"Failed to import pydot" throws in kerasR - r

I use the package keras under R and I would like to know if there was a command like python with plot_model () which allows to display its neuron network
library(keras)
for example I would like to display this neural network under R
model <- keras_model_sequential()
model %>%
layer_dense(units = 5, input_shape = 2) %>%
layer_activation("relu") %>%
layer_dense(units = 1)
I install package kerasR for use the function plot_model(), but i have this error.
> library(kerasR)
> plot_model(model)
Error in py_call_impl(callable, dots$args, dots$keywords) :
ImportError: Failed to import pydot. You must install pydot and graphviz for `pydotprint` to work.
Detailed traceback:
File "C:\Users\Idriss\ANACON~1\envs\R-TENS~1\lib\site-packages\keras\utils\vis_utils.py", line 131, in plot_model
dot = model_to_dot(model, show_shapes, show_layer_names, rankdir)
File "C:\Users\Idriss\ANACON~1\envs\R-TENS~1\lib\site-packages\keras\utils\vis_utils.py", line 52, in model_to_dot
_check_pydot()
File "C:\Users\Idriss\ANACON~1\envs\R-TENS~1\lib\site-packages\keras\utils\vis_utils.py", line 27, in _check_pydot
raise ImportError('Failed to import pydot. You must install pydot'
I'm use windows 10 64 bits, i use RStudio with Anaconda
In [4] pydot.Dot.create(pydot.Dot())
Out[4]: b"%!PS-Adobe-3.0\r\n%%Creator: graphviz version 2.38.0 (20140413.2041)\r\n%%Title: G\r\n%%Pages: (atend)\r\n%%BoundingBox: (atend)\r\n%%EndComments\r\nsave\r\n%%BeginProlog\r\n/DotDict 200 dict def\r\nDotDict begin\r\n\r\n/setupLatin1 {\r\nmark\r\n/EncodingVector 256 array def\r\n EncodingVector 0\r\n\r\nISOLatin1Encoding 0 255 getinterval putinterval\r\nEncodingVector 45 /hyphen put\r\n\r\n% Set up ISO Latin 1 character encoding\r\n/starnetISO {\r\n dup dup findfont dup length dict begin\r\n { 1 index /FID ne { def }{ pop pop } ifelse\r\n } forall\r\n /Encoding EncodingVector def\r\n currentdict end definefont\r\n} def\r\n/Times-Roman starnetISO def\r\n/Times-Italic starnetISO def\r\n/Times-Bold starnetISO def\r\n/Times-BoldItalic starnetISO def\r\n/Helvetica starnetISO def\r\n/Helvetica-Oblique starnetISO def\r\n/Helvetica-Bold starnetISO def\r\n/Helvetica-BoldOblique starnetISO def\r\n/Courier starnetISO def\r\n/Courier-Oblique starnetISO def\r\n/Courier-Bold starnetISO def\r\n/Courier-BoldOblique starnetISO def\r\ncleartomark\r\n} bind def\r\n\r\n%%BeginResource: procset graphviz 0 0\r\n/coord-font-family /Times-Roman def\r\n/default-font-family /Times-Roman def\r\n/coordfont coord-font-family findfont 8 scalefont def\r\n\r\n/InvScaleFactor 1.0 def\r\n/set_scale {\r\n dup 1 exch div /InvScaleFactor exch def\r\n scale\r\n} bind def\r\n\r\n% styles\r\n/solid { [] 0 setdash } bind def\r\n/dashed { [9 InvScaleFactor mul dup ] 0 setdash } bind def\r\n/dotted { [1 InvScaleFactor mul 6 InvScaleFactor mul] 0 setdash } bind def\r\n/invis {/fill {newpath} def /stroke {newpath} def /show {pop newpath} def} bind def\r\n/bold { 2 setlinewidth } bind def\r\n/filled { } bind def\r\n/unfilled { } bind def\r\n/rounded { } bind def\r\n/diagonals { } bind def\r\n/tapered { } bind def\r\n\r\n% hooks for setting color \r\n/nodecolor { sethsbcolor } bind def\r\n/edgecolor { sethsbcolor } bind def\r\n/graphcolor { sethsbcolor } bind def\r\n/nopcolor {pop pop pop} bind def\r\n\r\n/beginpage {\t% i j npages\r\n\t/npages exch def\r\n\t/j exch def\r\n\t/i exch def\r\n\t/str 10 string def\r\n\tnpages 1 gt {\r\n\t\tgsave\r\n\t\t\tcoordfont setfont\r\n\t\t\t0 0 moveto\r\n\t\t\t(\\() show i str cvs show (,) show j str cvs show (\\)) show\r\n\t\tgrestore\r\n\t} if\r\n} bind def\r\n\r\n/set_font {\r\n\tfindfont exch\r\n\tscalefont setfont\r\n} def\r\n\r\n% draw text fitted to its expected width\r\n/alignedtext {\t\t\t% width text\r\n\t/text exch def\r\n\t/width exch def\r\n\tgsave\r\n\t\twidth 0 gt {\r\n\t\t\t[] 0 setdash\r\n\t\t\ttext stringwidth pop width exch sub text length div 0 text ashow\r\n\t\t} if\r\n\tgrestore\r\n} def\r\n\r\n/boxprim {\t\t\t\t% xcorner ycorner xsize ysize\r\n\t\t4 2 roll\r\n\t\tmoveto\r\n\t\t2 copy\r\n\t\texch 0 rlineto\r\n\t\t0 exch rlineto\r\n\t\tpop neg 0 rlineto\r\n\t\tclosepath\r\n} bind def\r\n\r\n/ellipse_path {\r\n\t/ry exch def\r\n\t/rx exch def\r\n\t/y exch def\r\n\t/x exch def\r\n\tmatrix currentmatrix\r\n\tnewpath\r\n\tx y translate\r\n\trx ry scale\r\n\t0 0 1 0 360 arc\r\n\tsetmatrix\r\n} bind def\r\n\r\n/endpage { showpage } bind def\r\n/showpage { } def\r\n\r\n/layercolorseq\r\n\t[\t% layer color sequence - darkest to lightest\r\n\t\t[0 0 0]\r\n\t\t[.2 .8 .8]\r\n\t\t[.4 .8 .8]\r\n\t\t[.6 .8 .8]\r\n\t\t[.8 .8 .8]\r\n\t]\r\ndef\r\n\r\n/layerlen layercolorseq length def\r\n\r\n/setlayer {/maxlayer exch def /curlayer exch def\r\n\tlayercolorseq curlayer 1 sub layerlen mod get\r\n\taload pop sethsbcolor\r\n\t/nodecolor {nopcolor} def\r\n\t/edgecolor {nopcolor} def\r\n\t/graphcolor {nopcolor} def\r\n} bind def\r\n\r\n/onlayer { curlayer ne {invis} if } def\r\n\r\n/onlayers {\r\n\t/myupper exch def\r\n\t/mylower exch def\r\n\tcurlayer mylower lt\r\n\tcurlayer myupper gt\r\n\tor\r\n\t{invis} if\r\n} def\r\n\r\n/curlayer 0 def\r\n\r\n%%EndResource\r\n%%EndProlog\r\n%%BeginSetup\r\n14 default-font-family set_font\r\n1 setmiterlimit\r\n% /arrowlength 10 def\r\n% /arrowwidth 5 def\r\n\r\n% make sure pdfmark is harmless for PS-interpreters other than Distiller\r\n/pdfmark where {pop} {userdict /pdfmark /cleartomark load put} ifelse\r\n% make '<<' and '>>' safe on PS Level 1 devices\r\n/languagelevel where {pop languagelevel}{1} ifelse\r\n2 lt {\r\n userdict (<<) cvn ([) cvn load put\r\n userdict (>>) cvn ([) cvn load put\r\n} if\r\n\r\n%%EndSetup\r\nsetupLatin1\r\n%%Page: 1 1\r\n%%PageBoundingBox: 36 36 44 44\r\n%%PageOrientation: Portrait\r\n0 0 1 beginpage\r\ngsave\r\n36 36 8 8 boxprim clip newpath\r\n1 1 set_scale 0 rotate 40 40 translate\r\nendpage\r\nshowpage\r\ngrestore\r\n%%PageTrailer\r\n%%EndPage: 1\r\n%%Trailer\r\n%%Pages: 1\r\n%%BoundingBox: 36 36 44 44\r\nend\r\nrestore\r\n%%EOF\r\n"

