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Marco Raber 2022-01-26 14:38:00 +01:00
parent d773729e6a
commit 0c138a2fd5
14 changed files with 20046 additions and 42 deletions
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88
Perceptron.py
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@ -2,8 +2,8 @@
import numpy as np import numpy as np
import random import random
cicli = 59990 cicli = 1000000
hidden_layer = 1 hidden_layer = 2
epsilon = 0.01 epsilon = 0.01
def fdt(x,deriv=False): def fdt(x,deriv=False):
@ -19,68 +19,72 @@ def error_func(output):
return 0.5*e return 0.5*e
#input data #input data
X = np.array([[0,1], # primo input X = np.array([[0,0,1], #input, 00 01 10 11
[0,1], [0,1,1],
[1,1], [1,0,1],
[1,1]]) [1,1,1]])
#output data #output data
Y = np.array([[0], Y = np.array([[0], #xi, output voluto 0 1 1 0
[0],
[1], [1],
[1]]) [1],
[0]])
np.random.seed(1) #per avere sempre lo stesso #np.random.seed(1) #per avere sempre lo stesso
#sinapsi tra input e Perceptron di output #sinapsi tra input e Perceptron di output
syn0 = 0.1*(2*np.random.random((2,hidden_layer)) -1) syn0 = 0.1*(2*np.random.random((3,hidden_layer)) -1) #Sinapsi tra input e hidden layer
#print(syn0) #2x1 #print(syn0) #2x1
syn1 = 0.1*(2*np.random.random((hidden_layer,1)) -1) #Sinapsi tra hidden layer e Perceptron di output
# fase forward # fase forward
l0 = X l0 = X
l1 = fdt(np.dot(l0,syn0)) #output layer hidden, 4x4 4 esempi, 4 neuroni di output l1 = fdt(np.dot(l0,syn0)) #output layer hidden, 4x2 4 esempi, 2 neuroni di output
l2 = fdt(np.dot(l1,syn1)) #output della rete (per ogni esempio)
for i in range(cicli): for i in range(cicli):
print(str(int(100*i/cicli))+"---------------------------------------") #% sul numero totale di cicli #print(str(int(100*i/cicli))+"---------------------------------------") #% sul numero totale di cicli
# fase forward
old_error = error_func(l1) old_error = error_func(l2)
#fase backward #FASE BACKWARD
#calcolo delta_nu #calcolo delta_nu
delta_nu = Y - l1 delta_nu = Y - l2
#print(syn0[:,0])
sum = 0 sum = 0
for nu in range(len(X)): #ciclo tra gli esempi for nu in range(len(X)): #ciclo tra gli esempi, batch
sum += epsilon*(delta_nu[nu]*fdt(np.dot(X[nu],syn0),True))*X[nu] sum += epsilon*(delta_nu[nu]*fdt(np.dot(l1[nu],syn1),True))*l1[nu]
#print(sum) #print(sum)
syn0[:,0] += sum syn1[:,0] += sum
for j in range(hidden_layer): #loop tra i neuroni hidden
sum=0
for nu in range(len(X)): #loop tra gli esempi
sum += epsilon*delta_nu[nu]*fdt(np.dot(l1[nu],syn1),True)*syn1[j]*fdt(np.dot(X[nu],syn0[:,j]),True)
syn0[:,j] += sum
#fase forward
l1 = fdt(np.dot(l0,syn0)) #output layer hidden, 4x4 4 esempi, 4 neuroni di output l1 = fdt(np.dot(l0,syn0)) #output layer hidden, 4x4 4 esempi, 4 neuroni di output
l2 = fdt(np.dot(l1,syn1)) #output della rete (per ogni esempio)
current_error = error_func(l1) current_error = error_func(l2)
print(old_error - current_error)
if (np.linalg.norm(sum) < 10**-8): # if (np.linalg.norm(sum) < 10**-8):
print("Very low variation in weight-space - exiting") # print("Very low variation in weight-space - exiting")
print("delta_w :"+str(np.linalg.norm(sum))) # print("delta_w :"+str(np.linalg.norm(sum)))
break # break
if (error_func(l1) < 0.001): if (error_func(l2) < 0.001):
print("Very low error - exiting") print("Very low error - exiting")
break break
if (abs(current_error - old_error) < 10**-8): # if (abs(current_error - old_error) < 10**-8):
