code stringlengths 10 2.58M | original_code stringlengths 3 3.18M | original_language stringclasses 1
value | source stringclasses 7
values |
|---|---|---|---|
function main
begin
if length argv < 4
begin
print string usage: %s <address 1> <address 2> <address 3> <address 4> % argv at 0
return 1
end
set tv1 = call Mdc argv at 1
set tv2 = call Mdc argv at 2
set tv3 = call Mdc argv at 3
set tv4 = call Mdc argv at 4
call connect
call connect
call connect
call connect
call video_... | def main():
if len(sys.argv) < 4:
print("usage: %s <address 1> <address 2> <address 3> <address 4>" % (
sys.argv[0]
))
return 1
tv1 = Mdc(sys.argv[1])
tv2 = Mdc(sys.argv[2])
tv3 = Mdc(sys.argv[3])
tv4 = Mdc(sys.argv[4])
tv1.connect()
tv2.connect()
tv3.... | Python | nomic_cornstack_python_v1 |
function run self verbose=false
begin
set step_num = 0
while won == 0
begin
if length valid_moves == 0
begin
return
end
set status = step self
if verbose and step_num % 2 == 1
begin
print call table
end
if status != INVALID_MOVE
begin
set step_num = step_num + 1
end
end
print string Player { call remap_char won } won!
... | def run(self, verbose=False):
step_num = 0
while self.won == 0:
if len(self.board.valid_moves) == 0:
return
status = self.step()
if verbose and step_num % 2 == 1:
print(self.board.table())
if status != board.Board.INVALID_MO... | Python | nomic_cornstack_python_v1 |
function y self
begin
return self at 1
end function | def y(self):
return self[1] | Python | nomic_cornstack_python_v1 |
function loads self data raw=false nonce=none
begin
set data = call decrypt data
comment simple integrity check to verify that we got meaningful data
if not starts with data PICKLE_PAD
begin
return dict
end
set data = data at slice length PICKLE_PAD : :
if nonce
begin
set ret_nonce = decode data at slice : 32 :
set... | def loads(self, data, raw=False, nonce=None):
data = self.decrypt(data)
# simple integrity check to verify that we got meaningful data
if not data.startswith(self.PICKLE_PAD):
return {}
data = data[len(self.PICKLE_PAD) :]
if nonce:
ret_nonce = data[:32].de... | Python | nomic_cornstack_python_v1 |
function new_file self
begin
set filename = call getSaveFileName none string Title string string TXT (*.txt)
if filename at 0
begin
set currentfile = open filename at 0 string w
set tuple base_name ext = call splitext filename at 0
call setText filename at 0
end
end function | def new_file(self):
self.filename = QFileDialog.getSaveFileName(
None, 'Title', '', 'TXT (*.txt)'
)
if self.filename[0]:
self.currentfile = open(self.filename[0], 'w')
(self.base_name, self.ext) = os.path.splitext(self.filename[0])
... | Python | nomic_cornstack_python_v1 |
import os
from sklearn.metrics import roc_curve , auc , average_precision_score , f1_score
from scipy.optimize import brentq
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt
from matplotlib import rc
import numpy as np
function evaluate labels scores metric=string roc save_to=string
begin
if metri... | import os
from sklearn.metrics import roc_curve, auc, average_precision_score, f1_score
from scipy.optimize import brentq
from scipy.interpolate import interp1d
import matplotlib.pyplot as plt
from matplotlib import rc
import numpy as np
def evaluate(labels, scores, metric='roc',save_to=''):
if metric == 'roc':
... | Python | zaydzuhri_stack_edu_python |
function posterior_predictive_to_xarray self
begin
string Convert posterior_predictive samples to xarray.
set posterior = posterior
set posterior_model = posterior_model
set posterior_predictive = posterior_predictive
set data = call get_draws_stan3 posterior model=posterior_model variables=posterior_predictive
return ... | def posterior_predictive_to_xarray(self):
"""Convert posterior_predictive samples to xarray."""
posterior = self.posterior
posterior_model = self.posterior_model
posterior_predictive = self.posterior_predictive
data = get_draws_stan3(posterior, model=posterior_model, variabl... | Python | jtatman_500k |
function answer_call
begin
comment Start our TwiML response
set resp = call VoiceResponse
set callednumber = values at string Called
if string 2274 in callednumber
begin
call say string Matched! voice=string alice
end
else
begin
comment Read a message aloud to the caller
call say string Thank you for calling! Have a gr... | def answer_call():
# Start our TwiML response
resp = VoiceResponse()
callednumber = request.values['Called']
if "2274" in callednumber:
resp.say('Matched!', voice='alice')
else:
# Read a message aloud to the caller
resp.say("Thank you for calling! Have a great day.", voice='... | Python | nomic_cornstack_python_v1 |
function apply_filters_to_fields fields filters_by_idx=dict verbose=true
begin
for idx in keys filters_by_idx
begin
if string fields at idx != filters_by_idx at idx
begin
return false
end
end
comment If we didn't fail a filter then the data look OK; return True
comment Also return True if an empty filters_by_idx dict ... | def apply_filters_to_fields(fields,filters_by_idx={},verbose=True):
for idx in filters_by_idx.keys():
if str(fields[idx]) != filters_by_idx[idx]:
return False
#If we didn't fail a filter then the data look OK; return True
#Also return True if an empty filters_by_idx dict was specifi... | Python | nomic_cornstack_python_v1 |
from itertools import combinations , permutations
for _ in call xrange integer call raw_input
begin
set s = call raw_input
set p = list set generator expression join string i for i in permutations s 2
end | from itertools import combinations,permutations
for _ in xrange(int(raw_input())):
s=raw_input()
p=list(set("".join(i) for i in permutations(s,2))) | Python | zaydzuhri_stack_edu_python |
function configs self
begin
return _configs
end function | def configs(self):
return self._configs | Python | nomic_cornstack_python_v1 |
function streaming_mean_cosine_distance predictions labels dim weights=none metrics_collections=none updates_collections=none name=none
begin
set tuple predictions labels = call remove_squeezable_dimensions predictions labels
call assert_is_compatible_with call get_shape
set radial_diffs = call mul predictions labels
s... | def streaming_mean_cosine_distance(predictions, labels, dim, weights=None,
metrics_collections=None,
updates_collections=None,
name=None):
predictions, labels = metric_ops_util.remove_squeezable_dimensions(
... | Python | nomic_cornstack_python_v1 |
comment sorting test script
comment logged in as "test2@test.com" "test"
comment starting at home screen
call click string 1415332642234.png
if exists string 1415332705007.png
begin
print string Sorted Z-A successfully
end
else
begin
print string ERROR: Sorted Z-A unsuccessfully
end
call click string 1415332759178.png
... | #sorting test script
#logged in as "test2@test.com" "test"
#starting at home screen
click("1415332642234.png")
if exists("1415332705007.png"):
print("Sorted Z-A successfully")
else:
print("ERROR: Sorted Z-A unsuccessfully")
click("1415332759178.png")
if exists("1415332804175.png"):
print("Sorted A-Z succes... | Python | zaydzuhri_stack_edu_python |
function getConfigFile self runArgs filepath
begin
comment Identify Hfor type
from AthenaCommon.Utils.unixtools import FindFile
import sys , os
try
begin
set file = open filepath
end
except any
begin
set currentError = string Exiting. Configuration file should be in + string filepath
error currentError
exit 0
end
comme... | def getConfigFile(self, runArgs, filepath):
#Identify Hfor type
from AthenaCommon.Utils.unixtools import FindFile
import sys, os
try:
self.file = open(filepath)
except:
currentError = "Exiting. Configuration file should be in "+str(filepath)
... | Python | nomic_cornstack_python_v1 |
function task_six fnam
begin
set tuple head data = read csv fnam
set cols = length head