First thing first, the error:
File "C:\Users\Idriss\ANACON~1\envs\R-TENS~1\lib\site-packages\keras\utils\vis_utils.py", line 52, in model_to_dot
_check_pydot()
If we check the file C:\Users\Idriss\ANACON~1\envs\R-TENS~1\lib\site-packages\keras\utils\vis_utils.py and search for the function _check_pydot():
def _check_pydot():
try:
# Attempt to create an image of a blank graph
# to check the pydot/graphviz installation.
pydot.Dot.create(pydot.Dot())
except Exception:
# pydot raises a generic Exception here,
# so no specific class can be caught.
raise ImportError('Failed to import pydot. You must install pydot'
' and graphviz for `pydotprint` to work.')
This error message is lack of information since it catch ALL exception instead of specific execption and raise hard-coded error ImportError(Failed to import blah blah).
To ensure it import the relevant pydot, we should also check import part in that file (Rerun R and library(kerasR) to test):
import os
print("hole 0")
try:
# pydot-ng is a fork of pydot that is better maintained.
import pydot_ng as pydot
print("hole 1")
except ImportError:
# pydotplus is an improved version of pydot
try:
print("hole 1.2")
import pydotplus as pydot
print("hole 2")
except ImportError:
# Fall back on pydot if necessary.
try:
print("hole 3")
import pydot
except ImportError:
print("hole 4")
pydot = None
print("hole -1: " + str(locals())) #alternative way to debug
...
Tips: The safer way to debug is userepr instead of str.
If you manually run python in interactive mode and do pydot.Dot.create(pydot.Dot()), you will find out the exact exception (below is my Linux sample):
xb#dnxb:~/anaconda3/envs/r-tensorflow/bin$ ./python
Python 3.6.3 |Anaconda, Inc.| (default, Nov 20 2017, 20:41:42)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pydot
>>> pydot.Dot()
<pydot.Dot object at 0x7f7d045cdb38>
>>> pydot.Dot
<class 'pydot.Dot'>
>>> pydot.Dot.create(pydot.Dot())
Traceback (most recent call last):
File "/home/xiaobai/anaconda3/envs/r-tensorflow/lib/python3.6/site-packages/pydot.py", line 1878, in create
stderr=subprocess.PIPE, stdout=subprocess.PIPE)
File "/home/xiaobai/anaconda3/envs/r-tensorflow/lib/python3.6/subprocess.py", line 709, in __init__
restore_signals, start_new_session)
File "/home/xiaobai/anaconda3/envs/r-tensorflow/lib/python3.6/subprocess.py", line 1344, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'dot': 'dot'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/xiaobai/anaconda3/envs/r-tensorflow/lib/python3.6/site-packages/pydot.py", line 1883, in create
prog=prog))
Exception: "dot" not found in path.
>>>
Let's print some variables used in the file /home/xiaobai/anaconda3/envs/r-tensorflow/lib/python3.6/site-packages/pydot.py before the line 1878:
try:
print("env: " + str(env))
print("cmdline: " + str(cmdline))
print("tmp_dir: " + str(tmp_dir))
p = subprocess.Popen(
cmdline,
env=env,
cwd=tmp_dir,
shell=False,
stderr=subprocess.PIPE, stdout=subprocess.PIPE)
except OSError as e:
if e.errno == os.errno.ENOENT:
raise Exception(
'"{prog}" not found in path.'.format(
prog=prog))
else:
raise
Restart your python interpreter, rerun the import pydot and pydot.Dot.create(pydot.Dot()), it will shows:
xb#dnxb:~/anaconda3/envs/r-tensorflow/bin$ ./python
Python 3.6.3 |Anaconda, Inc.| (default, Nov 20 2017, 20:41:42)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import pydot
>>> pydot.Dot.create(pydot.Dot())
env: {'PATH': '/home/xiaobai/anaconda3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:...<My other PATH>'}
cmdline: ['dot', '-Tps', '/tmp/tmpffo17gx5']
tmp_dir: /tmp
Traceback (most recent call last):
File "/home/xiaobai/anaconda3/envs/r-tensorflow/lib/python3.6/site-packages/pydot.py", line 1881, in create
stderr=subprocess.PIPE, stdout=subprocess.PIPE)
So basically what it does is run the command dot -Tps /tmp/tmpffo17gx5 but failed due to dot command not found.
In Linux, it will suggest run sudo apt install graphviz to install dot if I run the command manually in terminal:
xb#dnxb:~/anaconda3/envs/r-tensorflow/bin$ dot
The program 'dot' is currently not installed. You can install it by typing:
sudo apt install graphviz
xb#dnxb:~/anaconda3/envs/r-tensorflow/bin$ sudo apt install graphviz
...
Run dot -Tps /tmp/tmpffo17gx5 will success now:
xb#dnxb:~/anaconda3/envs/r-tensorflow/bin$ dot -Tps /tmp/tmpffo17gx5
%!PS-Adobe-3.0
%%Creator: graphviz version 2.38.0 (20140413.2041)
%%Title: G
%%Pages: (atend)
%%BoundingBox: (atend)
%%EndComments
save
%%BeginProlog
/DotDict 200 dict def
DotDict begin
...
Restart R session, no more error:
> plot_model(model)
>
This sudo apt install graphviz is for Linux, but I hope this answer help you debug the error in Windows.