print("Very low error variation - exiting") # print("Very low error variation - exiting")
break # break
if(i % 10000) == 0: # stampo errore ogni 10k
for i in range(len(np.transpose(l2))):
print("Error: "+str(error_func(l1))) print(np.transpose(l2)[i])
for i in range(len(np.transpose(l1))): print(str(int(100*i/cicli))+"-------"+str(current_error))
print(np.transpose(l1)[i])
#for i in range(cicli):
#l1 = fdt(np.dot(l0, syn0))
#print(l1)
#l2 = fdt(np.dot(l1, syn1))
#print(l2)
print("Error: "+str(error_func(l2)))
for i in range(len(np.transpose(l2))):
print(np.transpose(l2)[i])

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Perceptron.spec Normal file
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@ -0,0 +1,40 @@
# -*- mode: python ; coding: utf-8 -*-
block_cipher = None
a = Analysis(['Perceptron.py'],
pathex=[],
binaries=[],
datas=[],
hiddenimports=[],
hookspath=[],
hooksconfig={},
runtime_hooks=[],
excludes=[],
win_no_prefer_redirects=False,
win_private_assemblies=False,
cipher=block_cipher,
noarchive=False)
pyz = PYZ(a.pure, a.zipped_data,
cipher=block_cipher)
exe = EXE(pyz,
a.scripts,
a.binaries,
a.zipfiles,
a.datas,
[],
name='Perceptron',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
upx_exclude=[],
runtime_tmpdir=None,
console=True,
disable_windowed_traceback=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None )

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build/Perceptron/Analysis-00.toc Normal file
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('numpy.ctypeslib',
'/usr/lib/python3.10/site-packages/numpy/ctypeslib.py',
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('numpy.random._pickle',
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'PYMODULE'),
('numpy.polynomial',
'/usr/lib/python3.10/site-packages/numpy/polynomial/__init__.py',
'PYMODULE'),
('numpy.polynomial._polybase',
'/usr/lib/python3.10/site-packages/numpy/polynomial/_polybase.py',
'PYMODULE'),
('numpy.polynomial.laguerre',
'/usr/lib/python3.10/site-packages/numpy/polynomial/laguerre.py',
'PYMODULE'),
('numpy.polynomial.hermite_e',
'/usr/lib/python3.10/site-packages/numpy/polynomial/hermite_e.py',
'PYMODULE'),
('numpy.polynomial.hermite',
'/usr/lib/python3.10/site-packages/numpy/polynomial/hermite.py',
'PYMODULE'),
('numpy.polynomial.legendre',
'/usr/lib/python3.10/site-packages/numpy/polynomial/legendre.py',
'PYMODULE'),
('numpy.polynomial.chebyshev',
'/usr/lib/python3.10/site-packages/numpy/polynomial/chebyshev.py',
'PYMODULE'),
('numpy.polynomial.polynomial',
'/usr/lib/python3.10/site-packages/numpy/polynomial/polynomial.py',
'PYMODULE'),
('numpy.polynomial.polyutils',
'/usr/lib/python3.10/site-packages/numpy/polynomial/polyutils.py',
'PYMODULE'),
('numpy.fft',
'/usr/lib/python3.10/site-packages/numpy/fft/__init__.py',
'PYMODULE'),
('numpy.fft.helper',
'/usr/lib/python3.10/site-packages/numpy/fft/helper.py',
'PYMODULE'),
('numpy.fft._pocketfft',
'/usr/lib/python3.10/site-packages/numpy/fft/_pocketfft.py',
'PYMODULE'),
('numpy.linalg',
'/usr/lib/python3.10/site-packages/numpy/linalg/__init__.py',
'PYMODULE'),
('numpy.linalg.linalg',
'/usr/lib/python3.10/site-packages/numpy/linalg/linalg.py',
'PYMODULE'),
('numpy.lib',
'/usr/lib/python3.10/site-packages/numpy/lib/__init__.py',
'PYMODULE'),
('numpy.lib._version',
'/usr/lib/python3.10/site-packages/numpy/lib/_version.py',
'PYMODULE'),
('numpy.lib.arraypad',