comment get length of longest fields in each column
set l = list comprehension 0 for i in head
for val in data
begin
for tuple i v in enumerate l
begin
if length val at i > v
begin
set l at i = length val at i
end
end
end
comment cr... | def task_six(fnam):
head,data=read_csv(fnam)
cols=len(head)
# get length of longest fields in each column
l=[0 for i in head]
for val in data:
for i,v in enumerate(l):
if len(val[i]) > v:
l[i]=len(val[i])
# create formats for each column
colspace=3
... | Python | nomic_cornstack_python_v1 |
function get_volumes self references=none authorization=none x_request_id=none destroyed=none filter=none ids=none limit=none names=none offset=none sort=none total_item_count=none total_only=none async_req=false _return_http_data_only=false _preload_content=true _request_timeout=none
begin
comment type: List[models.Re... | def get_volumes(
self,
references=None, # type: List[models.ReferenceType]
authorization=None, # type: str
x_request_id=None, # type: str
destroyed=None, # type: bool
filter=None, # type: str
ids=None, # type: List[str]
limit=None, # type: int
... | Python | nomic_cornstack_python_v1 |
function extraction_type_check sample_sheet
begin
comment Initialise variables
set contains_rna_extraction = false
set contains_dna_extraction = false
comment Crawl over bio entities until test_sample
for tuple _ entity in items bio_entities
begin
for tuple _ bio_sample in items bio_samples
begin
for tuple _ test_sampl... | def extraction_type_check(sample_sheet):
# Initialise variables
contains_rna_extraction = False
contains_dna_extraction = False
# Crawl over bio entities until test_sample
for _, entity in sample_sheet.bio_entities.items():
for _, bio_sample in entity.bio_samples.ite... | Python | nomic_cornstack_python_v1 |
comment coding:utf8
class Solution
begin
function reverse_string self s
begin
string :param s: List[str] :return: None
set n = length s
for i in range n // 2
begin
set tuple s at i s at n - 1 - i = tuple s at n - 1 - i s at i
end
end function
end class
function main
begin
set s = list string h string e string l string ... | # coding:utf8
class Solution:
def reverse_string(self, s):
"""
:param s: List[str]
:return: None
"""
n = len(s)
for i in range(n // 2):
s[i], s[n - 1 - i] = s[n - 1 - i], s[i]
def main():
s = ["h", "e", "l", "l", "o"]
Solution().reverse_string(... | Python | zaydzuhri_stack_edu_python |
function current self
begin
pass
end function | def current(self):
pass | Python | nomic_cornstack_python_v1 |
function icdf_choose_exp self
begin
set exp_icdf_array = exp - icdf_array
set rand_num = random
set q = rand_num * CDF_RES
comment We take the integer part of q because we require i to be an index.
comment By taking away the integer part of q we are left with a random
comment number i, on the unit interval that is used... | def icdf_choose_exp(self) -> float:
exp_icdf_array = np.exp(-self.icdf_array)
rand_num = random.random()
q = rand_num * self.CDF_RES
# We take the integer part of q because we require i to be an index.
# By taking away the integer part of q we are left with a random
# nu... | Python | nomic_cornstack_python_v1 |
function start self timeout=15.0
begin
assert _pid is none
set _endpoint = string http://%s:%d % tuple _host _port
set _rpc = call RPCClient _endpoint
set cmd = list _executable string -v string --host _host string --port string _port string --noVMErrorsOnRPCResponse
if _blocktime is not none
begin
extend cmd list stri... | def start(self, timeout: float=15.0) -> None:
assert self._pid is None
self._endpoint = "http://%s:%d" % (self._host, self._port)
self._rpc = RPCClient(self._endpoint)
cmd = [
self._executable,
"-v",
"--host", self._host,
"--port", str(se... | Python | nomic_cornstack_python_v1 |
function get_train_test dataframe
begin
set x_data = list
set y_data = list
comment Separate features from the target
for row in values
begin
append x_data row at slice : - 1 :
append y_data row at - 1
end
set tuple x_train x_test y_train y_test = train test split x_data y_data random_state=1
return tuple array x_tr... | def get_train_test(dataframe: pd.DataFrame) -> tuple:
x_data = []
y_data = []
# Separate features from the target
for row in dataframe.values:
x_data.append(row[:-1])
y_data.append(row[-1])
x_train, x_test, y_train, y_test = train_test_split(x_data, y_data, random_state=1)
retu... | Python | nomic_cornstack_python_v1 |
function sample_without_replacement pool out
begin
comment We sample n_samples elements from the pool
set n_samples = shape at 0
set population_size = shape at 0
comment Initialize the pool
for i in range population_size
begin
set pool at i = i
end
for i in range n_samples
begin
set j = random integer population_size -... | def sample_without_replacement(pool, out):
# We sample n_samples elements from the pool
n_samples = out.shape[0]
population_size = pool.shape[0]
# Initialize the pool
for i in range(population_size):
pool[i] = i
for i in range(n_samples):
j = randint(population_size - i)
... | Python | nomic_cornstack_python_v1 |
import requests
import csv
from BeautifulSoup import BeautifulSoup
set list_of_rows = list
set intID = 1
comment while intID < 100000:
while intID < 200
begin
set url = string http://webcolourdata.com/profile/ + string intID
set response = get requests url
set html = content
set soup = call BeautifulSoup html
if find ... | import requests
import csv
from BeautifulSoup import BeautifulSoup
list_of_rows = []
intID = 1
# while intID < 100000:
while intID < 200:
url = 'http://webcolourdata.com/profile/' +str(intID)
response = requests.get(url)
html = response.content
soup = BeautifulSoup(html)
if soup.find("section", attrs={'class'... | Python | zaydzuhri_stack_edu_python |
function performGetValue self quant options=dict
begin
set qname = name
set params = call RFParameters
call sc5520a_uhfsFetchRfParameters _handle params
if qname == string Frequency
begin
return decimal frequency
end
else
if qname == string Amplitude
begin
return decimal power_level
end
else
if qname == string Output
b... | def performGetValue(self, quant, options={}):
qname = quant.name
params = RFParameters()
self._lib.sc5520a_uhfsFetchRfParameters(self._handle, params)
if qname == 'Frequency':
return float(params.frequency)
elif qname == 'Amplitude':
return float(params.po... | Python | nomic_cornstack_python_v1 |
function register_data_files self *files task=none run=none
begin
set files = list comprehension call Path f for f in files
for file in files
begin
if suffix not in DATA_EXTENSIONS
begin
raise call ValueError string Wrong file format of data { suffix } . Valid formats are { DATA_EXTENSIONS }
end
end
set key = string
i... | def register_data_files(self, *files, task=None, run=None):
files = [Path(f) for f in files]
for file in files:
if file.suffix not in DATA_EXTENSIONS:
raise ValueError(f'Wrong file format of data {file.suffix}. '
f'Valid formats are {DATA_EXT... | Python | nomic_cornstack_python_v1 |
function test_get_suggestion_compare_interest_suggestion self
begin
comment Client type Request
set client = call Client
comment Bob the social aware has no interests in common with Bob the artist
comment Bob the social aware selects a selectable item from page 1
post uri_add_selectable + token + string / content_type=... | def test_get_suggestion_compare_interest_suggestion(self):
# Client type Request
client = Client()
# Bob the social aware has no interests in common with Bob the artist
# Bob the social aware selects a selectable item from page 1
client.post(self.uri_add_selectable+self.bob_the_socialaware_twin_profile.token+... | Python | nomic_cornstack_python_v1 |
function test_post_overlapping_timespan_not_allowed_overlaps_exactly self
begin
set post_data = call _get_default_post_data
