... | Python | zaydzuhri_stack_edu_python |
from graphics import *
from a_star import *
function paint matriz inicio final bloques
begin
set win = call GraphWin string Floor 500 500
call setCoords 0.0 0.0 length matriz length matriz
call setBackground string white
comment pinta un grid inicial
for x in range length matriz
begin
for y in range length matriz at 0
... | from graphics import *
from a_star import *
def paint(matriz, inicio, final,bloques):
win = GraphWin('Floor', 500, 500)
win.setCoords(0.0, 0.0, len(matriz), len(matriz))
win.setBackground("white")
#pinta un grid inicial
for x in range(len(matriz)):
for y in range(len(matriz[0])):
square = Rectangle(Poi... | Python | zaydzuhri_stack_edu_python |
comment -*- coding:utf-8 -*-
import json
from datetime import date
from marshmallow import fields , ValidationError
from werkzeug import datastructures
class FormDict extends Field
begin
function _deserialize self value attr data
begin
string 從 Form 的 location 反序列化 json 格式的資料為字典
if value is none
begin
return none
end
i... | # -*- coding:utf-8 -*-
import json
from datetime import date
from marshmallow import fields, ValidationError
from werkzeug import datastructures
class FormDict(fields.Field):
def _deserialize(self, value, attr, data):
"""
從 Form 的 location 反序列化 json 格式的資料為字典
"""
if value is None:
... | Python | zaydzuhri_stack_edu_python |
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