'/usr/lib/python3.10/site-packages/numpy/lib/arraypad.py',
'PYMODULE'),
('numpy.lib.arrayterator',
'/usr/lib/python3.10/site-packages/numpy/lib/arrayterator.py',
'PYMODULE'),
('numpy.lib.npyio',
'/usr/lib/python3.10/site-packages/numpy/lib/npyio.py',
'PYMODULE'),
('numpy.ma.mrecords',
'/usr/lib/python3.10/site-packages/numpy/ma/mrecords.py',
'PYMODULE'),
('numpy.core.records',
'/usr/lib/python3.10/site-packages/numpy/core/records.py',
'PYMODULE'),
('numpy.lib._iotools',
'/usr/lib/python3.10/site-packages/numpy/lib/_iotools.py',
'PYMODULE'),
('numpy.lib._datasource',
'/usr/lib/python3.10/site-packages/numpy/lib/_datasource.py',
'PYMODULE'),
('numpy.lib.format',
'/usr/lib/python3.10/site-packages/numpy/lib/format.py',
'PYMODULE'),
('numpy.lib.arraysetops',
'/usr/lib/python3.10/site-packages/numpy/lib/arraysetops.py',
'PYMODULE'),
('numpy.lib.utils',
'/usr/lib/python3.10/site-packages/numpy/lib/utils.py',
'PYMODULE'),
('numpy.lib.polynomial',
'/usr/lib/python3.10/site-packages/numpy/lib/polynomial.py',
'PYMODULE'),
('numpy.lib.ufunclike',
'/usr/lib/python3.10/site-packages/numpy/lib/ufunclike.py',
'PYMODULE'),
('numpy.lib.shape_base',
'/usr/lib/python3.10/site-packages/numpy/lib/shape_base.py',
'PYMODULE'),
('numpy.lib.nanfunctions',
'/usr/lib/python3.10/site-packages/numpy/lib/nanfunctions.py',
'PYMODULE'),
('numpy.lib.type_check',
'/usr/lib/python3.10/site-packages/numpy/lib/type_check.py',
'PYMODULE'),
('numpy.core.getlimits',
'/usr/lib/python3.10/site-packages/numpy/core/getlimits.py',
'PYMODULE'),
('numpy.core.machar',
'/usr/lib/python3.10/site-packages/numpy/core/machar.py',
'PYMODULE'),
('numpy.lib.scimath',
'/usr/lib/python3.10/site-packages/numpy/lib/scimath.py',
'PYMODULE'),
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'PYMODULE'),
('numpy.version',
'/usr/lib/python3.10/site-packages/numpy/version.py',
'PYMODULE'),
('numpy.compat',
'/usr/lib/python3.10/site-packages/numpy/compat/__init__.py',
'PYMODULE'),
('numpy.compat.py3k',
'/usr/lib/python3.10/site-packages/numpy/compat/py3k.py',
'PYMODULE'),
('numpy.core',
'/usr/lib/python3.10/site-packages/numpy/core/__init__.py',
'PYMODULE'),
('numpy.core._add_newdocs_scalars',
'/usr/lib/python3.10/site-packages/numpy/core/_add_newdocs_scalars.py',
'PYMODULE'),
('numpy.core._add_newdocs',
'/usr/lib/python3.10/site-packages/numpy/core/_add_newdocs.py',
'PYMODULE'),
('numpy.core.einsumfunc',
'/usr/lib/python3.10/site-packages/numpy/core/einsumfunc.py',
'PYMODULE'),
('numpy.core.memmap',
'/usr/lib/python3.10/site-packages/numpy/core/memmap.py',
'PYMODULE'),
('numpy.core.defchararray',
'/usr/lib/python3.10/site-packages/numpy/core/defchararray.py',
'PYMODULE'),
('numpy._distributor_init',
'/usr/lib/python3.10/site-packages/numpy/_distributor_init.py',
'PYMODULE'),
('numpy._version',
'/usr/lib/python3.10/site-packages/numpy/_version.py',
'PYMODULE'),
('numpy.__config__',
'/usr/lib/python3.10/site-packages/numpy/__config__.py',
'PYMODULE'),
('numpy._globals',
'/usr/lib/python3.10/site-packages/numpy/_globals.py',
'PYMODULE')])

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This file lists modules PyInstaller was not able to find. This does not
necessarily mean this module is required for running you program. Python and
Python 3rd-party packages include a lot of conditional or optional modules. For
example the module 'ntpath' only exists on Windows, whereas the module
'posixpath' only exists on Posix systems.