set response2 = post list_url HTTP_AUTHORIZATION=string Bearer %s % token format=string json data=post_data
assert equal status_code HTTP_201_CREATED
call assertOutOfHoursRotaCheckResponseKeys res... | def test_post_overlapping_timespan_not_allowed_overlaps_exactly(self):
post_data = self._get_default_post_data()
response2 = self.client.post(
self.list_url, HTTP_AUTHORIZATION="Bearer %s" % self.token, format="json", data=post_data
)
self.assertEqual(response2.status_code, ... | Python | nomic_cornstack_python_v1 |
function test_case_2 size
begin
set tuple a b = call createArray_2 size
set start = performance counter
call Gauss_2 a b
set end = performance counter
return end - start * 1000
end function | def test_case_2(size):
a, b = createArray_2(size)
start = time.perf_counter()
Gauss_2(a, b)
end = time.perf_counter()
return (end - start) * 1000 | Python | nomic_cornstack_python_v1 |
function user_profile
begin
if string username in session
begin
return call redirect string /profile/ + session at string username
end
return call redirect string /
end function | def user_profile() -> object:
if "username" in session:
return redirect("/profile/" + session["username"])
return redirect("/") | Python | nomic_cornstack_python_v1 |
import mysql.connector
from mysql.connector import errorcode
import datetime
function write_values category_name link created updated
begin
try
begin
set db_connection = call connect host=string 127.0.0.1 user=string root password=string root database=string carrefourdb
set cursor = call cursor
set add_category = strin... | import mysql.connector
from mysql.connector import errorcode
import datetime
def write_values(category_name, link, created, updated):
try:
db_connection = mysql.connector.connect(
host="127.0.0.1",
user="root",
password="root",
database='carrefourdb'
... | Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Wed Jun 10 11:07:29 2020 @author: David Palecek
from exp import Exp
set __all__ = list string Static
class Static extends Exp
begin
string Static experiments class
function __init__ self dir_save
begin
call __init__ dir_save
set info = string Class instance of { __class__... | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 10 11:07:29 2020
@author: David Palecek
"""
from .exp import Exp
__all__ = ['Static']
class Static(Exp):
'''
Static experiments class
'''
def __init__(self, dir_save):
super().__init__(dir_save)
self.info = f'Class instance of {self.__cla... | Python | zaydzuhri_stack_edu_python |
import json
import os
import glob
import cv2
set annotations_info = dict string images list ; string annotations list ; string categories list
set CLASS_NAME = tuple string __background__ string plane string baseball-diamond string bridge string ground-track-field string small-vehicle string large-vehicle string shi... | import json
import os
import glob
import cv2
annotations_info = {'images': [], 'annotations': [], 'categories': []}
CLASS_NAME = ('__background__','plane', 'baseball-diamond', 'bridge', 'ground-track-field',
'small-vehicle', 'large-vehicle', 'ship',
'tennis-court', 'basketball-court',... | Python | jtatman_500k |
function test self pix_ind=none show_plots=true
begin
if mpi_rank > 0
begin
return
end
if pix_ind is none
begin
set pix_ind = random integer 0 high=shape at 0
end
set other_params = copy parms_dict
comment removing duplicates:
set _ = pop other_params string freq
return call bayesian_inference_on_period h5_main at pix_... | def test(self, pix_ind=None, show_plots=True):
if self.mpi_rank > 0:
return
if pix_ind is None:
pix_ind = np.random.randint(0, high=self.h5_main.shape[0])
other_params = self.parms_dict.copy()
# removing duplicates:
_ = other_params.pop('freq')
r... | Python | nomic_cornstack_python_v1 |
function skip_column self column_property
begin
set column = columns at 0
if not include_primary_keys and primary_key or foreign_keys
begin
return true
end
if _is_polymorphic_discriminator
begin
return true
end
if not include_datetimes_with_default and is instance type DateTime and default
begin
return true
end
if only... | def skip_column(self, column_property):
column = column_property.columns[0]
if (not self.meta.include_primary_keys and column.primary_key or
column.foreign_keys):
return True
if column_property._is_polymorphic_discriminator:
return True
if (not s... | Python | nomic_cornstack_python_v1 |
function JENKINS self value
begin
import logging
set msg = if expression is instance value tuple then value at 0 else value
set level = if expression is instance value tuple and length value > 1 and is instance value at 1 int then value at 1 else none
set secured = if expression is instance value tuple and length value... | def JENKINS(self, value):
import logging
msg = value[0] if isinstance(value, tuple) else value
level = value[1] if isinstance(value, tuple) and len(value) > 1 and isinstance(value[1], int) else None
secured = value[2] if isinstance(value, tuple) and len(value) > 2 and isinstance(value[2]... | Python | nomic_cornstack_python_v1 |
function delete_request self endpoint params expected_http_codes=none extra_headers=none
begin
return call _do_request endpoint params string delete expected_http_codes extra_headers
end function | def delete_request(self, endpoint, params, expected_http_codes=None, extra_headers=None):
return self._do_request(
endpoint,
params,
'delete',
expected_http_codes,
extra_headers,
) | Python | nomic_cornstack_python_v1 |
comment =============================================================================
comment IMPORTS
comment =============================================================================
import torch
from espaloma.nn.readout.base_readout import BaseReadout
comment ======================================================... | # =============================================================================
# IMPORTS
# =============================================================================
import torch
from espaloma.nn.readout.base_readout import BaseReadout
# ===========================================================================... | Python | jtatman_500k |
import operacoes_carrinho
function por_album conn cur id nome
begin
print string
print string Usuario: nome
print string ORDERNAR POR ÁLBUM
comment imprime albuns por ordem ascendente
execute cur string SELECT id, nome FROM album ORDER BY nome ASC
for linha in call fetchall
begin
print string ID: linha at 0 string | No... | import operacoes_carrinho
def por_album(conn,cur, id, nome):
print('\n')
print('Usuario:', nome)
print('ORDERNAR POR ÁLBUM')
# imprime albuns por ordem ascendente
cur.execute("SELECT id, nome FROM album ORDER BY nome ASC")
for linha in cur.fetchall():
print("ID:", linha[0], " | Nome:",... | Python | zaydzuhri_stack_edu_python |
comment Python Loops 3
comment For Loop
comment The range() Function
for x in range 6
begin
print x
end
comment Using the start parameter
for x in range 2 6
begin
print x
end
comment Increment the sequence with 3
for x in range 5 40 5
begin
print x
end
comment Else in For Loop
for x in range 4
begin
print x
end
for els... | # Python Loops 3
# For Loop
#The range() Function
for x in range(6):
print(x)
#Using the start parameter
for x in range (2, 6):
print (x)
#Increment the sequence with 3
for x in range (5, 40, 5):
print(x)
#Else in For Loop
for x in range(4):
print(x)
else:
print("final... | Python | zaydzuhri_stack_edu_python |
function daemon_factory path
begin
string Create a closure which creates a running daemon. We need to create a closure that contains the correct path the daemon should be started with. This is needed as the `Daemonize` library requires a callable function for daemonization and doesn't accept any arguments. This functio... | def daemon_factory(path):
"""Create a closure which creates a running daemon.
