code
stringlengths
3
6.57k
range(n-1)
prog.h(input_qubit[1])
prog.x(input_qubit[3])
prog.h(input_qubit[2])
prog.h(input_qubit[0])
prog.cz(input_qubit[3],input_qubit[0])
prog.h(input_qubit[0])
prog.cx(input_qubit[3],input_qubit[0])
prog.z(input_qubit[3])
prog.cx(input_qubit[3],input_qubit[0])
prog.cx(input_qubit[3],input_qubit[0])
prog.h(input_qubit[3])
prog.z(input_qubit[3])
prog.h(input_qubit[0])
prog.y(input_qubit[2])
prog.y(input_qubit[2])
bitwise_xor(bitwise_dot(a, rep)
make_circuit(4,f)
BasicAer.get_backend('statevector_simulator')
execute(prog, backend=backend)
result()
get_statevector()
round(log2(len(info)
np.binary_repr(i, qubits)
round((info[i]*(info[i].conjugate()
range(2 ** qubits)
FakeVigo()
transpile(prog,backend,optimization_level=2)
open("../data/startQiskit_Class2296.csv","w")
print(info,file=writefile)
print("results end", file=writefile)
print(circuit1.__len__()
print(circuit1,file=writefile)
writefile.close()
block (starting from 0)
block (starting from 0)
chars (ResNet{18, 34})
basic_3d(64)
keras.backend.image_data_format()
chr(ord('a')
str(stage + 2)
f(inputs, **kwargs)
keras.layers.ZeroPadding3D(padding=1, name=f'padding{stage_char}{block_char}_branch2a')
layer_activation(outputs, activation, name=f'res{stage_char}{block_char}_branch2a_{activation}')
keras.layers.ZeroPadding3D(padding=1, name=f'padding{stage_char}{block_char}_branch2b')
ComplexConv3D(filters, (1, 1)
keras.layers.add([outputs, shortcut], name=f'res{stage_char}{block_char}')
layer_activation(outputs, activation, name=f'res{stage_char}{block_char}_{activation}')
block (starting from 0)
block (starting from 0)
chars (ResNet{101, 152, 200})
bottleneck_3d(64)
keras.backend.image_data_format()
chr(ord('a')
str(stage + 2)
f(inputs, **kwargs)
layer_activation(outputs, activation, name=f'res{stage_char}{block_char}_branch2a_{activation}')
keras.layers.ZeroPadding3D(padding=1, name=f'padding{stage_char}{block_char}_branch2b')
layer_activation(outputs, activation, name=f'res{stage_char}{block_char}_branch2b_{activation}')
ComplexConv3D(filters*4, 1, strides=(1, 1)
ComplexConv3D(filters*4, (1, 1)
keras.layers.add([outputs, shortcut], name=f'res{stage_char}{block_char}')
layer_activation(outputs, activation, name=f'res{stage_char}{block_char}_{activation}')
__init__(self, url)
requests.session()
create_service(self, name, upstream_url)
format(self._endpoint)
self._session.post(url, json=payload)
res.raise_for_status()
res.json()
create_route(self, service_name, paths)
format(self._endpoint, service_name)
self._session.post(url, json=payload)
res.raise_for_status()
res.json()
create_plugin(self, plugin_name, service_name, config)
format(self._endpoint, service_name)
self._session.post(url, json=payload)
res.raise_for_status()
print(res.text)
res.json()
delete_service(self, name)
self.get_routes(name)
self.delete_route(route)
format(self._endpoint, name)
self._session.delete(url)
raise_for_status()
delete_route(self, route_id)
format(self._endpoint, route_id)
self._session.delete(url)
raise_for_status()
get_routes(self, service_name)
format(self._endpoint, service_name)
self._session.get(url)
res.raise_for_status()
map(lambda x: x['id'], res.json()
HTTPConnection()
putrequest()
putheader()
endheaders()