Types if import:
* top-level: imported at the top-level - look at these first
* conditional: imported within an if-statement
* delayed: imported from within a function
* optional: imported within a try-except-statement
IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for
yourself tracking down the missing module. Thanks!
missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), zipimport (top-level)
excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), zipimport (top-level)
missing module named 'typing.io' - imported by importlib.resources (top-level)
missing module named typing_extensions - imported by importlib_metadata._compat (optional)
missing module named vms_lib - imported by platform (delayed, optional)
missing module named 'java.lang' - imported by platform (delayed, optional), xml.sax._exceptions (conditional)
missing module named java - imported by platform (delayed)
missing module named _scproxy - imported by urllib.request (conditional)
missing module named msvcrt - imported by multiprocessing.spawn (delayed, conditional), multiprocessing.popen_spawn_win32 (top-level), getpass (optional), numpy.distutils.mingw32ccompiler (conditional, optional), asyncio.windows_events (top-level), asyncio.windows_utils (top-level), subprocess (optional)
missing module named _winapi - imported by encodings (delayed, conditional, optional), multiprocessing.connection (optional), multiprocessing.spawn (delayed, conditional), multiprocessing.reduction (conditional), multiprocessing.shared_memory (conditional), multiprocessing.heap (conditional), multiprocessing.popen_spawn_win32 (top-level), mimetypes (optional), asyncio.windows_events (top-level), asyncio.windows_utils (top-level), subprocess (optional)
missing module named 'org.python' - imported by pickle (optional), setuptools.sandbox (conditional), xml.sax (delayed, conditional)
missing module named _winreg - imported by platform (delayed, optional), appdirs (delayed, conditional)
missing module named _overlapped - imported by asyncio.windows_events (top-level)
missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
missing module named asyncio.DefaultEventLoopPolicy - imported by asyncio (delayed, conditional), asyncio.events (delayed, conditional)
missing module named winreg - imported by importlib._bootstrap_external (conditional), platform (delayed, optional), appdirs (delayed, conditional), mimetypes (optional), urllib.request (delayed, conditional, optional), distutils.msvccompiler (optional), distutils.msvc9compiler (top-level), distutils._msvccompiler (top-level), numpy.distutils.cpuinfo (delayed, optional), setuptools.msvc (conditional)
missing module named nt - imported by os (delayed, conditional, optional), ntpath (optional), shutil (conditional), importlib._bootstrap_external (conditional), ctypes (delayed, conditional)
missing module named org - imported by copy (optional)
missing module named multiprocessing.get_context - imported by multiprocessing (top-level), multiprocessing.pool (top-level), multiprocessing.managers (top-level), multiprocessing.sharedctypes (top-level)
missing module named multiprocessing.TimeoutError - imported by multiprocessing (top-level), multiprocessing.pool (top-level)
missing module named multiprocessing.set_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
missing module named multiprocessing.get_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
missing module named pyimod03_importers - imported by /home/marco/.local/lib/python3.10/site-packages/PyInstaller/hooks/rthooks/pyi_rth_pkgutil.py (top-level)
missing module named 'nose.plugins' - imported by numpy.testing._private.noseclasses (top-level), numpy.testing._private.nosetester (delayed)
missing module named 'nose.util' - imported by numpy.testing._private.noseclasses (top-level)
missing module named psutil._psutil_aix - imported by psutil (top-level), psutil._psaix (top-level)
missing module named psutil._psutil_sunos - imported by psutil (top-level), psutil._pssunos (top-level)
missing module named psutil._psutil_bsd - imported by psutil (top-level), psutil._psbsd (top-level)
missing module named psutil._psutil_osx - imported by psutil (top-level), psutil._psosx (top-level)
missing module named _psutil_windows - imported by psutil._pswindows (top-level)
missing module named psutil._psutil_windows - imported by psutil (conditional, optional), psutil._pswindows (optional)
missing module named dummy_threading - imported by psutil._compat (optional)
missing module named _dummy_thread - imported by numpy.core.arrayprint (optional)
missing module named numpy.core.result_type - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
missing module named numpy.core.float_ - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
missing module named numpy.core.number - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
missing module named numpy.core.object_ - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (delayed)
missing module named numpy.core.all - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (delayed)
missing module named numpy.core.bool_ - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
missing module named numpy.core.inf - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
missing module named numpy.core.array2string - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
missing module named numpy.core.signbit - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
missing module named numpy.core.isscalar - imported by numpy.core (delayed), numpy.testing._private.utils (delayed), numpy.lib.polynomial (top-level)
missing module named win32pdh - imported by numpy.testing._private.utils (delayed, conditional)
missing module named numpy.core.isinf - imported by numpy.core (delayed), numpy.testing._private.utils (delayed)
missing module named numpy.core.errstate - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (delayed)
missing module named numpy.core.isfinite - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (delayed)
missing module named numpy.core.isnan - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (delayed)