You should install the Python libraries:
pip install pydot graphviz
And also you need to download the graphviz binaries, and these are not installed with Python.
On Ubuntu you can install them with apt:
apt-get install -y graphviz libgraphviz-dev
On osX with brew:
brew install graphviz
For Windows and other operating systems, the instructions can be found at http://www.graphviz.org/

Related

Jupyter script with images for standalone

New to python created a very simple script but seem to be running into issues with images.
I want to take this script and create a standalone.
However when I did it originally without tkinter or imagetk the file would open and close immediately so I tried this.
You can see the error messages I get below the code.
> <sub>`import tkinter as tk from PIL import Image, ImageTk
>
> while True:
> name = input("\nWhat is your name? ")
>
> print(f'\nNice to meet you {name}')
>
> age = input("\nHow old are you? ")
> age = int(age)
> if age >= 40:
> # Open the "old" image
> image = Image.open(r'old.jpg')
> else:
> # Open the "young" image
> image = Image.open(r'young.jpg')
>
> # Convert the image to a PhotoImage object
> photo_image = ImageTk.PhotoImage(image)
>
> # Create a Tkinter window
> root = tk.Tk()
>
> # Create a label and set the image as its background
> label = tk.Label(root, image=photo_image)
> label.pack()
>
> # Run the Tkinter event loop
> root.mainloop()
>
> exit_prompt = input("\nEnter 'exit' to close the script, or press Enter to continue: ")
> if exit_prompt == "exit":
> break
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_9860\2051054611.py in <module>
17
18 # Convert the image to a PhotoImage object
---> 19 photo_image = ImageTk.PhotoImage(image)
20
21 # Create a Tkinter window
~\anaconda3\lib\site-packages\PIL\ImageTk.py in __init__(self, image, size, **kw)
138 self.__mode = mode
139 self.__size = size
--> 140 self.__photo = tkinter.PhotoImage(**kw)
141 self.tk = self.__photo.tk
142 if image:
~\anaconda3\lib\tkinter\__init__.py in __init__(self, name, cnf, master, **kw)
4062 Valid resource names: data, format, file, gamma, height, palette,
4063 width."""
-> 4064 Image.__init__(self, 'photo', name, cnf, master, **kw)
4065
4066 def blank(self):
~\anaconda3\lib\tkinter\__init__.py in __init__(self, imgtype, name, cnf, master, **kw)
3995 self.name = None
3996 if not master:
-> 3997 master = _get_default_root('create image')
3998 self.tk = getattr(master, 'tk', master)
3999 if not name:
~\anaconda3\lib\tkinter\__init__.py in _get_default_root(what)
295 if not _default_root:
296 if what:
--> 297 raise RuntimeError(f"Too early to {what}: no default root window")
298 root = Tk()
299 assert _default_root is root
RuntimeError: Too early to create image: no defa
ult root window`
I think you only need to call image.show() after image is opened if you want to show it.
from PIL import Image
while True:
name = input("\nWhat is your name? ")
print(f'\nNice to meet you {name}')
age = input("\nHow old are you? ")
age = int(age)
if age >= 40:
# Open the "old" image
image = Image.open(r'old.jpg')
else:
# Open the "young" image
image = Image.open(r'young.jpg')
image.show()
Once that issue was fixed I was getting the following error:
--------------------------------------------------------------------------- TclError Traceback (most recent call
last) ~\AppData\Local\Temp\ipykernel_11772\4142766009.py in
26
27 # Create a label and set the image as its background
---> 28 label = tk.Label(root, image=photo_image)
29 label.image = photo_image # Keep a reference to the PhotoImage object
30 label.pack()
~\anaconda3\lib\tkinter_init_.py in init(self, master, cnf,
**kw) 3146 3147 """
-> 3148 Widget.init(self, master, 'label', cnf, kw) 3149 3150
~\anaconda3\lib\tkinter_init_.py in init(self, master,
widgetName, cnf, kw, extra) 2570 for k, v in classes:
2571 del cnf[k]
-> 2572 self.tk.call( 2573 (widgetName, self._w) + extra + self._options(cnf)) 2574 for k, v in
classes:
TclError: image "pyimage28" doesn't exist
I tried fixing it by storing the image:
import tkinter as tk from tkinter import PhotoImage from PIL import
Image, ImageTk
while True:
name = input("\nWhat is your name? ")
print(f'\nNice to meet you {name}')
age = input("\nHow old are you? ")
age = int(age)
if age >= 40:
# Open the "old" image
image = Image.open(r'old.jpg')
else:
# Open the "young" image
image = Image.open(r'young.jpg')
# Convert the image to a PhotoImage object
photo_image = PhotoImage(image)
# Create a Tkinter window
root = tk.Tk()
# Create a label and set the image as its background
label = tk.Label(root, image=photo_image)
label.image = photo_image # Keep a reference to the PhotoImage object
label.pack()
# Run the Tkinter event loop
root.mainloop()
exit_prompt = input("\nEnter 'exit' to close the script, or press Enter to continue: ")
if exit_prompt == "exit":
break

