SYMBOL INDEX (32 symbols across 8 files)

FILE: demos/cartpole.py
  function simulate_single (line 20) | def simulate_single(weights):
  function simulate (line 34) | def simulate(batch_weights):

FILE: demos/max_ent_interference.py
  function fun (line 20) | def fun(x):

FILE: demos/max_var_interference.py
  function fun (line 18) | def fun(x):

FILE: demos/standard_interference.py
  function fun (line 17) | def fun(x):

FILE: demos/standard_quadratic.py
  function fun (line 17) | def fun(x):

FILE: evograd/distributions.py
  class NormalProbRatio (line 17) | class NormalProbRatio(torch.autograd.Function):
    method forward (line 19) | def forward(ctx, mu, sigma, descriptors, decode_fn):
    method backward (line 29) | def backward(ctx, grad_output):
  class MixNormalProbRatio (line 36) | class MixNormalProbRatio(torch.autograd.Function):
    method forward (line 38) | def forward(ctx, mus, sigma, descriptors, decode_fn):
    method backward (line 48) | def backward(ctx, grad_output):
  class Distribution (line 74) | class Distribution:
    method __init__ (line 75) | def __init__(self, device, random_state=None):
  class Normal (line 82) | class Normal(Distribution):
    method __init__ (line 83) | def __init__(self, mu, sigma, random_state=None):
    method ratio (line 92) | def ratio(self, descriptors):
    method sample (line 95) | def sample(self, n, encode=False):
    method decode (line 110) | def decode(self, descriptor):
  class PairedNormal (line 120) | class PairedNormal(Normal):
    method sample (line 121) | def sample(self, n, encode=False):
  class MixNormal (line 140) | class MixNormal(Distribution):
    method __init__ (line 141) | def __init__(self, mus, sigma, random_state=None):
    method ratio (line 150) | def ratio(self, descriptor):
    method sample (line 153) | def sample(self, n, encode=False):
    method decode (line 171) | def decode(self, descriptor):

FILE: evograd/expectation.py
  function unsqueeze_as (line 14) | def unsqueeze_as(x, y):
  function expectation (line 21) | def expectation(vals, sample, p):

FILE: evograd/noise.py
  class SharedNoiseTable (line 21) | class SharedNoiseTable:
    method __init__ (line 22) | def __init__(self):
    method get (line 38) | def get(self, i, dim):
    method sample_index (line 41) | def sample_index(self, stream, dim):