We need to create a closure that contains the correct path the daemon should
be started with. This is needed as the `Daemonize` library
requires a callable function for daemonization and doesn't accept any arguments.
This... | Python | jtatman_500k |
class Graph
begin
function __init__ self graph_dict=dict
begin
set _graph_dict = graph_dict
end function
function add_vertex self vertex
begin
if vertex not in _graph_dict
begin
set _graph_dict at vertex = list
end
end function
function add_edge self edge
begin
set tuple vertex1 vertex2 = edge
if vertex1 in _graph_dic... | class Graph:
def __init__(self,graph_dict = {}):
self._graph_dict = graph_dict
def add_vertex(self,vertex):
if vertex not in self._graph_dict:
self._graph_dict[vertex] = []
def add_edge(self,edge):
(vertex1,vertex2) = edg... | Python | zaydzuhri_stack_edu_python |
function _stepadjust self m
begin
comment Compute values under Laplace approximation. This is the policy
comment that the previous samples were actually drawn from under the
comment dynamics that were estimated from the previous samples.
set tuple prev_laplace_obj prev_laplace_kl = call _estimate_cost traj_distr traj_i... | def _stepadjust(self, m):
# Compute values under Laplace approximation. This is the policy
# that the previous samples were actually drawn from under the
# dynamics that were estimated from the previous samples.
prev_laplace_obj, prev_laplace_kl = self._estimate_cost(
self.p... | Python | nomic_cornstack_python_v1 |
function delete_file_systems_policies self members=none policies=none member_ids=none member_names=none policy_ids=none policy_names=none async_req=false _return_http_data_only=false _preload_content=true _request_timeout=none
begin
comment type: List[models.ReferenceType]
comment type: List[models.ReferenceType]
comme... | def delete_file_systems_policies(
self,
members=None, # type: List[models.ReferenceType]
policies=None, # type: List[models.ReferenceType]
member_ids=None, # type: List[str]
member_names=None, # type: List[str]
policy_ids=None, # type: List[str]
policy_names=... | Python | nomic_cornstack_python_v1 |
set A = integer input
set B = integer input
set N = integer input
set costOfOne = A * 100 + B
set totalCost = costOfOne * N
set rub = totalCost // 100
set kop = totalCost % 100
print rub kop | A = int(input())
B = int(input())
N = int(input())
costOfOne = A * 100 + B
totalCost = costOfOne * N
rub = totalCost // 100
kop = totalCost % 100
print(rub, kop)
| Python | zaydzuhri_stack_edu_python |
comment -*- coding: utf-8 -*-
string Created on Sun Nov 30 11:41:23 2014 @author: Philip
figure
set abs_diff1 = absolute diff_th1 at tuple slice : : 2
set abs_diff2 = absolute diff_th2 at tuple slice : : 2
set max_diff = max call nanmax abs_diff1 call nanmax abs_diff2
set hist_range = tuple - 1 * max_diff max_dif... | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 30 11:41:23 2014
@author: Philip
"""
plt.figure()
abs_diff1=np.abs(diff_th1[:,2])
abs_diff2=np.abs(diff_th2[:,2])
max_diff=max(np.nanmax(abs_diff1), np.nanmax(abs_diff2))
hist_range=(-1*max_diff, max_diff)
n, bins, patches = plt.hist(diff_th1[:,2], binNum, range=hist_ran... | Python | zaydzuhri_stack_edu_python |
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import CategoricalNB
from sklearn.preprocessing import Normalizer
from sklearn.pipeline import Pipelin... | import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import CategoricalNB
from sklearn.preprocessing import Normalizer
from sklearn.pipeline import Pipelin... | Python | zaydzuhri_stack_edu_python |
function testcrcpoly
begin
for a in tuple 69665 98309 66953 22900171 25578747 1613806023 4374732215
begin
set a = call BinaryPolynomial a
for p in call genprimes
begin
print boolean a % p end=string
if call order * 2 > call order
begin
break
end
end
print
end
end function | def testcrcpoly():
for a in (0x11021, 0x18005, 0x10589, 0x15D6DCB, 0x1864CFB, 0x6030B9C7, 0x104C11DB7):
a = BinaryPolynomial(a)
for p in genprimes():
print(bool(a%p), end=" ")
if p.order()*2>a.order():
break
print() | Python | nomic_cornstack_python_v1 |
function classify self a
begin
assert type a is HandwrittenData
comment key: formula_id, value: (dtw, Handwriting) (lowest prefered)
set best_by_symbol = dict
for dataset in datasets
begin
set b = dataset at string handwriting
set d = call handwritten_data_greedy_matching_distance a b
if d < threshold
begin
if formula... | def classify(self, a):
assert type(a) is HandwrittenData.HandwrittenData
# key: formula_id, value: (dtw, Handwriting) (lowest prefered)
best_by_symbol = {}
for dataset in self.datasets:
b = dataset['handwriting']
d = distance_metric.handwritten_data_greedy_matc... | Python | nomic_cornstack_python_v1 |
while spam < 5
begin
print string Hello World!
set spam = spam + 1
end
comment --------------------
comment Programmer humor
set name = string
while name != string your name
begin
print string Please type your name.
set name = input
end
print string Thank you!
comment ---------------------
comment A break ceases the e... | while spam <5:
print('Hello World!')
spam = spam + 1
#--------------------
name = '' # Programmer humor
while name != 'your name':
print('Please type your name.')
name = input()
print('Thank you!')
