mbillingr

"""
=============================================================
Compute PDC spectrum source space connectivity between labels
=============================================================

The connectivity is computed between 4 labels across the spectrum
between 5 and 40 Hz.
"""

# Authors: Alexandre Gramfort <[email protected]>

mbillingr

import numpy as np
from numpy.polynomial.legendre import legval
from numpy.linalg import solve


def calc_spline(cosang, stiffnes=4, num_lterms=50):
    """Calculate spherical spline between points on a sphere.
    
    Parameters

mbillingr

import numpy as np
from sklearn.lda import LDA
from sklearn.datasets import make_blobs
from sklearn.utils import check_array
from sklearn.svm import LinearSVC
import matplotlib.pyplot as plt


def new_transform(lda, X):
    X = check_array(X)

mbillingr

# Released under The MIT License (MIT)
# http://opensource.org/licenses/MIT
# Copyright (c) 2015 Martin Billinger

import numpy as np
import scipy as sp
import matplotlib
from matplotlib.colors import LinearSegmentedColormap

mbillingr

import numpy as np

from sklearn.decomposition import FastICA, PCA
from sklearn.cluster import AffinityPropagation
import matplotlib.pyplot as plt

from scot.eegtopo.topoplot import Topoplot
from scot.external.infomax_ import infomax
from scot.csp import csp

mbillingr

import numpy as np
import matplotlib.pyplot as plt
import seaborn

from scot.var import VAR
from scot.connectivity import connectivity


fs = 100
n = 10001

mbillingr

""" pyrx

Implementation of a minimal Forth interpreter/compiler on top of Python 3.6.
It is based on Rx [1] and should eventually support Retro [2].

Facts & Features:
    - New words are compiled to Python bytecode (subroutine threading model).
    - Dynamically typed: the only data type is the Python object.
    - Literals are evaluated as Python expressions.
    - The data stack is a global Python list.

mbillingr

import numpy as np
import scipy.stats as sps
        
    
def median_ci(x, alpha=0.95, method='approximate'):
    """confidence interval of the median"""
    n = len(x)
    y = np.sort(x)
    
    if method[0] == 'a':

mbillingr

from ctypes import CFUNCTYPE, c_double, c_int32, c_voidp, c_char

import llvmlite.binding as llvm
from llvmlite import ir


# Looping does not yet work... looks like I'll need to grok the phi instruction....

mbillingr

""" Python module for conveniently comparing the performance of
    different Python statements. 
    
    Features:
      - wraps `timeit`
      - one function call to compare multiple statements
      - textual and graphical representation of results
"""

import numpy as np