def _run_map(self):
args = self.args
threshold = args.threshold
stddevs = args.stddevs
# if doing anything online, revalidate cache
self.cacher.revalidate(args.map_id, self.users_info)
if (args.map_id and args.user_id): # passed both -m and -u but not -l
replays2 = OnlineReplay.from_user_info(self.cacher, args.map_id,
self.users_info)
comparer = Comparer(threshold,
args.silent,
self.replays_check,
replays2=replays2,
stddevs=stddevs)
comparer.compare(mode="double")
return
if (args.map_id): # only passed -m
# get all 50 top replays
replays = OnlineReplay.from_user_info(self.cacher, args.map_id,
self.users_info)
comparer = Comparer(threshold,
args.silent,
replays,
stddevs=stddevs)
comparer.compare(mode="single")
return
def _run_map(self):
args = self.args
# if doing anything online, revalidate cache
Cacher.revalidate(args.map_id, self.users_info)
if (args.map_id and args.user_id): # passed both -m and -u but not -l
replays2 = [
OnlineReplay.from_map(args.map_id, user_id, args.cache,
replay_id)
for user_id, replay_id in self.users_info.items()
]
comparer = Comparer(args.threshold,
self.replays_check,
replays2=replays2)
comparer.compare(mode="double")
return
if (args.map_id): # only passed -m
# get all 50 top replays
replays = [
OnlineReplay.from_map(args.map_id, user_id, args.cache,
replay_id)
for user_id, replay_id in self.users_info.items()
]
comparer = Comparer(args.threshold, replays)
comparer.compare(mode="single")
return
def _run_verify(self):
args = self.args
map_id = self.args.verify[0]
user1_id = self.args.verify[1]
user2_id = self.args.verify[2]
user1_info = Loader.user_info(map_id, user1_id)
user2_info = Loader.user_info(map_id, user2_id)
replay1 = OnlineReplay.from_user_info(self.cacher, map_id, user1_info)
replay2 = OnlineReplay.from_user_info(self.cacher, map_id, user2_info)
comparer = Comparer(args.threshold,
args.silent,
replay1,
replays2=replay2,
stddevs=args.stddevs)
comparer.compare(mode="double")
def test(self):
first = "This is an Apple.\nThat is a Banana."
second = "No.\nThis is a Banana.\nTHAT is an Apple."
class resolver():
def resolve(self, diffs):
return diffs
diffs = Comparer(resolver()).compare_and_resolve(first, second)
assert (len(diffs[-1]) == 1 and diffs[-1][0] == "n Apple.\nThat is a Banana") and \
(len(diffs[1]) == 2 and "No.\n" in diffs[1] and " Banana.\nTHAT is an Apple" in diffs[1])
def main():
""" This is the entry point"""
valid_file = False
filename1 = input("Please enter first html file name:")
filename2 = input("Please enter the other html file name:")
try:
html1 = FileSource(filename1).get_content_and_close()
html2 = FileSource(filename2).get_content_and_close()
except IOError:
print(
"Unable to open the files. Please make sure they are available and try again."
)
return
resolver = HumanResolver()
Comparer(resolver).compare_and_resolve(HtmlParser().extractContent(html1),
HtmlParser().extractContent(html2))
print("Success. Please check the output.html to see the result.")
def main(): file1Name = sys.argv[1] file2Name = sys.argv[2] comparisonToRun = sys.argv[3] data1 = [] data2 = [] with open(file1Name, 'rb') as csvfile: fileReader = csv.reader(csvfile) for row in fileReader: #print row data1.append(row) with open(file2Name, 'rb') as csvfile: fileReader = csv.reader(csvfile) for row in fileReader: data2.append(row) result = Comparer(data1, data2, comparisonToRun) if comparisonToRun == "totalDescription": result = Comparer(data1, data2, comparisonToRun) result.runTotalDescription() elif comparisonToRun == "BSL": result = Comparer(data1, data2, comparisonToRun) result.runBSL() elif comparisonToRun == "blockingTokens": result.runBlockingTokens() print result.evaluate(result, len(data1), len(data2))
username1 = sys.argv[1]
token1 = auth(username1)
songs1 = makePlaylist(token1, username1)
print("########### Songs in Playlist 1 ##############")
print(songs1)
logoutUser()
username2 = sys.argv[2]
token2 = auth(username2)
songs2 = makePlaylist(token2, username2)
print("########### Songs in Playlist 2 ##############")
print(songs2)
logoutUser()
comparer = Comparer(songs1, songs2)
print("########### Songs shared between both profiles ##############")
comparer.printCommonSongs()
print("########### Similarity Score for the two profiles ##############")
print(f"{comparer.similarity*100} %")
print("\n")
if (comparer.similarity == 1):
print(f"The two profiles are identical!")
