rel to abs again (#4292)

Author: MarcoGorelli

.pre-commit-config.yaml

@@ -61,3 +61,8 @@ repos:
       language: python
       name: Check no tests are ignored
       pass_filenames: false
+    - id: no-relative-imports
+      name: No relative imports
+      entry: from \.[\.\w]* import
+      types: [python]
+      language: pygrep

pymc3/__init__.py

@@ -38,16 +38,16 @@ def __set_compiler_flags():
 
 __set_compiler_flags()
 
-from . import gp, ode, sampling
-from .backends import load_trace, save_trace
-from .backends.tracetab import *
-from .blocking import *
-from .data import *
-from .distributions import *
-from .distributions import transforms
-from .exceptions import *
-from .glm import *
-from .math import (
+from pymc3 import gp, ode, sampling
+from pymc3.backends import load_trace, save_trace
+from pymc3.backends.tracetab import *
+from pymc3.blocking import *
+from pymc3.data import *
+from pymc3.distributions import *
+from pymc3.distributions import transforms
+from pymc3.exceptions import *
+from pymc3.glm import *
+from pymc3.math import (
     expand_packed_triangular,
     invlogit,
     invprobit,
@@ -56,15 +56,15 @@ def __set_compiler_flags():
     logsumexp,
     probit,
 )
-from .model import *
-from .model_graph import model_to_graphviz
-from .plots import *
-from .sampling import *
-from .smc import *
-from .stats import *
-from .step_methods import *
-from .tests import test
-from .theanof import *
-from .tuning import *
-from .variational import *
-from .vartypes import *
+from pymc3.model import *
+from pymc3.model_graph import model_to_graphviz
+from pymc3.plots import *
+from pymc3.sampling import *
+from pymc3.smc import *
+from pymc3.stats import *
+from pymc3.step_methods import *
+from pymc3.tests import test
+from pymc3.theanof import *
+from pymc3.tuning import *
+from pymc3.variational import *
+from pymc3.vartypes import *

pymc3/backends/__init__.py

@@ -60,4 +60,9 @@
 Saved backends can be loaded using `arviz.from_netcdf`
 
 """
-from ..backends.ndarray import NDArray, load_trace, point_list_to_multitrace, save_trace
+from pymc3.backends.ndarray import (
+    NDArray,
+    load_trace,
+    point_list_to_multitrace,
+    save_trace,
+)

pymc3/backends/base.py

@@ -26,9 +26,9 @@
 import numpy as np
 import theano.tensor as tt
 
-from ..model import modelcontext
-from ..util import get_var_name
-from .report import SamplerReport, merge_reports
+from pymc3.backends.report import SamplerReport, merge_reports
+from pymc3.model import modelcontext
+from pymc3.util import get_var_name
 
 logger = logging.getLogger("pymc3")
 

pymc3/backends/report.py

@@ -20,7 +20,7 @@
 
 import arviz
 
-from ..util import get_untransformed_name, is_transformed_name
+from pymc3.util import get_untransformed_name, is_transformed_name
 
 logger = logging.getLogger("pymc3")
 

pymc3/backends/tracetab.py

@@ -20,7 +20,7 @@
 import numpy as np
 import pandas as pd
 
-from ..util import get_default_varnames
+from pymc3.util import get_default_varnames
 
 __all__ = ["trace_to_dataframe"]
 

pymc3/blocking.py

@@ -22,7 +22,7 @@
 
 import numpy as np
 
-from .util import get_var_name
+from pymc3.util import get_var_name
 
 __all__ = ["ArrayOrdering", "DictToArrayBijection", "DictToVarBijection"]
 

pymc3/distributions/__init__.py

@@ -12,10 +12,10 @@
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
 
-from . import shape_utils, timeseries, transforms
-from .bart import BART
-from .bound import Bound
-from .continuous import (
+from pymc3.distributions import shape_utils, timeseries, transforms
+from pymc3.distributions.bart import BART
+from pymc3.distributions.bound import Bound
+from pymc3.distributions.continuous import (
     Beta,
     Cauchy,
     ChiSquared,
@@ -48,7 +48,7 @@
     Wald,
     Weibull,
 )
-from .discrete import (
+from pymc3.distributions.discrete import (
     Bernoulli,
     BetaBinomial,
     Binomial,
@@ -66,7 +66,7 @@
     ZeroInflatedNegativeBinomial,
     ZeroInflatedPoisson,
 )
-from .distribution import (
+from pymc3.distributions.distribution import (
     Continuous,
     DensityDist,
     Discrete,
@@ -76,8 +76,8 @@
     draw_values,
     generate_samples,
 )
-from .mixture import Mixture, MixtureSameFamily, NormalMixture
-from .multivariate import (
+from pymc3.distributions.mixture import Mixture, MixtureSameFamily, NormalMixture
+from pymc3.distributions.multivariate import (
     Dirichlet,
     KroneckerNormal,
     LKJCholeskyCov,
@@ -89,9 +89,9 @@
     Wishart,
     WishartBartlett,
 )
-from .posterior_predictive import fast_sample_posterior_predictive
-from .simulator import Simulator
-from .timeseries import (
+from pymc3.distributions.posterior_predictive import fast_sample_posterior_predictive
+from pymc3.distributions.simulator import Simulator
+from pymc3.distributions.timeseries import (
     AR,
     AR1,
     GARCH11,

pymc3/distributions/bart.py

@@ -14,8 +14,8 @@
 
 import numpy as np
 
-from .distribution import NoDistribution
-from .tree import LeafNode, SplitNode, Tree
+from pymc3.distributions.distribution import NoDistribution
+from pymc3.distributions.tree import LeafNode, SplitNode, Tree
 
 __all__ = ["BART"]
 

pymc3/distributions/continuous.py

@@ -27,11 +27,8 @@
 from scipy.interpolate import InterpolatedUnivariateSpline
 from scipy.special import expit
 
-from pymc3.theanof import floatX
-
-from ..math import invlogit, logdiffexp, logit
-from . import transforms
-from .dist_math import (
+from pymc3.distributions import transforms
+from pymc3.distributions.dist_math import (
     SplineWrapper,
     alltrue_elemwise,
     betaln,
@@ -46,8 +43,10 @@
     std_cdf,
     zvalue,
 )
-from .distribution import Continuous, draw_values, generate_samples
-from .special import log_i0
+from pymc3.distributions.distribution import Continuous, draw_values, generate_samples
+from pymc3.distributions.special import log_i0
+from pymc3.math import invlogit, logdiffexp, logit
+from pymc3.theanof import floatX
 
 __all__ = [
     "Uniform",