missing module named numpy.core.array - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (top-level), numpy.lib.polynomial (top-level)
missing module named numpy.core.isnat - imported by numpy.core (top-level), numpy.testing._private.utils (top-level)
missing module named numpy.core.ndarray - imported by numpy.core (top-level), numpy.testing._private.utils (top-level), numpy.lib.utils (top-level)
missing module named numpy.core.array_repr - imported by numpy.core (top-level), numpy.testing._private.utils (top-level)
missing module named numpy.core.arange - imported by numpy.core (top-level), numpy.testing._private.utils (top-level), numpy.fft.helper (top-level)
missing module named numpy.core.empty - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (top-level), numpy.fft.helper (top-level)
missing module named numpy.core.float32 - imported by numpy.core (top-level), numpy.testing._private.utils (top-level)
missing module named numpy.core.intp - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.testing._private.utils (top-level)
missing module named numpy.core.linspace - imported by numpy.core (top-level), numpy.lib.index_tricks (top-level)
missing module named numpy.core.iinfo - imported by numpy.core (top-level), numpy.lib.twodim_base (top-level)
missing module named numpy.core.transpose - imported by numpy.core (top-level), numpy.lib.function_base (top-level)
missing module named numpy.core.asarray - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.lib.utils (top-level), numpy.fft._pocketfft (top-level), numpy.fft.helper (top-level)
missing module named numpy.core.integer - imported by numpy.core (top-level), numpy.fft.helper (top-level)
missing module named numpy.core.sqrt - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.fft._pocketfft (top-level)
missing module named numpy.core.conjugate - imported by numpy.core (top-level), numpy.fft._pocketfft (top-level)
missing module named numpy.core.swapaxes - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.fft._pocketfft (top-level)
missing module named numpy.core.zeros - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.fft._pocketfft (top-level)
missing module named numpy.core.sort - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.argsort - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.sign - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.count_nonzero - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.divide - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.matmul - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.asanyarray - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.atleast_2d - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.product - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.amax - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.amin - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.moveaxis - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.geterrobj - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.finfo - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.lib.polynomial (top-level)
missing module named numpy.core.sum - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.fastCopyAndTranspose - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.multiply - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.add - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.dot - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.lib.polynomial (top-level)
missing module named numpy.core.Inf - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.newaxis - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.complexfloating - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.inexact - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.cdouble - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.csingle - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.double - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.single - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.intc - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.empty_like - imported by numpy.core (top-level), numpy.linalg.linalg (top-level)
missing module named numpy.core.ufunc - imported by numpy.core (top-level), numpy.lib.utils (top-level)
missing module named numpy.core.ones - imported by numpy.core (top-level), numpy.lib.polynomial (top-level)
missing module named numpy.core.hstack - imported by numpy.core (top-level), numpy.lib.polynomial (top-level)
missing module named numpy.core.atleast_1d - imported by numpy.core (top-level), numpy.lib.polynomial (top-level)
missing module named numpy.core.atleast_3d - imported by numpy.core (top-level), numpy.lib.shape_base (top-level)
missing module named numpy.core.vstack - imported by numpy.core (top-level), numpy.lib.shape_base (top-level)
missing module named pickle5 - imported by numpy.compat.py3k (optional)
missing module named numpy.eye - imported by numpy (delayed), numpy.core.numeric (delayed)
missing module named numpy.recarray - imported by numpy (top-level), numpy.ma.mrecords (top-level)
missing module named numpy.dtype - imported by numpy (top-level), numpy.ma.mrecords (top-level), numpy.ctypeslib (top-level)
missing module named numpy.expand_dims - imported by numpy (top-level), numpy.ma.core (top-level)
missing module named numpy.array - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.extras (top-level), numpy.ma.mrecords (top-level)
missing module named numpy.bool_ - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.mrecords (top-level)
missing module named numpy.iscomplexobj - imported by numpy (top-level), numpy.ma.core (top-level)
missing module named numpy.amin - imported by numpy (top-level), numpy.ma.core (top-level)
missing module named numpy.amax - imported by numpy (top-level), numpy.ma.core (top-level)
missing module named numpy.ndarray - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.extras (top-level), numpy.ma.mrecords (top-level), numpy.ctypeslib (top-level)
missing module named numpy.histogramdd - imported by numpy (delayed), numpy.lib.twodim_base (delayed)

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