Download multiple 10-ks documents

I need to download multiple 10-ks documents, however, this code works fine if i download the 10-ks between 5-10 companies. But if i increase the number of companies in [cik_lookup function]. Here's code.
import nltk
import numpy as np
import pandas as pd
import pickle
import pprint
import project_helper
from tqdm import tqdm
Here's the py file that includes project_helper functions.
import matplotlib.pyplot as plt
import requests
from ratelimit import limits, sleep_and_retry
class SecAPI(object):
SEC_CALL_LIMIT = {'calls': 10, 'seconds': 1}
#staticmethod
#sleep_and_retry
# Dividing the call limit by half to avoid coming close to the limit
#limits(calls=SEC_CALL_LIMIT['calls'] / 2, period=SEC_CALL_LIMIT['seconds'])
def _call_sec(url):
return requests.get(url)
def get(self, url):
return self._call_sec(url).text
def print_ten_k_data(ten_k_data, fields, field_length_limit=50):
indentation = ' '
print('[')
for ten_k in ten_k_data:
print_statement = '{}{{'.format(indentation)
for field in fields:
value = str(ten_k[field])
# Show return lines in output
if isinstance(value, str):
value_str = '\'{}\''.format(value.replace('\n', '\\n'))
else:
value_str = str(value)
# Cut off the string if it gets too long
if len(value_str) > field_length_limit:
value_str = value_str[:field_length_limit] + '...'
print_statement += '\n{}{}: {}'.format(indentation * 2, field, value_str)
print_statement += '},'
print(print_statement)
print(']')
The first step it to download NLP Corpora.
nltk.download('stopwords')
nltk.download('wordnet')
Than Get 10ks
#cik_lookup = {
# 'GOOGL':'0001288776',
# 'AAPL':'0000320193',
# 'FACEBOOK':'0001326801',
# 'AMZN':'0001018724',
# 'MSFT':'0000789019'}
cik_lookup = {
'AEP': '0000004904',
'AXP': '0000004962',
'BA': '0000012927',
'BK': '0001390777',
'CAT': '0000018230',
'DE': '0000315189',
'DIS': '0001001039',
'DTE': '0000936340',
'ED': '0001047862',
'EMR': '0000032604',
'ETN': '0001551182',
'GE': '0000040545',
'IBM': '0000051143',
'IP': '0000051434',
'JNJ': '0000200406',
'KO': '0000021344',
'LLY': '0000059478',
'MCD': '0000063908',
'MO': '0000764180',
'MRK': '0000310158',
'MRO': '0000101778',
'PCG': '0001004980',
'PEP': '0000077476',
'PFE': '0000078003',
'PG': '0000080424',
'PNR': '0000077360',
'SYY': '0000096021',
'TXN': '0000097476',
'UTX': '0000101829',
'WFC': '0000072971',
'WMT': '0000104169',
'WY': '0000106535',
'XOM': '0000034088'}
Get list of 10-ks
sec_api = project_helper.SecAPI()
from bs4 import BeautifulSoup
def get_sec_data(cik, doc_type, start=0, count=60):
newest_pricing_data = pd.to_datetime('2021-01-01')
rss_url = 'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany' \
'&CIK={}&type={}&start={}&count={}&owner=exclude&output=atom' \
.format(cik, doc_type, start, count)
sec_data = sec_api.get(rss_url)
feed = BeautifulSoup(sec_data.encode('utf-8'), 'xml').feed
entries = [
(
entry.content.find('filing-href').getText(),
entry.content.find('filing-type').getText(),
entry.content.find('filing-date').getText())
for entry in feed.find_all('entry', recursive=False)
if pd.to_datetime(entry.content.find('filing-date').getText()) <= newest_pricing_data]
return entries
example_ticker = 'AEP'
sec_data = {}
for ticker, cik in cik_lookup.items():
sec_data[ticker] = get_sec_data(cik, '10-K')
The code works fine if i download the 10-ks between 5-10 companies. But if i increase the number of companies in [cik_lookup function] I get the following error. The first error I got is as below.
UnicodeEncodeError Traceback (most recent call last)
<ipython-input-8-28a784054794> in <module>()
20
21 for ticker, cik in cik_lookup.items():
---> 22 sec_data[ticker] = get_sec_data(cik, '10-K')
<ipython-input-8-28a784054794> in get_sec_data(cik, doc_type, start, count)
5 rss_url = 'https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany' '&CIK={}&type={}&start={}&count={}&owner=exclude&output=atom' .format(cik, doc_type, start, count)
6 sec_data = sec_api.get(rss_url)
----> 7 feed = BeautifulSoup(sec_data.encode('ascii'), 'xml').feed
8 entries = [
9 (
UnicodeEncodeError: 'ascii' codec can't encode characters in position 2599-2601: ordinal not in range(128)
However, after some google search over BeutifulSoup(ecodes) I changed it to utf-8 and then got the following error.
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-9-9c77ed07af2d> in <module>()
20
21 for ticker, cik in cik_lookup.items():
---> 22 sec_data[ticker] = get_sec_data(cik, '10-K')
<ipython-input-9-9c77ed07af2d> in get_sec_data(cik, doc_type, start, count)
11 entry.content.find('filing-type').getText(),
12 entry.content.find('filing-date').getText())
---> 13 for entry in feed.find_all('entry', recursive=False)
14 if pd.to_datetime(entry.content.find('filing-date').getText()) <= newest_pricing_data]
15
AttributeError: 'NoneType' object has no attribute 'find_all'
The project can be accessed here at the following github repo.
github repo herealso.

How to resolve error " Hunk #2 FAILED at 456. 1 out of 2 hunks FAILED"

