From bee9850ca8f628e4aea39913d0e8796e28a6eacb Mon Sep 17 00:00:00 2001 From: lbui01 Date: Fri, 4 Aug 2017 12:45:14 +1000 Subject: [PATCH] Fix class style --- quantecon/arma.py | 2 +- quantecon/discrete_rv.py | 2 +- quantecon/distributions.py | 2 +- quantecon/ecdf.py | 2 +- quantecon/game_theory/normal_form_game.py | 4 ++-- quantecon/graph_tools.py | 2 +- quantecon/kalman.py | 2 +- quantecon/lae.py | 2 +- quantecon/lqcontrol.py | 2 +- quantecon/lss.py | 2 +- quantecon/markov/core.py | 2 +- quantecon/markov/ddp.py | 2 +- quantecon/robustlq.py | 2 +- 13 files changed, 14 insertions(+), 14 deletions(-) diff --git a/quantecon/arma.py b/quantecon/arma.py index c18477105..f9c5d508f 100644 --- a/quantecon/arma.py +++ b/quantecon/arma.py @@ -13,7 +13,7 @@ from scipy.signal import dimpulse, freqz, dlsim -class ARMA(object): +class ARMA: r""" This class represents scalar ARMA(p, q) processes. diff --git a/quantecon/discrete_rv.py b/quantecon/discrete_rv.py index 4b5567d1e..bb2a08839 100644 --- a/quantecon/discrete_rv.py +++ b/quantecon/discrete_rv.py @@ -13,7 +13,7 @@ from numpy.random import uniform -class DiscreteRV(object): +class DiscreteRV: """ Generates an array of draws from a discrete random variable with vector of probabilities given by q. diff --git a/quantecon/distributions.py b/quantecon/distributions.py index 3e4d50b30..57f96ef9f 100644 --- a/quantecon/distributions.py +++ b/quantecon/distributions.py @@ -14,7 +14,7 @@ from scipy.special import binom, beta -class BetaBinomial(object): +class BetaBinomial: """ The Beta-Binomial distribution diff --git a/quantecon/ecdf.py b/quantecon/ecdf.py index ad4a6dc3e..43cb7f2b2 100644 --- a/quantecon/ecdf.py +++ b/quantecon/ecdf.py @@ -11,7 +11,7 @@ import numpy as np -class ECDF(object): +class ECDF: """ One-dimensional empirical distribution function given a vector of observations. diff --git a/quantecon/game_theory/normal_form_game.py b/quantecon/game_theory/normal_form_game.py index 4db9504e1..edfd323d0 100644 --- a/quantecon/game_theory/normal_form_game.py +++ b/quantecon/game_theory/normal_form_game.py @@ -135,7 +135,7 @@ from ..util import check_random_state -class Player(object): +class Player: """ Class representing a player in an N-player normal form game. @@ -381,7 +381,7 @@ def random_choice(self, actions=None, random_state=None): return idx -class NormalFormGame(object): +class NormalFormGame: """ Class representing an N-player normal form game. diff --git a/quantecon/graph_tools.py b/quantecon/graph_tools.py index 8f02c0f90..fc1a4229a 100644 --- a/quantecon/graph_tools.py +++ b/quantecon/graph_tools.py @@ -22,7 +22,7 @@ def new_func(self): return new_func -class DiGraph(object): +class DiGraph: r""" Class for a directed graph. It stores useful information about the graph structure such as strong connectivity [1]_ and periodicity diff --git a/quantecon/kalman.py b/quantecon/kalman.py index 565ef716c..9b50face8 100644 --- a/quantecon/kalman.py +++ b/quantecon/kalman.py @@ -13,7 +13,7 @@ from quantecon.matrix_eqn import solve_discrete_riccati -class Kalman(object): +class Kalman: r""" Implements the Kalman filter for the Gaussian state space model diff --git a/quantecon/lae.py b/quantecon/lae.py index 5c512af1e..82f3d0783 100644 --- a/quantecon/lae.py +++ b/quantecon/lae.py @@ -23,7 +23,7 @@ import numpy as np -class LAE(object): +class LAE: """ An instance is a representation of a look ahead estimator associated with a given stochastic kernel p and a vector of observations X. diff --git a/quantecon/lqcontrol.py b/quantecon/lqcontrol.py index 13583f633..ba03bae6c 100644 --- a/quantecon/lqcontrol.py +++ b/quantecon/lqcontrol.py @@ -14,7 +14,7 @@ from .matrix_eqn import solve_discrete_riccati -class LQ(object): +class LQ: r""" This class is for analyzing linear quadratic optimal control problems of either the infinite horizon form diff --git a/quantecon/lss.py b/quantecon/lss.py index 90f6d93d8..f6d1927cd 100644 --- a/quantecon/lss.py +++ b/quantecon/lss.py @@ -60,7 +60,7 @@ def simulate_linear_model(A, x0, v, ts_length): return x -class LinearStateSpace(object): +class LinearStateSpace: r""" A class that describes a Gaussian linear state space model of the form: diff --git a/quantecon/markov/core.py b/quantecon/markov/core.py index 10e2d35d0..65fe2645f 100644 --- a/quantecon/markov/core.py +++ b/quantecon/markov/core.py @@ -96,7 +96,7 @@ from ..util import searchsorted, check_random_state -class MarkovChain(object): +class MarkovChain: """ Class for a finite-state discrete-time Markov chain. It stores useful information such as the stationary distributions, and diff --git a/quantecon/markov/ddp.py b/quantecon/markov/ddp.py index b6176e886..0decbea42 100644 --- a/quantecon/markov/ddp.py +++ b/quantecon/markov/ddp.py @@ -117,7 +117,7 @@ from .core import MarkovChain -class DiscreteDP(object): +class DiscreteDP: r""" Class for dealing with a discrete dynamic program. diff --git a/quantecon/robustlq.py b/quantecon/robustlq.py index f40bcdcbe..b3444a232 100644 --- a/quantecon/robustlq.py +++ b/quantecon/robustlq.py @@ -16,7 +16,7 @@ from .matrix_eqn import solve_discrete_lyapunov -class RBLQ(object): +class RBLQ: r""" Provides methods for analysing infinite horizon robust LQ control problems of the form