#---------------------
# A break ... | Python | zaydzuhri_stack_edu_python |
comment 3shan ne3raf el most common question (including el user)
import pandas as pd
import numpy as np
import math
set data = read csv string sample.csv
function checkOtherUsers current_problem ids dataset
begin
set occurrence = 0
for user in ids
begin
set index = index at dataset at string user_id == user
set temp_us... | # 3shan ne3raf el most common question (including el user)
import pandas as pd
import numpy as np
import math
data = pd.read_csv("sample.csv")
def checkOtherUsers( current_problem, ids, dataset ):
occurrence = 0
for user in ids:
index = dataset.index[dataset['user_id'] == user]
temp_user = dataset.loc[index]
... | Python | zaydzuhri_stack_edu_python |
comment coding=UTF8
import sys
from converter_printer import ConverterPrinter
from query_loader import ConverterQueryLoader
from converter_reader import *
from converter_normalizer import ConverterNormalizer
from query_loader import Query
function download_data latitudeSouth longitudeWest latitudeNorth longitudeEast
be... | # coding=UTF8
import sys
from converter_printer import ConverterPrinter
from query_loader import ConverterQueryLoader
from converter_reader import *
from converter_normalizer import ConverterNormalizer
from query_loader import Query
def download_data(latitudeSouth, longitudeWest, latitudeNorth, longitudeEast):
que... | Python | zaydzuhri_stack_edu_python |
import math
comment T H E S P I C E M U S T F L O W
set m0 = integer input string Launch mass:
set mf = integer input string Dry mass:
set Ve = integer input string Exaust Velocity:
set Isp = integer input string Specific Impulse:
set fuelMass = m0 - mf
set Δv = Isp * 9.8 * log decimal m0 / mf
print string Δv:
print Δv... | import math
#T H E S P I C E M U S T F L O W
m0 = int(input("\n \n Launch mass: "))
mf = int(input("Dry mass: "))
Ve = int(input("Exaust Velocity: "))
Isp = int(input("Specific Impulse: "))
fuelMass = m0 - mf
Δv = Isp*9.8*math.log(float(m0/mf))
print("Δv:")
print(Δv)
print("Fuel Mass:")
print(fuel... | Python | zaydzuhri_stack_edu_python |
function create cls **dictionary
begin
if __name__ == string Rectangle
begin
set temp = call cls width=6 height=9
end
if __name__ == string Square
begin
set temp = call cls size=69
end
update temp keyword dictionary
return temp
end function | def create(cls, **dictionary):
if cls.__name__ == "Rectangle":
temp = cls(width=6, height=9)
if cls.__name__ == "Square":
temp = cls(size=69)
temp.update(**dictionary)
return temp | Python | nomic_cornstack_python_v1 |
function _displayThemeStateChanged self p_theme p_state
begin
set l_titleMsg = string Status Thema Gewijzigd
set l_msg = string Status is nu %s voor thema %s % tuple p_state string p_theme
call information self l_titleMsg l_msg
end function | def _displayThemeStateChanged(self, p_theme, p_state):
l_titleMsg = "Status Thema Gewijzigd"
l_msg = "Status is nu %s voor thema %s" % (p_state, str(p_theme))
QMessageBox.information(self, l_titleMsg, l_msg) | Python | nomic_cornstack_python_v1 |
from game_engine import game_engine
function move board i player
begin
if board at i == 0
begin
set board at i = player
end
return board
end function
function rep v
begin
if v == 0
begin
return string
end
else
if v == 1
begin
return string X
end
else
begin
return string 0
end
end function
function draw_line one two th... | from game_engine import game_engine
def move(board, i, player):
if board[i] == 0:
board[i] = player
return board
def rep(v):
if v == 0:
return " "
elif v == 1:
return "X"
else:
return "0"
def draw_line(one, two, three):
print(" " + rep(one) + " | " + rep(two) + " | " + rep(three))
def draw_board(boa... | Python | zaydzuhri_stack_edu_python |
function update_triples self graph_type turtle commit_msg
begin
comment TODO: make triples works again
raise call InterfaceError string update_triples is temporary not avaliable in this version
call _check_connection
call _validate_graph_type graph_type
set params = dict string commit_info call _generate_commit commit_... | def update_triples(self, graph_type: str, turtle, commit_msg: str) -> None:
### TODO: make triples works again
raise InterfaceError(
"update_triples is temporary not avaliable in this version"
)
self._check_connection()
self._validate_graph_type(graph_type)
p... | Python | nomic_cornstack_python_v1 |
function multiply num1 num2
begin
comment Convert the input strings to lists of integers
set num1 = list comprehension integer digit for digit in num1
set num2 = list comprehension integer digit for digit in num2
comment Reverse the lists to start from the least significant digit
reverse num1
reverse num2
comment Initi... | def multiply(num1, num2):
# Convert the input strings to lists of integers
num1 = [int(digit) for digit in num1]
num2 = [int(digit) for digit in num2]
# Reverse the lists to start from the least significant digit
num1.reverse()
num2.reverse()
# Initialize a result list with zeros
resul... | Python | jtatman_500k |
function dbconfig user passwd dbname echo_i=false
begin
comment str1 = ('postgresql+pg8000://' + user +':' + passwd + '@switch-db2.erg.berkeley.edu:5433/'
comment + dbname + '?ssl=true&sslfactory=org.postgresql.ssl.NonValidatingFactory')
set str1 = string postgresql+psycopg2:// + user + string : + passwd + string @swit... | def dbconfig(user,passwd,dbname, echo_i=False):
#str1 = ('postgresql+pg8000://' + user +':' + passwd + '@switch-db2.erg.berkeley.edu:5433/'
# + dbname + '?ssl=true&sslfactory=org.postgresql.ssl.NonValidatingFactory')
str1 = ('postgresql+psycopg2://'+user+':'+ passwd + '@switch-db2.erg.berkeley.... | Python | nomic_cornstack_python_v1 |
class Map
begin
function __init__ self width height
begin
set width = width
set height = height
set walls = list
set weights = dict
end function
comment creates a list of the wall locations for the new Map
comment each item in the walls list is a tuple where the location tuple represents the index in the original arr... | class Map:
def __init__(self, width, height):
self.width = width
self.height = height
self.walls = []
self.weights = {}
# creates a list of the wall locations for the new Map
# each item in the walls list is a tuple where the location tuple represents the index in the origin... | Python | zaydzuhri_stack_edu_python |
import sys
set stdin = open string 11724.txt string r
string 무방향그래프의 연결요소 개수 출력 연결요소란 원그래프 G 가운데 노드와 엣지가 서로 겹치지 않는 부그래프이되, 부그래프 내 모든 노드쌍에 대해 경로가 존재하는 걸 가리킵니다.
string for문에 실행될 원소가 없는 경우 cnt도 더해지지 않는다. visited = [False]*100 cnt = 0 a = [] for i in a: print('---', i) print('----for문 안에 있어요-----') cnt += 1 if visited[a] =... | import sys
sys.stdin = open('11724.txt', 'r')
'''
무방향그래프의 연결요소 개수 출력
연결요소란
원그래프 G 가운데 노드와 엣지가 서로 겹치지 않는 부그래프이되, 부그래프 내 모든 노드쌍에 대해 경로가 존재하는 걸 가리킵니다.