I am trying to run the following command in ubuntu terminal
patch -p0 -i adjustmentFile.patch
That is giving the following error
patching file ./src/helpStructures/CastaliaModule.cc
patching file ./src/node/communication/mac/tunableMac/TunableMAC.cc
Hunk #2 FAILED at 456.
1 out of 2 hunks FAILED -- saving rejects to file ./src/node/communication/mac/tunableMac/TunableMAC.cc.rej
I tried almost all the ways suggested in the link Hunk #1 FAILED at 1. What's that mean?. However, nothing worked.
Here is my version detail
VIM - Vi IMproved 8.0 (2016 Sep 12, compiled Jun 06 2019 17:31:41)
Included patches: 1-1453
The patch file:
diff -r -u ./src/helpStructures/CastaliaModule.cc ./src/helpStructures/CastaliaModule.cc
--- ./src/helpStructures/CastaliaModule.cc 2010-12-09 09:56:47.000000000 -0300
+++ ./src/helpStructures/CastaliaModule.cc 2011-12-20 00:16:39.944320051 -0300
## -180,6 +180,8 ##
classPointers.resourceManager = getParentModule()->getParentModule()->getSubmodule("ResourceManager");
else if (name.compare("SensorManager") == 0)
classPointers.resourceManager = getParentModule()->getSubmodule("ResourceManager");
+ else if (name.compare("Routing") == 0)
+ classPointers.resourceManager = getParentModule()->getParentModule()->getSubmodule("ResourceManager");
else
opp_error("%s module has no rights to call drawPower() function", getFullPath().c_str());
if (!classPointers.resourceManager)
Only in ./src/helpStructures: CastaliaModule.cc~
diff -r -u ./src/node/communication/mac/tunableMac/TunableMAC.cc ./src/node/communication/mac/tunableMac/TunableMAC.cc
--- ./src/node/communication/mac/tunableMac/TunableMAC.cc 2011-03-30 02:14:34.000000000 -0300
+++ ./src/node/communication/mac/tunableMac/TunableMAC.cc 2011-12-19 23:57:43.894686687 -0300
## -405,6 +405,8 ##
void TunableMAC::fromRadioLayer(cPacket * pkt, double rssi, double lqi)
{
TunableMacPacket *macFrame = dynamic_cast <TunableMacPacket*>(pkt);
+ macFrame->getMacRadioInfoExchange().RSSI = rssi;
+ macFrame->getMacRadioInfoExchange().LQI = lqi;
if (macFrame == NULL){
collectOutput("TunableMAC packet breakdown", "filtered, other MAC");
return;
## -454,7 +456,8 ##
}
case DATA_FRAME:{
- toNetworkLayer(macFrame->decapsulate());
+ cPacket *netPkt = decapsulatePacket(macFrame);
+ toNetworkLayer(netPkt);
collectOutput("TunableMAC packet breakdown", "received data pkts");
if (macState == MAC_STATE_RX) {
cancelTimer(ATTEMPT_TX);
Only in ./src/node/communication/mac/tunableMac: TunableMAC.cc~
Patching takes some changes made to a file X, and applies them to a different instance of file X. That is, suppose you start with generation 1 of file X; you make changes to get generation 2-a, and someone else starts with generation 1 to make generation 2-b. Now you want to take his edits that created his generation 2-b, and apply them to your generation 2-a.
