Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
Home Page: https://doc.retentioneering.com/stable/doc/index.html
License: Other
При попытки построить граф, вылетает с ошибкой кодировки
Hey folks,
Sorry if that is not the right place for raising such kinds of issues. I was trying to navigate the community in telegram but noticed the link https://t.me/retentioneering_meetups is no longer active.
Can you navigate me to the right one, please?
Hi,
importing retentioneering causes this error:
Python 3.8.12 (default, Mar 15 2022, 12:23:51)
[Clang 12.0.5 (clang-1205.0.22.11)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import retentioneering
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/katya/.pyenv/versions/rete/lib/python3.8/site-packages/retentioneering/__init__.py", line 30, in <module>
from retentioneering.core.config import config, init_config
File "/Users/katya/.pyenv/versions/rete/lib/python3.8/site-packages/retentioneering/core/config.py", line 9, in <module>
from .core_functions.base_dataset import BaseDataset
File "/Users/katya/.pyenv/versions/rete/lib/python3.8/site-packages/retentioneering/core/core_functions/__init__.py", line 10, in <module>
from .step_matrix import step_matrix
File "/Users/katya/.pyenv/versions/rete/lib/python3.8/site-packages/retentioneering/core/core_functions/step_matrix.py", line 9, in <module>
from retentioneering.visualization import plot_step_matrix
File "/Users/katya/.pyenv/versions/rete/lib/python3.8/site-packages/retentioneering/visualization/plot_step_matrix.py", line 10, in <module>
import matplotlib.pyplot as plt
File "/Users/katya/.pyenv/versions/rete/lib/python3.8/site-packages/matplotlib/pyplot.py", line 2230, in <module>
switch_backend(rcParams["backend"])
File "/Users/katya/.pyenv/versions/rete/lib/python3.8/site-packages/matplotlib/pyplot.py", line 267, in switch_backend
class backend_mod(matplotlib.backend_bases._Backend):
File "/Users/katya/.pyenv/versions/rete/lib/python3.8/site-packages/matplotlib/pyplot.py", line 268, in backend_mod
locals().update(vars(importlib.import_module(backend_name)))
File "/Users/katya/.pyenv/versions/3.8.12/lib/python3.8/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
ModuleNotFoundError: No module named 'itermplot'
>>>
Hi guys
I tried to get through your "first steps" guide but it raised an error on the start
from retentioneering import init_config
import pandas as pd
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-21-fe4dd999c90a> in <module>()
----> 1 from retentioneering import init_config
2 import pandas as pd
/anaconda3/lib/python3.6/site-packages/retentioneering/__init__.py in <module>()
----> 1 from retentioneering.core.utils import init_config
2 from retentioneering.core.simulator import Simulator
/anaconda3/lib/python3.6/site-packages/retentioneering/core/utils.py in <module>()
14 from retentioneering.visualization import plot
15 from sklearn.linear_model import LogisticRegression
---> 16 from retentioneering.core.model import ModelDescriptor
17 from retentioneering.core import node_metrics
18 from retentioneering.core import preprocessing
/anaconda3/lib/python3.6/site-packages/retentioneering/core/model.py in <module>()
5
6
----> 7 import shap
8 import eli5
9 from eli5.sklearn import PermutationImportance
/anaconda3/lib/python3.6/site-packages/shap/__init__.py in <module>()
10 from .explainers.linear import LinearExplainer
11 from .explainers.partition import PartitionExplainer
---> 12 from .plots.summary import summary_plot
13 from .plots.decision import decision_plot, multioutput_decision_plot
14 from .plots.dependence import dependence_plot
/anaconda3/lib/python3.6/site-packages/shap/plots/summary.py in <module>()
13 pass
14 from . import labels
---> 15 from . import colors
16
17 # TODO: remove unused title argument / use title argument
/anaconda3/lib/python3.6/site-packages/shap/plots/colors.py in <module>()
5
6 import numpy as np
----> 7 import skimage.color
8
9 try:
/anaconda3/lib/python3.6/site-packages/skimage/color/__init__.py in <module>()
----> 1 from .colorconv import (convert_colorspace,
2 guess_spatial_dimensions,
3 rgba2rgb,
4 rgb2hsv,
5 hsv2rgb,
/anaconda3/lib/python3.6/site-packages/skimage/color/colorconv.py in <module>()
54 import numpy as np
55 from scipy import linalg
---> 56 from ..util import dtype, dtype_limits
57
58
/anaconda3/lib/python3.6/site-packages/skimage/util/__init__.py in <module>()
----> 1 from .dtype import (img_as_float32, img_as_float64, img_as_float,
2 img_as_int, img_as_uint, img_as_ubyte,
3 img_as_bool, dtype_limits)
4 from .shape import view_as_blocks, view_as_windows
5 from .noise import random_noise
ImportError: cannot import name 'img_as_float32'
skimage version: 0.15.0
Hi,
Is it possible to add an edge "ENDED" (like in Step Matrix) to the graph? It would helpfull to visualize from which steps the sequence was ended.