'''
''' for문에 실행될 원소가 없는 경우 cnt도 더해지지 않는다.
visited = [False]*100
cnt = 0
a = []
for i in a:
print('---', i)
print('----for문 안에 있어요-----')
cnt += 1
if vi... | Python | zaydzuhri_stack_edu_python |
function _create_dataset self node
begin
set dataset_node = node
set creating = call create_dataset primary=uuid
comment Not sure about handling errors and timeout in the same errback.
comment How could I handle them differently?
function handle_timeout_and_errors failure
begin
call trap CancelledError
raise call Datas... | def _create_dataset(self, node):
self.dataset_node = node
creating = self.control_service.create_dataset(
primary=node.uuid)
# Not sure about handling errors and timeout in the same errback.
# How could I handle them differently?
def handle_timeout_and_errors(failure... | Python | nomic_cornstack_python_v1 |
function is_prime n
begin
if n < 2
begin
return false
end
for i in range 2 integer n ^ 0.5 + 1
begin
if n % i == 0
begin
return false
end
end
return true
end function
function sum_of_primes arr
begin
return sum generator expression num for num in arr if call is_prime num
end function
set arr = list 1 2 3 4 5 6 7 8 9 10... | def is_prime(n):
if n < 2:
return False
for i in range(2, int(n**0.5) + 1):
if n % i == 0:
return False
return True
def sum_of_primes(arr):
return sum(num for num in arr if is_prime(num))
arr = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print(sum_of_primes(arr)) # Output: 17 (2 + 3 ... | Python | jtatman_500k |
comment By: Justin Chase
comment Find Test Development/QA job parsing the postings on Coinality
import json
import urllib2
set keywords = list string test string Test string QA string qa string Qa
set coinalityurl = string https://coinality.com/api/jobs | #By: Justin Chase
#Find Test Development/QA job parsing the postings on Coinality
import json
import urllib2
keywords = ['test', 'Test', 'QA', 'qa', 'Qa']
coinalityurl = 'https://coinality.com/api/jobs'
| Python | zaydzuhri_stack_edu_python |
from crypto import *
function test_letter_frequencies
begin
set alphabet = string abcdefghijklmnopqrstuvwxyz
set alph_freqs = call letter_frequencies alphabet
for tuple i j in call iteritems
begin
assert j == 1.0 / 26.0
end
end function
function test_split
begin
set alphabet = string abcdefghijklmnopqrstuvwxyz
set empt... | from crypto import *
def test_letter_frequencies():
alphabet = "abcdefghijklmnopqrstuvwxyz"
alph_freqs = letter_frequencies(alphabet)
for i, j in alph_freqs.iteritems():
assert j == 1.0/26.0
def test_split():
alphabet = "abcdefghijklmnopqrstuvwxyz"
empty = ""
assert split(empty, 4) == ... | Python | zaydzuhri_stack_edu_python |
from array import array
from conjuntos import conjunto
from filas import fila
from pilhas import pilha
from listas import lista_ligada , lista_duplamente_ligada
from vetores import vetor
from mapas import mapa
from arvores import arvore , no_arvore_inteiro
comment vetor_inteiros = array('b', [1,2,3])
comment print(veto... | from array import array
from conjuntos import conjunto
from filas import fila
from pilhas import pilha
from listas import lista_ligada, lista_duplamente_ligada
from vetores import vetor
from mapas import mapa
from arvores import arvore, no_arvore_inteiro
#vetor_inteiros = array('b', [1,2,3])
#print(vetor_inteiros)
#v... | Python | zaydzuhri_stack_edu_python |
async function on_message_delete message
begin
if id in users
begin
pop users id none
end
end function | async def on_message_delete(message):
if message.author.id in users:
users.pop(message.author.id, None) | Python | nomic_cornstack_python_v1 |
class Student
begin
function __init__ self name
begin
set name = name
end function
end class
class Graduate extends Student
begin
function __init__ self name graduation_date
begin
call __init__ name
set graduation_date = graduation_date
end function
end class | class Student:
def __init__(self, name):
self.name = name
class Graduate(Student):
def __init__(self, name, graduation_date):
super().__init__(name)
self.graduation_date = graduation_date
| Python | zaydzuhri_stack_edu_python |
from tkinter import *
class Table
begin
string A simple class for representing data (tuples embedded in list) in the form of a table
function __init__ self parent data_list
begin
set parent = parent
set data_list = data_list
set total_rows = length data_list
set total_columns = length data_list at 0
call create_table
c... | from tkinter import *
class Table:
"""
A simple class for representing data (tuples embedded in list)
in the form of a table
"""
def __init__(self, parent, data_list: list):
self.parent = parent
self.data_list = data_list
self.total_rows = len(data_list)
self.total_... | Python | zaydzuhri_stack_edu_python |
function date_to_filename base_path raw_date_string
begin
set raw_date_string = raw_date_string at slice : - 1 :
set tuple month day year = split raw_date_string string /
set relative_path = format string {}/{}/{}.md year month day
return base_path / relative_path
end function | def date_to_filename(base_path, raw_date_string):
raw_date_string = raw_date_string[:-1]
month, day, year = raw_date_string.split("/")
relative_path = "{}/{}/{}.md".format(year, month, day)
return base_path / relative_path | Python | nomic_cornstack_python_v1 |
comment %%
import itertools
set num = list map int split input
set sum_list = list comprehension sum i for i in call combinations num 3
sort sum_list reverse=true
print sum_list at 2 | #%%
import itertools
num = list(map(int, input().split()))
sum_list = [sum(i) for i in itertools.combinations(num, 3)]
sum_list.sort(reverse=True)
print(sum_list[2]) | Python | zaydzuhri_stack_edu_python |
import numpy as np
function get_AP df qid k
begin
string df : pandas df with a 'score' column indicating a score based on some model return: Average Precision for a given query AP = sum(precision(i) * relevancy(i)) / (num of relevant docs)
comment consider only the relevant documents
set relevant_docs = df at df at str... | import numpy as np
def get_AP(df, qid, k):
"""
df : pandas df with a 'score' column indicating a score based on some model
return: Average Precision for a given query
AP = sum(precision(i) * relevancy(i)) / (num of relevant docs)
"""
# consider only the relevant documents
relevant_do... | Python | zaydzuhri_stack_edu_python |
from __future__ import print_function , unicode_literals
from PyInquirer import style_from_dict , Token , prompt
class AskOptions
begin
function __init__ self message choices name
begin
set message = message
set choices = choices
set name = name
set style = call style_from_dict dict Separator string #cc5454 ; QuestionM... | from __future__ import print_function, unicode_literals
from PyInquirer import style_from_dict, Token, prompt
class AskOptions:
def __init__(self, message, choices, name):
self.message = message
self.choices = choices
self.name = name
self.style = style_from_dict({
... | Python | zaydzuhri_stack_edu_python |
string 练习1： index.html 这个网页内容显示在浏览器上 要求，浏览器可以多次访问
from socket import *
comment 创建tcp套接字
set s = call socket
call bind tuple string 0.0.0.0 8888
call listen 5
while true
begin
set tuple c addr = call accept
comment 浏览器连接
print string Connect from addr
comment 接收的是http请求
set data = call recv 4096
comment 请求行
print split ... | """
练习1： index.html 这个网页内容显示在浏览器上
要求，浏览器可以多次访问
"""
from socket import *
# 创建tcp套接字
s = socket()
s.bind(("0.0.0.0",8888))
s.listen(5)
while True:
c,addr = s.accept()
print("Connect from",addr) # 浏览器连接
data = c.recv(4096) # 接收的是http请求
print(data.decode().split('\n')[0]) # 请求行
# http响应格式
f = o... | Python | zaydzuhri_stack_edu_python |
function evaluate self
begin
set batch_losses = list
set all_predictions = list
for tuple inputs targets in _test_data
begin
set inputs = tensor inputs
set targets = tensor targets at tuple slice : : _use_testmat_ixs
if use_cuda
begin
set inputs = cuda inputs
set targets = cuda targets
end
with no grad
begin
set p... | def evaluate(self):
batch_losses = []
all_predictions = []
for (inputs, targets) in self._test_data:
inputs = torch.Tensor(inputs)
targets = torch.Tensor(targets[:, self._use_testmat_ixs])
if self.use_cuda:
inputs = inputs.cuda()
... | Python | nomic_cornstack_python_v1 |
async function snowflake self ctx *snowflakes
begin
if not snowflakes
begin
raise call BadArgument string At least one snowflake must be provided.