If 'his' changes clash with 'your' changes, they cannot be automatically patched.
You'll need to look at the changes being made in hunk 2.
- toNetworkLayer(macFrame->decapsulate());
+ cPacket *netPkt = decapsulatePacket(macFrame);
+ toNetworkLayer(netPkt);
and figure out what you want the result to look like. Someone needs to know what the result is supposed to be. You can't resolve conflicts without knowledge of intent.

Restore vgg16 network in tensorflow

This one has been giving me a headache for quite some time now, even though it seems to be very basic.
I have the vgg16 network downloaded as a .cpkt
(from https://github.com/tensorflow/models/blob/master/slim/README.md#Pretrained)
Now what I want to do is loading for example the tensor of the first convolution layer of this network as an array in R.
I tried
restorer = tf$train$Saver()
sess = tf$Session()
restorer$restore(sess, "/home/beheerder/R/vgg_16.ckpt")
But then I do not see any variables apearing in my enviroment.
I'm working in R, but an awnser in Python is OK as well, as I can probably translate it to R.
Saver takes the variables to restore in constructor. In other words, you have to create the variables before you can restore them. Here is the example from Saver's doc:
v1 = tf.Variable(..., name='v1')
v2 = tf.Variable(..., name='v2')
# Pass the variables as a dict:
saver = tf.train.Saver({'v1': v1, 'v2': v2})
# Or pass them as a list.
saver = tf.train.Saver([v1, v2])
If you were to run the first line of your code in python you would get:
In [1]: import tensorflow as tf
In [2]: saver = tf.train.Saver()
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-2-18da33d742f9> in <module>()
----> 1 saver = tf.train.Saver()
/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.pyc in __init__(self, var_list, reshape, sharded, max_to_keep, keep_checkpoint_every_n_hours, name, restore_sequentially, saver_def, builder, defer_build, allow_empty, write_version, pad_step_number)
1054 self._pad_step_number = pad_step_number
1055 if not defer_build:
-> 1056 self.build()
1057 if self.saver_def:
1058 self._check_saver_def()
/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.pyc in build(self)
1075 return
1076 else:
-> 1077 raise ValueError("No variables to save")
1078 self._is_empty = False
1079 self.saver_def = self._builder.build(
ValueError: No variables to save
You can see how model variables are created before being restored in the 20 lines starting from https://github.com/tensorflow/models/blob/master/slim/train_image_classifier.py#L338
This code gets executed if you make a call to train_image_classifier.py similar to the flower example in https://github.com/tensorflow/models/blob/master/slim/README.md#fine-tuning-a-model-from-an-existing-checkpoint

