code
stringlengths
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6.57k
print([np.around(float(val)
cluster_EF_index_dict.get(zeolite)
make_parity_plot(np.array(np.reshape(FF_f, [-1, 3])
np.array(np.reshape(DFT_f, [-1, 3])
np.array(np.reshape(FF_f, [-1, 3])
np.array(np.reshape(DFT_f, [-1, 3])
open(output_path + '/forces_%s.pickle' % numb_skip, 'wb')
pickle.dump(force_dict, f)
time.perf_counter()
print(f"Program terminated in {toc - tic:0.4f} seconds")
func()
read(folder_path + '/%s.traj' % traj_name, '0::%s' % numb_skip)
read(folder_path + '/%s.traj' % traj_name, '-1')
DFT_E.append(atoms.calc.results['energy'])
np.exp(-(np.array(DFT_E)
len(traj[0])
plt.plot(DFT_E, weight, 'o')
plt.xlabel('DFT electronic energies (eV)
plt.ylabel('Boltzmann weighting', fontsize=16)
plt.show()
bitbay (Exchange)
describe(self)
self.deep_extend(super(bitbay, self)
describe()
fetch_balance(self, params={})
self.privatePostInfo()
list(self.currencies.keys()
range(0, len(codes)
self.account()
float(balance[id]['available'])
float(balance[id]['locked'])
self.sum(account['free'], account['used'])
self.parse_balance(result)
ExchangeError(self.id + ' empty balance response ' + self.json(response)
fetch_order_book(self, symbol, limit=None, params={})
self.market_id(symbol)
self.parse_order_book(orderbook)
fetch_ticker(self, symbol, params={})
self.market_id(symbol)
self.milliseconds()
self.safe_float(ticker, 'volume')
self.safe_float(ticker, 'vwap')
self.safe_float(ticker, 'last')
self.iso8601(timestamp)
self.safe_float(ticker, 'max')
self.safe_float(ticker, 'min')
self.safe_float(ticker, 'bid')
self.safe_float(ticker, 'ask')
self.safe_float(ticker, 'average')
parse_trade(self, trade, market)
self.iso8601(timestamp)
fetch_trades(self, symbol, since=None, limit=None, params={})
self.market(symbol)
self.parse_trades(response, market, since, limit)
create_order(self, symbol, type, side, amount, price=None, params={})
ExchangeError(self.id + ' allows limit orders only')
self.market(symbol)
cancel_order(self, id, symbol=None, params={})
self.privatePostCancel({'id': id})
is_fiat(self, currency)
withdraw(self, code, amount, address, tag=None, params={})
self.check_address(address)
self.load_markets()
self.currency(code)
self.is_fiat(code)
str(tag)
getattr(self, method)
self.extend(request, params)
sign(self, path, api='public', method='GET', params={}, headers=None, body=None)
self.omit(params, self.extract_params(path)
self.implode_params(path, params)
self.urlencode(query)
self.check_required_credentials()
self.nonce()
self.hmac(self.encode(body)
self.encode(self.secret)
handle_errors(self, httpCode, reason, url, method, headers, body)
isinstance(body, basestring)
len(body)
if (body[0] == '{')
or (body[0] == '[')
json.loads(body)
self.json(response)
ExchangeError(feedback)
StackedRNNCells(Layer)
keras.layers.LSTMCell(output_dim)
keras.layers.LSTMCell(output_dim)
keras.layers.LSTMCell(output_dim)
keras.Input((timesteps, input_dim)
keras.layers.RNN(cells)
__init__(self, cells, **kwargs)
hasattr(cell, 'call')
hasattr(cell, 'state_size')
super(StackedRNNCells, self)
__init__(**kwargs)
state_size(self)
hasattr(cell.state_size, '__len__')
list(cell.state_size)
state_size.append(cell.state_size)
tuple(state_size)