136 lines
4.2 KiB
Python
136 lines
4.2 KiB
Python
import sys, json, re, os
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# usage: json-cleanup-for-pdf.py <int>
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# if int>0, disable PDF mode (only do WWW cleanup, note metadata.name still needs to be cleaned up manually)
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# disableWrites = True # debugging
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pdfMode = True
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print(format(sys.argv))
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if len(sys.argv)>1:
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if int(sys.argv[1])>0:
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print("WWW mode on")
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pdfMode = False
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fileList = [
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"diffphys-code-burgers.ipynb", "diffphys-code-ns.ipynb", "diffphys-code-sol.ipynb", "physicalloss-code.ipynb", # TF
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"bayesian-code.ipynb", "supervised-airfoils.ipynb", # pytorch
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"reinflearn-code.ipynb", # phiflow
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"physgrad-comparison.ipynb", # jax
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"physgrad-code.ipynb", # pip
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]
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#fileList = [ "physgrad-code.ipynb"] # debug, only 1 file
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# main
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for fnOut in fileList:
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# create backups
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fn0 = fnOut[:-5] + "bak"
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fn = fn0 + "0"; cnt = 0
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while os.path.isfile(fn):
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#print("Error: "+fn+" already exists!"); exit(1)
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print("Warning: "+fn+" already exists!")
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fn = fn0 + format(cnt); cnt=cnt+1
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print("renaming "+fnOut+ " to "+fn )
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if os.path.isfile(fnOut):
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os.rename(fnOut, fn)
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if not os.path.isfile(fn):
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print("Error: "+fn+" missing!")
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exit(1)
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with open(fn) as file:
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d = json.load(file)
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#print(d.keys()) #print(d["cells"][0].keys())
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# remove TF / pytorch warnings, build list of regular expressions to search for
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res = []
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res.append( re.compile(r"WARNING:tensorflow:") )
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res.append( re.compile(r"UserWarning:") )
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res.append( re.compile(r"DeprecationWarning:") )
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res.append( re.compile(r"InsecureRequestWarning") ) # for https download
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res.append( re.compile(r"Building wheel") ) # phiflow install, also gives weird unicode characters
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res.append( re.compile(r"warnings.warn") ) # phiflow warnings
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res.append( re.compile(r"WARNING:absl") ) # jax warnings
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res.append( re.compile(r"ERROR: pip") ) # pip dependencies
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res.append( re.compile(r"requires imgaug") ) # pip dependencies
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res.append( re.compile(r"See the documentation of nn.Upsample") ) # pip dependencies
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# remove all "warnings.warn" from phiflow?
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# shorten data line: "0.008612174447657694, 0.02584669669548606, 0.043136357266407785"
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reD = re.compile(r"\[0.008612174447657694, 0.02584669669548606, 0.043136357266407785.+\]" )
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reDt = "[0.008612174447657694, 0.02584669669548606, 0.043136357266407785 ... ]"
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t="cells"
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okay = 0
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deletes = 0
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for i in range(len(d[t])):
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#for i in range(len(d[t])):
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#print(d[t][0]["cell_type"])
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#print(d[t][i]["cell_type"])
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# remove images after code
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if d[t][i]["cell_type"]=="code":
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#print(d[t][i].keys())
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#d[t][i]["outputs"] = ""
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#print(d[t][i]["outputs"])
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if pdfMode:
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for j in range(len( d[t][i]["source"] )):
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#print( d[t][i]["source"][j] )
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#print( type(d[t][i]["source"][j] ))
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dsOut = reD.sub( reDt, d[t][i]["source"][j] ) # replace long number string (only for burgers)
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d[t][i]["source"][j] = dsOut
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deletes = deletes+1
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#print( d[t][i]["source"][j] +"\n >>> \n" +d2 )
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#print(len( d[t][i]["outputs"] ))
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for j in range(len( d[t][i]["outputs"] )):
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#print(type( d[t][i]["outputs"][j] ))
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#print( d[t][i]["outputs"][j].keys() )
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# images
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if d[t][i]["outputs"][j]["output_type"]=="stream":
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#print("len "+ len( d[t][i]["outputs"][j]["text"] ) )
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dell = [] # collect entries to delete
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for k in range( len( d[t][i]["outputs"][j]["text"] ) ):
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#print(" tout "+ d[t][i]["outputs"][j]["text"][k] ) # debug , print all lines
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nums = []; all_good = True
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for rr in range(len(res)):
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nums.append( res[rr].search( d[t][i]["outputs"][j]["text"][k] ) )
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if nums[-1] is not None:
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all_good = False # skip!
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if all_good:
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okay = okay+1
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else: # delete line "dell"
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deletes = deletes+1
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dell.append(d[t][i]["outputs"][j]["text"][k])
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#print( format(nums) +" " + d[t][i]["outputs"][j]["text"][k] ) # len( d[t][i]["outputs"][j]["text"][k] ) )
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for dl in dell:
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d[t][i]["outputs"][j]["text"].remove(dl)
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#print("len after "+format( len( d[t][i]["outputs"][j]["text"] )) + " A") # debug
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if deletes==0:
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print("Warning: Nothing found in "+fn+"!")
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if not os.path.isfile(fnOut):
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os.rename(fn, fnOut)
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else:
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print("Error, both files exist!?")
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exit(1)
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else:
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print(" ... writing "+fnOut )
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with open(fnOut,'w') as fileOut:
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json.dump(d,fileOut, indent=1, sort_keys=True)
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