%R magic no longer works in IPython or Jupyter following update to Canopy Ver 1.7.4.3348

Previously %R and %%R magics were working in IPython and Jupyter python notebooks.
The R terminal version is:
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin13.4.0 (64-bit)
After upgrading to Version 1.7.4.3348 in Enthought Canopy, the notebooks and IPython no longer work. I have tried reinstalling following Installing RKernel and http://irkernel.github.io/installation/, which worked before. I run the command to load the R-extension as per
%load_ext rpy2.ipython
I get the error message as follows:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-2-691c6d73b073> in <module>()
----> 1 get_ipython().magic(u'load_ext rpy2.ipython')
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc in magic(self, arg_s)
2161 magic_name, _, magic_arg_s = arg_s.partition(' ')
2162 magic_name = magic_name.lstrip(prefilter.ESC_MAGIC)
-> 2163 return self.run_line_magic(magic_name, magic_arg_s)
2164
2165 #-------------------------------------------------------------------------
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc in run_line_magic(self, magic_name, line)
2082 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals
2083 with self.builtin_trap:
-> 2084 result = fn(*args,**kwargs)
2085 return result
2086
<decorator-gen-64> in load_ext(self, module_str)
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/magic.pyc in <lambda>(f, *a, **k)
191 # but it's overkill for just that one bit of state.
192 def magic_deco(arg):
--> 193 call = lambda f, *a, **k: f(*a, **k)
194
195 if callable(arg):
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/magics/extension.pyc in load_ext(self, module_str)
64 if not module_str:
65 raise UsageError('Missing module name.')
---> 66 res = self.shell.extension_manager.load_extension(module_str)
67
68 if res == 'already loaded':
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/extensions.pyc in load_extension(self, module_str)
82 if module_str not in sys.modules:
83 with prepended_to_syspath(self.ipython_extension_dir):
---> 84 __import__(module_str)
85 mod = sys.modules[module_str]
86 if self._call_load_ipython_extension(mod):
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/rpy2/ipython/__init__.py in <module>()
----> 1 from .rmagic import load_ipython_extension
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/rpy2/ipython/rmagic.py in <module>()
57 template_converter = ro.conversion.converter
58 try:
---> 59 from rpy2.robjects import pandas2ri as baseconversion
60 template_converter = template_converter + baseconversion.converter
61 except ImportError:
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/rpy2/robjects/pandas2ri.py in <module>()
7 INTSXP)
8
----> 9 from pandas.core.frame import DataFrame as PandasDataFrame
10 from pandas.core.series import Series as PandasSeries
11 from pandas.core.index import Index as PandasIndex
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/__init__.py in <module>()
20
21 # numpy compat
---> 22 from pandas.compat.numpy_compat import *
23
24 try:
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/compat/numpy_compat.py in <module>()
13
14 # numpy versioning
---> 15 _np_version = np.version.short_version
16 _np_version_under1p8 = LooseVersion(_np_version) < '1.8'
17 _np_version_under1p9 = LooseVersion(_np_version) < '1.9'
AttributeError: 'module' object has no attribute 'version'
Could it be related to Canopy version of numpy being listed as 1.10.4-1 and the np.version result being 1.11.1 (based on error message)? Any suggestions gratefully received. PS. R works in the console still, plus in terminal and in Jupyter with an R kernel...
The support crew at Enthought examined the version of numpy, then pandas. Reinstalling both did not solve the problem. The unexplained resolution occurred from the pip install theano --upgrade command on the Canopy Terminal. Logging this error as an unexplained issue with %R but with the strong indication that it is about dependency version.

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