Hmm, if I'm not mistaken, it was possible in the previos version of retentioneering, no?
pip3 install retentioneeringFixed it by:
pip install pywin32
python path\to\python\Scripts\pywin32_postinstall.py -install
The tutorial notebook (Google Colab) returns the error above when running the following code:
data.rete.plot_graph(norm_type=None,
weight_col=None,
thresh=250)
I am getting this error on
data.retention.get_clusters(plot_type='cluster_heatmap')
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-47-ea4770463931> in <module>()
----> 1 data.retention.get_clusters(plot_type='cluster_heatmap')
/anaconda3/lib/python3.6/site-packages/retentioneering/core/utils.py in get_clusters(self, plot_type, refit_cluster, method, **kwargs)
450 if not hasattr(self, 'clusters') or refit_cluster:
451 clusterer = getattr(clustering, method)
--> 452 self.clusters, self._metrics = clusterer(features, **kwargs)
453 self._create_cluster_mapping(features.index.values)
454
ValueError: too many values to unpack (expected 2)
Same on
data.retention.get_clusters(n_clusters=8, plot_type='cluster_tsne', refit_cluster=True);
Hello, how can I solve this problem?
>>> pip3 install retentioneering
>>> import retentioneering
<<< ImportError: cannot import name 'structref'Hi im having trouble applying the basic plot_graph example to my own dataset. I can reproduce the step matric example, but when trying to display the plot_graph, im getting the following exception
KeyError Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2894 try:
-> 2895 return self._engine.get_loc(casted_key)
2896 except KeyError as err:
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_loc()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item()
KeyError: 'type'
The above exception was the direct cause of the following exception:
KeyError Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py in _set_item(self, key, value)
3573 try:
-> 3574 loc = self._info_axis.get_loc(key)
3575 except KeyError:
/opt/conda/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
2896 except KeyError as err:
-> 2897 raise KeyError(key) from err
2898
KeyError: 'type'
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
in
1 user_events.rete.plot_graph(norm_type=None,
2 weight_col=None,
----> 3 thresh=250)
/opt/conda/lib/python3.7/site-packages/retentioneering/core/core_functions/plot_graph.py in plot_graph(self, targets, weight_col, norm_type, layout_dump, width, height, thresh)
102 width=width,
103 height=height,
--> 104 thresh=thresh)
105
106 # if work from google colab user HTML display:
/opt/conda/lib/python3.7/site-packages/retentioneering/visualization/plot_utils.py in save_plot_wrapper(*args, **kwargs)
19 sns.mpl.pyplot.show()
20 sns.mpl.pyplot.close()
---> 21 res = func(*args, **kwargs)
22 if len(res) == 2:
23 (vis_object, name), res, cfg = res, None, None
/opt/conda/lib/python3.7/site-packages/retentioneering/visualization/draw_graph.py in graph(data, node_params, thresh, width, height, interactive, layout_dump, show_percent, plot_name, node_weights, **kwargs)
227 height=round(height - height / 3),
228 node_weights=node_weights,
--> 229 **kwargs)
230
231 res['node_params'] = node_params
/opt/conda/lib/python3.7/site-packages/retentioneering/visualization/draw_graph.py in _make_json_data(data, node_params, layout_dump, thresh, width, height, **kwargs)
102 data["type"] = data.apply(
103 lambda x: node_params.get(x.source) if node_params.get(x.source) == 'source' else node_params.get(
--> 104 x.target) or 'suit', 1)
105
106 pos, degrees = _calc_layout(data, node_params, width=width, height=height, **kwargs)
