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# This function respects the digits option

mkarray <- function(X, name) {
    cat(name); cat(" = np.array(["); cat(X, sep=","); cat("])")
    if (is.matrix(X)) {
    i <- as.character(nrow(X))
    j <- as.character(ncol(X))
    cat(".reshape("); cat(i); cat(","); cat(j); cat(", order='F')")
    }
    cat("\n\n")

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capture program drop mat2nparray
program define mat2nparray 
    version 11.0
    syntax namelist(min=1), SAVing(str) [ Format(str) APPend REPlace ]
    if "`format'"=="" local format "%16.0g"
    local saving: subinstr local saving "." ".", count(local ext)
    if !`ext' local saving "`saving'.py"
    tempname myfile
    file open `myfile' using "`saving'", write text `append' `replace'
    file write `myfile' "import numpy as np" _n _n

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from pandas import MultiIndex, Factor
import numpy as np
import pandas

def _ensure_like_indices(time, panels):
    n_time = len(time)
    n_panel = len(panels)
    u_panels = np.unique(panels)  # this sorts!
    u_time = np.unique(time)
    if len(u_time) == n_time:

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"""
Context manager or function to send text messages to your phone when a
process is done.

Edit the global variables. You might be able to find your phone e-mail 
address here: http://tinywords.com/about-old/mobile/

Usage:
with SendText("long running process"):
    do_something()

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import pandas
import numpy as np

def webuse(data, baseurl='http://www.stata-press.com/data/r11/'):
    """
    Parameters
    ----------
    data : str
        Name of dataset to fetch.

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# -*- coding: utf-8 -*-
"""
You need to fill in your API key from google below. Note that querying
supported languages is not implemented.

Language Code
-------- ----
Afrikaans 	af
Albanian 	sq
Arabic 	ar

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"""
Use a decorator to transform the params input to a likelihood function.
"""
from functools import wraps
from contextlib import contextmanager
import numpy as np
import inspect

def make_doc(func, wrapper):
    argspec = inspect.getargspec(func)

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/* 
Put a variable or variable list into a Stata matrix even if it's bigger than 
matsize.

Usage:

If you have some variables xb1 and xb2

bigmat xb1 xb2, mat(new_mat)

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from statsmodels.model import LikelihoodModel
import numpy as np
from numpy import asarray
from scipy import optimize

def log_star(z, eps):
    """
    Owens' log* function. Provides curvature at eps.
    """
    log_idx = z > eps

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#! /bin/bash
# edit this to install whatever you want that depends on numpy after you 
# reinstall numpy

# edit these variables or add to them
npsrc="$HOME/src/numpy/"
spsrc="$HOME/src/scipy/"
pdsrc="$HOME/src/pandas/"
smsrc="$HOME/statsmodels/statsmodels/"