elif (comparer.isSimilar(0.000001)):
print(
f"The two profiles are very similar, {username1}, you might like these songs from {username2}'s library:"
)
from flask_cors import CORS
from werkzeug.utils import secure_filename
from parserFnc import Parser
from comparer import Comparer
from analyzer import ResumeAnalyzer
from pdfminer import high_level
from dotenv import load_dotenv
import json
import psycopg2
import os
import sys
import signal
load_dotenv()
p = Parser()
c = Comparer(p, 1000)
a = ResumeAnalyzer(p)
app = Flask(__name__)
CORS(app)
UPLOAD_FOLDER = os.path.join('.', 'static', 'pdfs')
ALLOWED_EXTENSIONS = {'pdf'}
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
@app.route('/api/upload', methods=['POST'])
def upload():
def _run_local(self):
args = self.args
# get all local user replays (used in every --local case)
replays1 = [
LocalReplay.from_path(osr_path) for osr_path in PATH_REPLAYS_USER
]
if (args.map_id and args.user_id):
# compare every local replay with just the given user + map replay
comparer = Comparer(args.threshold,
replays1,
replays2=self.replays_check)
comparer.compare(mode="double")
return
if (args.map_id):
# compare every local replay with every leaderboard entry
replays2 = [
OnlineReplay.from_map(args.map_id, user_id, args.cache,
replay_id)
for user_id, replay_id in self.users_info
]
comparer = Comparer(args.threshold, replays1, replays2=replays2)
comparer.compare(mode="double")
return
if (args.single):
# checks every replay listed in PATH_REPLAYS_USER against every other replay there
comparer = Comparer(args.threshold, replays1)
comparer.compare(mode="single")
return
else:
# checks every replay listed in PATH_REPLAYS_USER against every replay listed in PATH_REPLAYS_CHECK
replays2 = [
LocalReplay.from_path(osr_path)
for osr_path in PATH_REPLAYS_CHECK
]
comparer = Comparer(args.threshold, replays1, replays2=replays2)
comparer.compare(mode="double")
return
def _run_local(self):
args = self.args
# get all local replays (used in every --local case)
replays1 = [
LocalReplay.from_path(osr_path) for osr_path in self.PATH_REPLAYS
]
threshold = args.threshold
stddevs = args.stddevs
if (args.map_id and args.user_id):
# compare every local replay with just the given user + map replay
comparer = Comparer(threshold,
args.silent,
replays1,
replays2=self.replays_check,
stddevs=stddevs)
comparer.compare(mode="double")
return
if (args.map_id):
# compare every local replay with every leaderboard entry
replays2 = OnlineReplay.from_user_info(self.cacher, args.map_id,
self.users_info)
comparer = Comparer(threshold,
args.silent,
replays1,
replays2=replays2,
stddevs=stddevs)
comparer.compare(mode="double")
return
else:
comparer = Comparer(threshold,
args.silent,
replays1,
stddevs=stddevs)
comparer.compare(mode="single")
def compare_models():
c = Comparer(no_of_testcases=100, nb=nb, bw=bw)
c.ready()
c.compare()
unusedVariables = slvr.findUnusedVariables()
if len(unusedVariables):
logger.warning(
"There are some unused input varables: %s\n" %
(str(unusedVariables)))
if args.graph:
grph.export()
except Exception:
print(traceback.format_exc())
if args.nozzleplot:
nozzleplotter = NozzlePlotter(rocketModels)
nozzleplotter.make()
if args.compare:
comparer = Comparer(rocketModels)
comparer.make()
if args.postproc:
postProcesser = PostProcesser(rocketModels)
postProcesser.make()
if args.latex:
latexer = Latexer(rocketModels)
latexer.make()
if args.outputcea:
outputcea = OutputCea(rocketModels)
outputcea.make()
#pp.pprint(rocketModels)
yield skip
# Shift by the precalculated offset given by the character in the text
# at the far right of the pattern, so that it lines up with an equal
# character in the pattern, if posssible. Otherwise the pattern is
# moved to after this position.
skip += table[text[skip + len(pattern) - 1]]
if __name__ == "__main__":
try:
pattern = argv[1]
text = argv[2]
except IndexError:
print("usage: python3 bmh.py PATTERN TEXT")
exit()
print(f'Searching for "{pattern}" in "{text}".')
print()
compare = Comparer()
table = precalc(pattern)
print(f'Precomputed shift table: {dict(table)}')
print()
for match in run_bmh(table, text, pattern, compare):
print(f"Match found at position {match}")
print(f"{compare.count} comparisons")
def compareAnnotations(self):
comparer = Comparer(self.Form)
comparer.compareAnnotations()