/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py in setitem(self, key, value)
3038 else:
3039 # set column
-> 3040 self._set_item(key, value)
3041
3042 def _setitem_slice(self, key: slice, value):
/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py in _set_item(self, key, value)
3115 self._ensure_valid_index(value)
3116 value = self._sanitize_column(key, value)
-> 3117 NDFrame._set_item(self, key, value)
3118
3119 # check if we are modifying a copy
/opt/conda/lib/python3.7/site-packages/pandas/core/generic.py in _set_item(self, key, value)
3575 except KeyError:
3576 # This item wasn't present, just insert at end
-> 3577 self._mgr.insert(len(self._info_axis), key, value)
3578 return
3579
/opt/conda/lib/python3.7/site-packages/pandas/core/internals/managers.py in insert(self, loc, item, value, allow_duplicates)
1187 value = _safe_reshape(value, (1,) + value.shape)
1188
-> 1189 block = make_block(values=value, ndim=self.ndim, placement=slice(loc, loc + 1))
1190
1191 for blkno, count in _fast_count_smallints(self.blknos[loc:]):
/opt/conda/lib/python3.7/site-packages/pandas/core/internals/blocks.py in make_block(values, placement, klass, ndim, dtype)
2720 values = DatetimeArray._simple_new(values, dtype=dtype)
2721
-> 2722 return klass(values, ndim=ndim, placement=placement)
2723
2724
/opt/conda/lib/python3.7/site-packages/pandas/core/internals/blocks.py in init(self, values, placement, ndim)
2376 values = np.array(values, dtype=object)
2377
-> 2378 super().init(values, ndim=ndim, placement=placement)
2379
2380 @Property
/opt/conda/lib/python3.7/site-packages/pandas/core/internals/blocks.py in init(self, values, placement, ndim)
129 if self._validate_ndim and self.ndim and len(self.mgr_locs) != len(self.values):
130 raise ValueError(
--> 131 f"Wrong number of items passed {len(self.values)}, "
132 f"placement implies {len(self.mgr_locs)}"
133 )
ValueError: Wrong number of items passed 3, placement implies 1
`
Code snapshot
`
user_events.dtypes
user_id int64
event object
timestamp object
dtype: object
user_events.rete.plot_graph(norm_type=None,
weight_col=None,
thresh=250)
`
Any tips on this?
Thanks
Hi retentioneering-tools team!
My team maintains a few open-source projects, and we've seen that having interactive examples greatly helps newcomers! We're maintaining a Binder cluster that provides ephemeral JupyterLab sessions (example). It essentially spins up a JupyterLab session with pre-made examples.
We're happy to sponsor retentioneering-tools with some computing power. If you're interested, please get in touch with me! (my contact info is in my profile)
Hi,
Python tools for user trajectories analysis Retentioneering are now moved. Previously started in App in the Air (https://github.com/appintheair/retentioneering-framework) it is now rebuilt, redeveloped and actively maintained by independent Retentioneering team at https://github.com/retentioneering/retentioneering-tools
Please join for best latest updates and new features, like better graph visualization in Python
Кластеризация сессий. Если в сессии target_event не последнее событие, то в кластеризатор не проставляет метку этой сессии
Got troubles with installation on macbook air m1.
python -V
Python 3.9.5
Part of the trace:
Building wheels for collected packages: numpy, llvmlite
Building wheel for numpy (pyproject.toml) ... error
error: subprocess-exited-with-error
× Building wheel for numpy (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [893 lines of output]
Running from numpy source directory.
