def do_run_test():
# Rotating and or blurring images to create larger and balanced classes
x, y = ia.load_data(128, 15000)
# Restore convolutional neural network and build confusion matrix
restore_test.run_test(x, y, model_path)
# Test the neural network on the hotdog and not_hotdog jpg
check.run(model_path)
end_time = time.time()
print('Total Run Time {}'.format(round(end_time - start_time, 0)))
def do_run_all():
while True:
try:
epoch_param = input('How many epochs would you like to run? \n')
epoch_param = int(epoch_param)
except ValueError:
print('Please enter valid integer')
continue
else:
break
while True:
try:
learn_param = input(
'What do you want your learning rate would you like to use? \n'
)
learn_param = float(learn_param)
except ValueError:
print('Please enter valid float')
else:
break
# This function will scrape images from Image.net
scrape_images.read_images_to_folder()
# # Removing all of the invalid or null images
rm.remove_invalid(paths)
# Rotating and or blurring images to create larger and balanced classes
x, y = ia.load_data(128, 15000)
# Run convolutional neural network
total_loss, accuracy = cnn.run(x,
y,
epochs=epoch_param,
learning_rate=learn_param)
# Restore convolutional neural network and build confusion matrix
restore_test.run_test(x, y, model_path)
# Test the neural network on the hotdog and not_hotdog jpg
check.run(model_path)
end_time = time.time()
print('Total Run Time {}'.format(round(end_time - start_time, 0)))
def main():
if len(sys.argv) < 3:
error_message()
mode = sys.argv[1]
if mode == '-t':
if len(sys.argv) != 3:
error_message()
folder_name = sys.argv[2]
if os.path.isdir(folder_name):
train.run(folder_name)
print(folder_name + ".json created")
else:
print("Folder does not exist.")
elif mode == '-c':
if len(sys.argv) != 4:
error_message()
book_filename = sys.argv[2]
author_profile_filename = sys.argv[3]
if not book_filename.endswith(".txt"):
print("book must be .txt file")
exit()
if not author_profile_filename.endswith(".json"):
print("author profile must be .json file")
exit()
check.run(book_filename, author_profile_filename)
else:
error_message()
else:
print('存入MongoDB失败....', proxy)
return False
def run(self, page_cnt):
html = self.get_html(str(page_cnt))
if html is not None:
proxies = self.parse_ip(html)
for proxy in proxies:
if proxy is not None:
if self.verify_proxy(proxy):
try:
self.save_to_mongodb(proxy)
except ServerSelectionTimeoutError:
print('ServerSelectionTimeoutError: Connection refused!')
if __name__ == '__main__':
logging.debug('---------------------------------------------------------Go!')
check.run()
app = Kuaidaili()
html = app.get_html()
page_cnt = app.parse_page_cnt(html)
pool = Pool()
pool.map(app.run, [i for i in range(1, int(page_cnt) + 1)])
from rpy2.robjects import r as R
from check import start_log, check, run, save_grades
lab = "ex2"
language = "r"
possible = 6
record = True # turn on when ready to record grades
g = globals()
score = start_log(lab, 0, possible, g, record, language)
r_source = R['source']
try:
m = r_source(lab+'.R')
except:
pass
run("R('testInput = c(\" hello \")')", g)
run("R('correctOutput = c(\"hello\")')", g)
run("R('functionOutput = rmMultipleBlanks(testInput)')", g)
score += check("R('all.equal(correctOutput, functionOutput)')[0]", True, 3, g)
run("R('testInput = c(\" hello, world \", \"\\n \\tStat 133 \")')", g)
run("R('correctOutput = c(\"hello, world\", \"Stat 133\")')", g)
run("R('functionOutput = rmMultipleBlanks(testInput)')", g)
score += check("R('all.equal(correctOutput, functionOutput)')[0]", True, 3, g)
save_grades(lab, score, possible, record)
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#
from __future__ import print_function
import sys, os
base = os.path.dirname(os.path.dirname(os.path.abspath(sys.argv[0])))
rtems = os.path.dirname(base)
sys.path = [rtems] + sys.path
try:
import check
check.run(sys.argv[1:])
except ImportError:
print("Incorrect RTEMS Tools installation", file=sys.stderr)
sys.exit(1)
from rpy2.robjects import r as R
from check import start_log, check, run, save_grades
lab = "ex1"
language = "r"
possible = 6
record = True # turn on when ready to record grades
g = globals()
score = start_log(lab, 0, possible, g, record, language)
r_source = R['source']
try:
m = r_source(lab+'.R')
except:
pass
run("R('testInput = c(\"023-45-7890\") ')", g)
run("R('correctOutput = c(\"023-45-7890\") ')", g)
run("R('functionOutput = extractSecuNum(testInput)')", g)
score += check("R('all.equal(correctOutput, functionOutput)')[0]", True, 3, g)