end
set embed = call Embed colour=call blue
call set_author name=string Snowflake { string s at slice : length snowflakes ? 1 : } icon_url=string https://github.com/twitte... | async def snowflake(self, ctx: Context, *snowflakes: Snowflake) -> None:
if not snowflakes:
raise BadArgument("At least one snowflake must be provided.")
embed = Embed(colour=Colour.blue())
embed.set_author(
name=f"Snowflake{'s'[:len(snowflakes)^1]}", # Deals with plura... | Python | nomic_cornstack_python_v1 |
import os
import sys
set path = argv at 1
set oldWord = argv at 2
set newWord = argv at 3
set counter = 0
for file in list directory path
begin
if oldWord in call splitext file at 0
begin
set counter = counter + 1
rename path + string \ + file path + string \ + replace file oldWord newWord
end
end
print string counter ... | import os;
import sys;
path = sys.argv[1]
oldWord = sys.argv[2]
newWord = sys.argv[3]
counter = 0
for file in os.listdir(path):
if oldWord in os.path.splitext(file)[0]:
counter = counter + 1
os.rename(path + "\\"+file, path + "\\"+file.replace(oldWord, newWord))
print(str(counter)+ " files have ... | Python | zaydzuhri_stack_edu_python |
import streamlit as st
from PIL import Image
import os
call set_page_config page_title=string Art page_icon=string 🎭 layout=string centered initial_sidebar_state=string expanded
set app_state = call experimental_get_query_params
if string region in keys app_state
begin
set region = app_state at string region at 0
end
... | import streamlit as st
from PIL import Image
import os
st.set_page_config(
page_title="Art",
page_icon="🎭",
layout="centered",
initial_sidebar_state="expanded",
)
app_state = st.experimental_get_query_params()
if 'region' in app_state.keys():
region = app_state['region'][0]
else:
region = 'du... | Python | zaydzuhri_stack_edu_python |
function clean_names infile outfile=DEFAULT_OUTPUT col=string Name all=false
begin
print string Processing and exporting, please wait...
set ROMAN = list string I string II string III string IV string V string VI string VII string VIII string IX string X
if outfile
begin
try
begin
set of = open outfile string w
end
exc... | def clean_names(infile, outfile=DEFAULT_OUTPUT, col="Name", all=False):
print("Processing and exporting, please wait...")
ROMAN = ['I', 'II', 'III', 'IV', 'V', 'VI', 'VII', 'VIII', 'IX', 'X']
if outfile:
try:
of = open(outfile, 'w')
except:
outfile = None
with o... | Python | nomic_cornstack_python_v1 |
import Modules
call greeting string Ivan
comment Note: When using a function from a module,
comment use the syntax: module_name.function_name.
set age = person1 at string age
print age
comment Built-in Modules
import platform as pltf
set x = call system
comment Windows
print x
comment Using the dir() function
set y = d... | import Modules
Modules.greeting("Ivan")
#Note: When using a function from a module,
#use the syntax: module_name.function_name.
age = Modules.person1["age"]
print(age)
# Built-in Modules
import platform as pltf
x = pltf.system()
print(x) #Windows
# Using the dir() function
y = dir(pltf)
#prin... | Python | zaydzuhri_stack_edu_python |
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import gym
class QLearn
begin
function __init__ self net e=0.2 discount_rate=0.8 alpha=0.1
begin
set net = net
set actions = list 0.0 1.0
set e = e
set discount_rate = discount_rate
set alpha = alpha
set previous_state = none
end function... | import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import gym
class QLearn:
def __init__(self, net, e=0.2, discount_rate=0.8, alpha=0.1):
self.net = net
self.actions = [0.0, 1.0]
self.e = e
self.discount_rate = discount_rate
self.alpha = alpha... | Python | zaydzuhri_stack_edu_python |
function __init__ __self__ load_balancer_name resource_group_name backend_address_pool=none backend_port=none enable_floating_ip=none enable_tcp_reset=none frontend_ip_configuration=none frontend_port=none frontend_port_range_end=none frontend_port_range_start=none id=none idle_timeout_in_minutes=none inbound_nat_rule_... | def __init__(__self__, *,
load_balancer_name: pulumi.Input[str],
resource_group_name: pulumi.Input[str],
backend_address_pool: Optional[pulumi.Input['SubResourceArgs']] = None,
backend_port: Optional[pulumi.Input[int]] = None,
enable_f... | Python | nomic_cornstack_python_v1 |
import codecs
import logging
import numpy as np
import gensim
from sklearn.cluster import KMeans
import shelve
call basicConfig level=INFO format=string %(asctime)s %(levelname)s %(message)s
set logger = call getLogger __name__
class W2VEmbReader
begin
function __init__ self emb_path vocab emb_dim=none
begin
info strin... | import codecs
import logging
import numpy as np
import gensim
from sklearn.cluster import KMeans
import shelve
logging.basicConfig(level=logging.INFO,
format='%(asctime)s %(levelname)s %(message)s')
logger = logging.getLogger(__name__)
class W2VEmbReader:
def __init__(self, emb_path, vocab, ... | Python | zaydzuhri_stack_edu_python |
set name = string Eric
print upper name
print lower name
print title name | name ="Eric"
print(name.upper())
print(name.lower())
print(name.title())
| Python | zaydzuhri_stack_edu_python |
from nsepy import get_history
import pandas as pd
import matplotlib.pyplot as plt
import datetime as dt
set start_date = call datetime 2018 1 1
set end_date = today
comment define each and everything to perform the operation
function PPSR data
begin
set PP = call Series data at string High + data at string Low + data a... | from nsepy import get_history
import pandas as pd
import matplotlib.pyplot as plt
import datetime as dt
start_date = dt.datetime(2018, 1, 1)
end_date = dt.datetime.today()
#define each and everything to perform the operation
def PPSR(data):
PP = pd.Series((data['High'] + data['Low'] + data['Close']) / 3)
R1... | Python | zaydzuhri_stack_edu_python |
comment !/bin/python
from __future__ import print_function
import os
import sys
comment Complete the getTotalX function below.
function getTotalX a b
begin
comment 1. find LCM of a
comment 2. find GCD of b
comment 3. count the number of multiples of LCM that evenly divides the GCD
comment a_gcd = findGCD(a)
comment a_l... | #!/bin/python
from __future__ import print_function
import os
import sys
#
# Complete the getTotalX function below.
#
def getTotalX(a, b):
#
# 1. find LCM of a
# 2. find GCD of b
# 3. count the number of multiples of LCM that evenly divides the GCD
#
# a_gcd = findGCD(a)
# a_lcm = ... | Python | zaydzuhri_stack_edu_python |
function make_album name_musician name_album countyty=string
begin
set make_alb = dict string name_mus name_musician ; string name_alb name_album
if countyty
begin
set make_alb at string countyty = countyty
end
return make_alb
end function
set var1 = call make_album string one string two
print var1
set var2 = call make... | def make_album(name_musician, name_album, countyty=''):
make_alb = {'name_mus': name_musician, 'name_alb': name_album}
if countyty:
make_alb['countyty'] = countyty
return make_alb
var1 = make_album('one', 'two')
print(var1)
var2 = make_album('three', 'four')
print(var2)
var3 = make_album('five', 'se... | Python | zaydzuhri_stack_edu_python |
function from_int cls i
begin
string Create a :class:`FilePerms` object from an integer. >>> FilePerms.from_int(0o644) # note the leading zero-oh for octal FilePerms(user='rw', group='r', other='r')
set i = i ? FULL_PERMS
set key = tuple string string x string w string xw string r string rx string rw string rwx
set pa... | def from_int(cls, i):
"""Create a :class:`FilePerms` object from an integer.