numpy/random/_bounded_integers.pxd.in has not changed
numpy/random/_philox.pyx has not changed
numpy/random/_bounded_integers.pyx.in has not changed
numpy/random/_sfc64.pyx has not changed
numpy/random/_mt19937.pyx has not changed
numpy/random/bit_generator.pyx has not changed
Processing numpy/random/_bounded_integers.pyx
numpy/random/mtrand.pyx has not changed
numpy/random/_generator.pyx has not changed
numpy/random/_pcg64.pyx has not changed
numpy/random/_common.pyx has not changed
Cythonizing sources
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
blis_info:
libraries blis not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
openblas_info:
libraries openblas not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
libraries tatlas not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_3_10_blas_info:
libraries satlas not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
libraries ptf77blas,ptcblas,atlas not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
accelerate_info:
libraries accelerate not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
Library accelerate was not found. Ignoring
libraries veclib not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
Library veclib was not found. Ignoring
FOUND:
extra_compile_args = ['-faltivec', '-I/System/Library/Frameworks/vecLib.framework/Headers']
extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
FOUND:
extra_compile_args = ['-faltivec', '-I/System/Library/Frameworks/vecLib.framework/Headers']
extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
non-existing path in 'numpy/distutils': 'site.cfg'
lapack_opt_info:
lapack_mkl_info:
libraries mkl_rt not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
openblas_lapack_info:
libraries openblas not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
openblas_clapack_info:
libraries openblas,lapack not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
flame_info:
libraries flame not found in ['/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib', '/usr/local/lib', '/usr/lib']
NOT AVAILABLE
atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
libraries lapack_atlas not found in /Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib
libraries tatlas,tatlas not found in /Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib
libraries lapack_atlas not found in /usr/local/lib
libraries tatlas,tatlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/lib
libraries tatlas,tatlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
NOT AVAILABLE
atlas_3_10_info:
libraries lapack_atlas not found in /Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib
libraries satlas,satlas not found in /Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib
libraries lapack_atlas not found in /usr/local/lib
libraries satlas,satlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/lib
libraries satlas,satlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_3_10_info'>
NOT AVAILABLE
atlas_threads_info:
Setting PTATLAS=ATLAS
libraries lapack_atlas not found in /Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib
libraries ptf77blas,ptcblas,atlas not found in /Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib
libraries lapack_atlas not found in /usr/local/lib
libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/lib
libraries ptf77blas,ptcblas,atlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_threads_info'>
NOT AVAILABLE
atlas_info:
libraries lapack_atlas not found in /Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib
libraries f77blas,cblas,atlas not found in /Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/lib
libraries lapack_atlas not found in /usr/local/lib
libraries f77blas,cblas,atlas not found in /usr/local/lib
libraries lapack_atlas not found in /usr/lib
libraries f77blas,cblas,atlas not found in /usr/lib
<class 'numpy.distutils.system_info.atlas_info'>
NOT AVAILABLE
FOUND:
extra_compile_args = ['-faltivec', '-I/System/Library/Frameworks/vecLib.framework/Headers']
extra_link_args = ['-Wl,-framework', '-Wl,Accelerate']
define_macros = [('NO_ATLAS_INFO', 3), ('HAVE_CBLAS', None)]
/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-build-env-cxkr50mv/overlay/lib/python3.9/site-packages/setuptools/_distutils/dist.py:275: UserWarning: Unknown distribution option: 'define_macros'
warnings.warn(msg)
running bdist_wheel
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building py_modules sources
building library "npymath" sources
Could not locate executable gfortran
Could not locate executable f95
Could not locate executable f90
Could not locate executable f77
Could not locate executable xlf90
Could not locate executable xlf
Could not locate executable ifort
Could not locate executable ifc
Could not locate executable g77
Could not locate executable g95
Could not locate executable pgfortran
don't know how to compile Fortran code on platform 'posix'
adding 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath' to include_dirs.
None - nothing done with h_files = ['build/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath/npy_math_internal.h']
building library "npysort" sources
adding 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/common' to include_dirs.
None - nothing done with h_files = ['build/src.macosx-12.1-arm64-3.9/numpy/core/src/common/npy_sort.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/common/npy_partition.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/common/npy_binsearch.h']
building library "npyrandom" sources
building extension "numpy.core._multiarray_tests" sources
building extension "numpy.core._multiarray_umath" sources
adding 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/umath' to include_dirs.
adding 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath' to include_dirs.
adding 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/common' to include_dirs.
numpy.core - nothing done with h_files = ['build/src.macosx-12.1-arm64-3.9/numpy/core/src/umath/funcs.inc', 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/umath/simd.inc', 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/umath/loops.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/umath/matmul.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/umath/clip.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath/npy_math_internal.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/src/common/templ_common.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy/config.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy/_numpyconfig.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy/__multiarray_api.h', 'build/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy/__ufunc_api.h']
...