run("R('testInput = c( \"For example\", \"023-45-7890\", \"would be a valid value\", \"but 05-09-1995\", \"and 059-2-27 would not be.\", \"Also 011-99-2234 is okay.\") ')", g)
run("R('correctOutput = c( \"023-45-7890\", \"011-99-2234\") ')", g)
run("R('functionOutput = extractSecuNum(testInput)')", g)
score += check("R('all.equal(correctOutput, functionOutput)')[0]", True, 3, g)
save_grades(lab, score, possible, record)
from rpy2.robjects import r as R
from check import start_log, check, run, save_grades
lab = "ex4"
language = "r"
possible = 6
record = True # turn on when ready to record grades
g = globals()
score = start_log(lab, 0, possible, g, record, language)
r_source = R['source']
try:
m = r_source(lab+'.R')
except:
pass
run("R('testInput = factor(c(11,0,40,-1))')", g)
run("R('correctOutput = 50')", g)
run("R('functionOutput = sumFactor(testInput)')", g)
score += check("R('all.equal(correctOutput, functionOutput)')[0]", True, 3, g)
run("R('testInput = factor(c(1,0,2,3,2,1,1,1))')", g)
run("R('correctOutput = 11')", g)
run("R('functionOutput = sumFactor(testInput)')", g)
score += check("R('all.equal(correctOutput, functionOutput)')[0]", True, 3, g)
save_grades(lab, score, possible, record)
# # RTEMS Tools Project (http://www.rtems.org/) # Copyright 2010-2012 Chris Johns ([email protected]) # All rights reserved. # # This file is part of the RTEMS Tools package in 'rtems-tools'. # # Permission to use, copy, modify, and/or distribute this software for any # purpose with or without fee is hereby granted, provided that the above # copyright notice and this permission notice appear in all copies. # # THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES # WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF # MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR # ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES # WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN # ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF # OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. from __future__ import print_function import sys, os try: import check check.run() except ImportError: print("Incorrect Source Builder installation", file = sys.stderr) sys.exit(1)
lab = "ex5"
language = "r"
possible = 24
record = True # turn on when ready to record grades
g = globals()
score = start_log(lab, 0, possible, g, record, language)
r_source = R['source']
try:
m = r_source(lab+'.R')
except:
pass
run("R('x1 = c(10000, 1:999)')", g)
run("R('x2 = c(1:900, rep(NA, 100))')", g)
run("R('x3 = c(1:800, rep(NA, 200))')", g)
run("R('y = c(1:999, NA)')", g)
run("R('naR = 0.5; naC = 0.05')", g)
run("R('data = data.frame(X1=x1, X2=x2, X3=x3, X4=y, X5=y, X6=y, X7=y, X8=y, X9=y, X10=y)')", g)
run("R('cleanData = data[-c(1,1000), -c(2,3)]')", g)
run("R('dfDiag = dfDiagnosis(data, naRow=naR, naCol=naC)')", g)
score += check("R('all.equal(class(dfDiag), \\'dfDiagnosis\\')')[0]", True, 3, g)
score += check("R('all.equal(length(dfDiag), 6)')[0]", True, 3, g)
score += check("R('all.equal(dfDiag$rawData, data)')[0]", True, 3, g)
score += check("R('all.equal(dfDiag$thresholds, c(naR,naC))')[0]", True, 3, g)
score += check("R('all.equal(dfDiag$badRows, 1000)')[0]", True, 3, g)
score += check("R('all.equal(dfDiag$badCols, c(2,3))')[0]", True, 3, g)
score += check("R('all.equal(dfDiag$outliers, list(c(1,1)))')[0]", True, 3, g)
score += check("R('all.equal(dfDiag$cleanData, cleanData)')[0]", True, 3, g)
from check import start_log, check, run, save_grades
lab = "ex3"
language = "r"
possible = 6
record = True # turn on when ready to record grades
g = globals()
score = start_log(lab, 0, possible, g, record, language)
r_source = R['source']
try:
m = r_source(lab+'.R')
except:
pass
run("R('testInput = c(\\'\"line\" \"t\"\\')')", g)
run("R('correctOutput = c(\\'\"line\" \"t\"\\')')", g)
run("R('functionOutput = keepDoubleQuotesOnly(testInput)')", g)
score += check("R('all.equal(correctOutput, functionOutput)')[0]", True, 3, g)
run("R('testInput = c(\\'this \"line\" has \"quoted\" \"strings\"\\', \\'theres \"one\" quoted string\\', \\'\"one\" more to follow \"two\"\\', \\'Heres a quote \"\\', \\'\"a\"\"b\"\\')')", g)
run("R('correctOutput = c(\\'this \"line\" has \"quoted\" \"strings\"\\', \\'\"one\" more to follow \"two\"\\', \\'\"a\"\"b\"\\')')", g)
run("R('functionOutput = keepDoubleQuotesOnly(testInput)')", g)
score += check("R('all.equal(correctOutput, functionOutput)')[0]", True, 3, g)
save_grades(lab, score, possible, record)