>>> FilePerms.from_int(0o644) # note the leading zero-oh for octal
FilePerms(user='rw', group='r', other='r')
"""
i &= FULL_PERMS
key = ('', 'x', 'w', 'xw', 'r', 'rx', 'rw', 'rwx')
part... | Python | jtatman_500k |
while true
begin
set name = input string Enter name:
if name != string Narayan
begin
continue
print string Hello name string enter your password
end
set pwd = input string Enter password:
if pwd == string Family@143
begin
print string You entered coorect details
print string Congratulation name
break
end
end
print stri... | while True:
name = input("Enter name:")
if name != 'Narayan' :
continue
print("Hello",name,"enter your password")
pwd=input("Enter password:")
if pwd == 'Family@143':
print("You entered coorect details")
print("Congratulation",name)
break
print("Thank You")
| Python | zaydzuhri_stack_edu_python |
function del_selector *args
begin
return call del_selector *args
end function | def del_selector(*args):
return _ida_segment.del_selector(*args) | Python | nomic_cornstack_python_v1 |
for D in values
begin
set Q = list round 2 * C * D / H ^ 0.5
end
print Q sep=string , | for D in values:
Q = [round(((2*C*D)/H)**0.5)]
print(Q,sep=',')
| Python | zaydzuhri_stack_edu_python |
function set_property key value replace=false
begin
set lines = list
try
begin
with open local_properties string r as f
begin
for l in f
begin
set k = strip call partition string = at 0
if k == key
begin
if not replace
begin
return
end
else
begin
continue
end
end
append lines l
end
end
end
except any
begin
pass
end
wi... | def set_property(key, value, replace=False):
lines = [ ]
try:
with open(local_properties, "r") as f:
for l in f:
k = l.partition("=")[0].strip()
if k == key:
if not replace:
return
else:
... | Python | nomic_cornstack_python_v1 |
function linear_least_squares x y
begin
string Takes two arrays which pair into points (x,y) for linearly varying data. Uses linear regression to find the slope and y-intercept of the best fit line. Returns a 4-tuple (slope,intercept,slope uncertainty,intercept uncertainty)
import numpy as np
set x_avg = sum x * 1.0 / ... | def linear_least_squares(x,y):
""" Takes two arrays which pair into points (x,y) for linearly varying data.
Uses linear regression to find the slope and y-intercept of the best fit line.
Returns a 4-tuple (slope,intercept,slope uncertainty,intercept uncertainty)
"""
import numpy as np
... | Python | zaydzuhri_stack_edu_python |
function getProjectPlatforms self testprojectid devkey=none
begin
return call _query string tl.getProjectPlatforms devKey=devkey testprojectid=testprojectid
end function | def getProjectPlatforms(self, testprojectid, devkey=None):
return self._query("tl.getProjectPlatforms",\
devKey=devkey,\
testprojectid=testprojectid) | Python | nomic_cornstack_python_v1 |
comment !/bin/python3
import math
import os
import random
import re
import sys
comment Complete the 'timeConversion' function below.
comment The function is expected to return a STRING.
comment The function accepts STRING s as parameter.
function timeConversion s
begin
comment Write your code here
if ends with s string... | #!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'timeConversion' function below.
#
# The function is expected to return a STRING.
# The function accepts STRING s as parameter.
#
def timeConversion(s):
# Write your code here
if s.endswith("AM"):
if s.startswith... | Python | zaydzuhri_stack_edu_python |
function decode_labels mask num_images=1 num_classes=20
begin
set tuple h w c = shape
comment assert(n >= num_images), 'Batch size %d should be greater or equal than number of images to save %d.' % (n, num_images)
set outputs = zeros tuple h w 3 dtype=uint8
set img = call new string RGB tuple length mask at 0 length ma... | def decode_labels(mask, num_images=1, num_classes=20):
h, w, c = mask.shape
#assert(n >= num_images), 'Batch size %d should be greater or equal than number of images to save %d.' % (n, num_images)
outputs = np.zeros(( h, w, 3), dtype=np.uint8)
img = Image.new('RGB', (len(mask[0]), len(mask)))
pixel... | Python | nomic_cornstack_python_v1 |
comment !/usr/bin/python
string This is the code to accompany the Lesson 1 (Naive Bayes) mini-project. Use a Naive Bayes Classifier to identify emails by their authors authors and labels: Sara has label 0 Chris has label 1
import sys
from time import time
append path string ../tools/
from email_preprocess import prepro... | #!/usr/bin/python
"""
This is the code to accompany the Lesson 1 (Naive Bayes) mini-project.
Use a Naive Bayes Classifier to identify emails by their authors
authors and labels:
Sara has label 0
Chris has label 1
"""
import sys
from time import time
sys.path.append("../tools/")
from email_prepro... | Python | zaydzuhri_stack_edu_python |
function _pull self file_name names save=true force=false uri=string docker:// **kwargs
begin
string pull an image from a docker hub. This is a (less than ideal) workaround that actually does the following: - creates a sandbox folder - adds docker layers, metadata folder, and custom metadata to it - converts to a squas... | def _pull(self,
file_name,
names,
save=True,
force=False,
uri="docker://",
**kwargs):
'''pull an image from a docker hub. This is a (less than ideal) workaround
that actually does the following:
- creates a sandbox folder
- add... | Python | jtatman_500k |
from tkinter import *
from tkinter import ttk
from tkinter import filedialog
set gui = call Tk
call geometry string 400x400
title gui string FC
function getFolderPath
begin
set folder_selected = call askdirectory
set folder_selected
end function
function doStuff
begin
set folder = get folderPath
print string Doing stuf... | from tkinter import *
from tkinter import ttk
from tkinter import filedialog
gui = Tk()
gui.geometry("400x400")
gui.title("FC")
def getFolderPath():
folder_selected = filedialog.askdirectory()
folderPath.set(folder_selected)
def doStuff():
folder = folderPath.get()
print("Doing stuff with folder", f... | Python | zaydzuhri_stack_edu_python |
function min_noutput_items self
begin
return call turbo_encoder_sptr_min_noutput_items self
end function | def min_noutput_items(self):
return _my_lte_swig.turbo_encoder_sptr_min_noutput_items(self) | Python | nomic_cornstack_python_v1 |
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