copying numpy/tests/test_scripts.py -> build/lib.macosx-12.1-arm64-3.9/numpy/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using new_build_clib
building 'npymath' library
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include
creating build/temp.macosx-12.1-arm64-3.9
creating build/temp.macosx-12.1-arm64-3.9/numpy
creating build/temp.macosx-12.1-arm64-3.9/numpy/core
creating build/temp.macosx-12.1-arm64-3.9/numpy/core/src
creating build/temp.macosx-12.1-arm64-3.9/numpy/core/src/npymath
creating build/temp.macosx-12.1-arm64-3.9/build
creating build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9
creating build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9/numpy
creating build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9/numpy/core
creating build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9/numpy/core/src
creating build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath
compile options: '-Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath -Inumpy/core/include -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/include -I/Users/knodl/.pyenv/versions/3.9.5/include/python3.9 -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/common -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath -c'
clang: numpy/core/src/npymath/npy_math.c
clang: numpy/core/src/npymath/halffloat.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath/ieee754.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath/npy_math_complex.c
In file included from numpy/core/src/npymath/npy_math.c:9:
numpy/core/src/npymath/npy_math_internal.h.src:490:21: warning: incompatible pointer types passing 'npy_longdouble *' (aka 'double *') to parameter of type 'long double *' [-Wincompatible-pointer-types]
return modfl(x, iptr);
^~~~
/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include/math.h:394:52: note: passing argument to parameter here
extern long double modfl(long double, long double *);
^
1 warning generated.
ar: adding 4 object files to build/temp.macosx-12.1-arm64-3.9/libnpymath.a
ranlib:@ build/temp.macosx-12.1-arm64-3.9/libnpymath.a
building 'npysort' library
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include
creating build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9/numpy/core/src/npysort
compile options: '-Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/include -I/Users/knodl/.pyenv/versions/3.9.5/include/python3.9 -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/common -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath -c'
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npysort/quicksort.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npysort/mergesort.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npysort/timsort.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npysort/heapsort.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npysort/radixsort.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npysort/selection.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npysort/binsearch.c
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
numpy/core/src/npysort/selection.c.src:328:9: warning: code will never be executed [-Wunreachable-code]
npy_intp k;
^~~~~~~~~~~
numpy/core/src/npysort/selection.c.src:326:14: note: silence by adding parentheses to mark code as explicitly dead
else if (0 && kth == num - 1) {
^
/* DISABLES CODE */ ( )
22 warnings generated.
ar: adding 7 object files to build/temp.macosx-12.1-arm64-3.9/libnpysort.a
ranlib:@ build/temp.macosx-12.1-arm64-3.9/libnpysort.a
building 'npyrandom' library
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include
creating build/temp.macosx-12.1-arm64-3.9/numpy/random
creating build/temp.macosx-12.1-arm64-3.9/numpy/random/src
creating build/temp.macosx-12.1-arm64-3.9/numpy/random/src/distributions
compile options: '-Inumpy/core/include -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/include -I/Users/knodl/.pyenv/versions/3.9.5/include/python3.9 -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/common -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath -c'
clang: numpy/random/src/distributions/logfactorial.c
clang: numpy/random/src/distributions/distributions.c
clang: numpy/random/src/distributions/random_mvhg_marginals.c
clang: numpy/random/src/distributions/random_mvhg_count.c
clang: numpy/random/src/distributions/random_hypergeometric.c
ar: adding 5 object files to build/temp.macosx-12.1-arm64-3.9/libnpyrandom.a
ranlib:@ build/temp.macosx-12.1-arm64-3.9/libnpyrandom.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using new_build_ext
building 'numpy.core._multiarray_tests' extension
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include
creating build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9/numpy/core/src/multiarray
creating build/temp.macosx-12.1-arm64-3.9/numpy/core/src/common
compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Inumpy/core/include -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/include -I/Users/knodl/.pyenv/versions/3.9.5/include/python3.9 -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/common -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath -c'
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/multiarray/_multiarray_tests.c
clang: numpy/core/src/common/mem_overlap.c
In file included from numpy/core/src/multiarray/_multiarray_tests.c.src:7:
In file included from numpy/core/include/numpy/npy_math.h:596:
numpy/core/src/npymath/npy_math_internal.h.src:490:21: warning: incompatible pointer types passing 'npy_longdouble *' (aka 'double *') to parameter of type 'long double *' [-Wincompatible-pointer-types]
return modfl(x, iptr);
^~~~
/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include/math.h:394:52: note: passing argument to parameter here
extern long double modfl(long double, long double *);
^
numpy/core/src/multiarray/_multiarray_tests.c.src:1895:61: warning: format specifies type 'long double' but the argument has type 'npy_longdouble' (aka 'double') [-Wformat]
PyOS_snprintf(str, sizeof(str), "%.*Lg", precision, x);
~~~~~ ^
%.*g
2 warnings generated.
clang -bundle -undefined dynamic_lookup -L/opt/homebrew/opt/readline/lib -L/opt/homebrew/opt/readline/lib -L/Users/knodl/.pyenv/versions/3.9.5/lib -L/opt/homebrew/lib -L/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/lib -L/opt/homebrew/opt/readline/lib -L/opt/homebrew/opt/readline/lib -L/Users/knodl/.pyenv/versions/3.9.5/lib -L/opt/homebrew/lib -L/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/lib build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9/numpy/core/src/multiarray/_multiarray_tests.o build/temp.macosx-12.1-arm64-3.9/numpy/core/src/common/mem_overlap.o -Lbuild/temp.macosx-12.1-arm64-3.9 -lnpymath -o build/lib.macosx-12.1-arm64-3.9/numpy/core/_multiarray_tests.cpython-39-darwin.so
building 'numpy.core._multiarray_umath' extension
compiling C sources
C compiler: clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include
creating build/temp.macosx-12.1-arm64-3.9/numpy/core/src/multiarray
creating build/temp.macosx-12.1-arm64-3.9/numpy/core/src/umath
creating build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9/numpy/core/src/umath
creating build/temp.macosx-12.1-arm64-3.9/build/src.macosx-12.1-arm64-3.9/numpy/core/src/common
creating build/temp.macosx-12.1-arm64-3.9/private
creating build/temp.macosx-12.1-arm64-3.9/private/var
creating build/temp.macosx-12.1-arm64-3.9/private/var/folders
creating build/temp.macosx-12.1-arm64-3.9/private/var/folders/ws
creating build/temp.macosx-12.1-arm64-3.9/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn
creating build/temp.macosx-12.1-arm64-3.9/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T
creating build/temp.macosx-12.1-arm64-3.9/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd
creating build/temp.macosx-12.1-arm64-3.9/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd/numpy_dafcb5869e1446f08f52deba357fec3d
creating build/temp.macosx-12.1-arm64-3.9/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd/numpy_dafcb5869e1446f08f52deba357fec3d/numpy
creating build/temp.macosx-12.1-arm64-3.9/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd/numpy_dafcb5869e1446f08f52deba357fec3d/numpy/_build_utils
creating build/temp.macosx-12.1-arm64-3.9/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd/numpy_dafcb5869e1446f08f52deba357fec3d/numpy/_build_utils/src
compile options: '-DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/umath -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/include -I/Users/knodl/.pyenv/versions/3.9.5/include/python3.9 -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/common -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath -c'
extra options: '-faltivec -I/System/Library/Frameworks/vecLib.framework/Headers'
clang: numpy/core/src/multiarray/alloc.c
clang: numpy/core/src/multiarray/array_assign_scalar.c
clang: numpy/core/src/multiarray/buffer.c
clang: numpy/core/src/multiarray/datetime_strings.c
clang: numpy/core/src/multiarray/conversion_utils.c
clang: numpy/core/src/multiarray/common.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/multiarray/einsum.c
clang: numpy/core/src/multiarray/descriptor.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/hashdescr.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/multiarray/lowlevel_strided_loops.c
clang: numpy/core/src/multiarray/multiarraymodule.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/nditer_constr.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/refcount.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/multiarray/temp_elide.c
clang: numpy/core/src/multiarray/vdot.c
clang: numpy/core/src/multiarray/scalarapi.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/umath/loops.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/umath/ufunc_type_resolution.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/umath/ufunc_object.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: numpy/core/src/common/array_assign.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath/ieee754.c
clang: build/src.macosx-12.1-arm64-3.9/numpy/core/src/common/npy_cpu_features.c
clang: numpy/core/src/common/ucsnarrow.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: /private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd/numpy_dafcb5869e1446f08f52deba357fec3d/numpy/_build_utils/src/apple_sgemv_fix.c
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
error: Command "clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX12.1.sdk/usr/include -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/umath -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/include -I/Users/knodl/.pyenv/versions/3.9.5/include/python3.9 -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/common -Ibuild/src.macosx-12.1-arm64-3.9/numpy/core/src/npymath -c numpy/core/src/multiarray/alloc.c -o build/temp.macosx-12.1-arm64-3.9/numpy/core/src/multiarray/alloc.o -MMD -MF build/temp.macosx-12.1-arm64-3.9/numpy/core/src/multiarray/alloc.o.d -faltivec -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for numpy
Building wheel for llvmlite (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py bdist_wheel did not run successfully.
│ exit code: 1
╰─> [11 lines of output]
running bdist_wheel
/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/bin/python3.9 /private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd/llvmlite_008ed1517dfb4868be790fe2deeb4363/ffi/build.py
LLVM version... Traceback (most recent call last):
File "/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd/llvmlite_008ed1517dfb4868be790fe2deeb4363/ffi/build.py", line 220, in <module>
main()
File "/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd/llvmlite_008ed1517dfb4868be790fe2deeb4363/ffi/build.py", line 214, in main
main_posix('osx', '.dylib')
File "/private/var/folders/ws/ql7_7p_s7gbf_77z0hvwfw9w0000gn/T/pip-install-4fdbvhnd/llvmlite_008ed1517dfb4868be790fe2deeb4363/ffi/build.py", line 134, in main_posix
raise RuntimeError(msg) from None
RuntimeError: Could not find a `llvm-config` binary. There are a number of reasons this could occur, please see: https://llvmlite.readthedocs.io/en/latest/admin-guide/install.html#using-pip for help.
error: command '/Users/knodl/.pyenv/versions/3.9.5/envs/retentioneering/bin/python3.9' failed with exit code 1
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for llvmlite
Running setup.py clean for llvmlite
Failed to build numpy llvmlite
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
Love this library! I was using the step matrix method like so:
df.rete.step_matrix(max_steps=24, targets=['Confirmation'])
However, I was looking over a 48 hr period. Does this method have any session logic? For instance if User X went Home -> Product, exited the application, and then returned 4 hrs later to the home screen, this would be treated as his third screen correct? It would not start his journey over--correct?
Hi,
Python tools for user trajectories analysis Retentioneering are now moved. Previously started in App in the Air (https://github.com/appintheair/retentioneering-framework) it is now rebuilt, redeveloped and actively maintained by independent Retentioneering team at https://github.com/retentioneering/retentioneering-tools
Please join for best latest updates and new features, like better graph visualization in Python.
Watch, Star, Fork
Thanks,
Retentioneering team
Cell
data.rete.compare(groups=(test, control),
function=conversion,
test='mannwhitneyu',
group_names=('test','control'))'
in tutorial doesn't work and fails with ValueError: cannot reindex on an axis with duplicate labels error.
After downgrading to seaborn==0.11.1 error dissapear.
To support the use case of sharing plots OUTSIDE of Jupyter (such as in a PowerPoint deck), have been looking at tweaks to the Quick Start plot examples:
title = 'Sankey'
fig = stream.step_sankey(max_steps=6, threshold=0.05, show_plot=False).plot()
fig.update_layout(title=title)
fig.write_image(f"{title}.png")
title = 'Clusters'
from retentioneering.tooling.clusters import Clusters
clusters = Clusters(stream)
X = clusters.extract_features(feature_type='tfidf', ngram_range=(1, 2))
clusters.fit(method='kmeans', n_clusters=8, X=X)
fig = clusters.plot(targets=['payment_done', 'cart'])
fig.title.set_text(title)
fig.get_figure().savefig(f"{title}.png", bbox_inches='tight')
title = 'Funnel'
fig = stream.funnel(stages=['catalog', 'cart', 'payment_done'], show_plot=False).plot()
fig.update_layout(title=title)
fig.write_image(f"{title}.png")
title = 'Heatmap'
fig = stream.cohorts(
cohort_start_unit='M',
cohort_period=(1, 'M'),
average=False,
show_plot=False
).heatmap()
fig.title.set_text(title)
fig.get_figure().savefig(f"{title}.png")
Any suggestions for similar programmatic (.png) outputs for Transition Graph and Step Matrix would be appreciated.
Nodes labels misalignment. Arrows misplacements
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