def _im_actions__Ops_2_0(): # /im/im_action
print("[%s:%d] _im_actions__Ops_2_0()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
command = "C:\\WORKS_2\\Programs\\sakura\\sakura.exe"
arg1 = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\3-1) add memo.txt"
# arg1 = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\\"3-1) add memo.txt\""
# command = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\\"3-1) add memo.txt\""
# command = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\'3-1) add memo.txt'"
# command = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\3-1) add memo.txt"
# command = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\test.bat"
# command = "'C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\test.bat'"
# command = "'C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\2-0) edit_memos.9-0.bat'"
# cmd_Full = [command] #=>
cmd_Full = [command, arg1] #=>
res = subprocess.call(cmd_Full)
print("[%s:%d] result (subprocess) =>" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
print(res)
return None
def _im_actions__Ops_11_1(action): # /im/im_action
print("[%s:%d] _im_actions__Ops_11_1()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
'''###################
build : command string
###################'''
command = "%s\\%s" % (cons_im.FPath.DPATH_CMD_LIB_WS_CAKE_IFM11.value, action)
print()
print("[%s:%d] _im_actions__Ops_11_1()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
cmd_Full = [command] #=>
# cmd_Full = [command, arg1] #=>
'''###################
subprocess
###################'''
res = subprocess.call(cmd_Full)
print("[%s:%d] result (subprocess) =>" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
print(res)
return None
def task_1_ShowBase():
strOf_FuncName = "task_1_ShowBase"
'''###################
step : 1
opening, vars
###################'''
print()
print ("[%s:%d] starting : %s (time=%s)" % (
os.path.basename(os.path.basename(libs.thisfile()))
, libs.linenum()
, strOf_FuncName
, libs.get_TimeLabel_Now()
)
)
'''###################
step : 2
###################'''
# class MyApp(ShowBase):
#
# def __init__(self):
# ShowBase.__init__(self)
#
# # Load the environment model.
# self.scene = self.loader.loadModel("models/environment")
# # Reparent the model to render.
# self.scene.reparentTo(self.render)
# # Apply scale and position transforms on the model.
# self.scene.setScale(0.25, 0.25, 0.25)
#
# #code:20210708_162726
# # valOf_Pos_X, valOf_Pos_Y, valOf_Pos_Z = -100, 42, 0
# # valOf_Pos_X, valOf_Pos_Y, valOf_Pos_Z = -400, 42, 0
# # valOf_Pos_X, valOf_Pos_Y, valOf_Pos_Z = -400, 420, 0
# # valOf_Pos_X, valOf_Pos_Y, valOf_Pos_Z = -400, 42, 100
# valOf_Pos_X, valOf_Pos_Y, valOf_Pos_Z = -800, 42, 0
# # valOf_Pos_X = -100
# # # valOf_Pos_X = -50
# # valOf_Pos_Y = 42
# # valOf_Pos_Z = 0
# self.scene.setPos(valOf_Pos_Y, valOf_Pos_Y, valOf_Pos_Z)
# # self.scene.setPos(-8, 42, 0)
'''###################
step : 3
###################'''
app = MyApp()
print()
print ("[%s:%d] 'MyApp' ==> instantiated" % (
os.path.basename(os.path.basename(libs.thisfile()))
, libs.linenum()
)
)
app.run()
def test_2_Calc():
#ref http://docs.sympy.org/latest/tutorial/matrices.html
init_printing(use_unicode=True)
'''###################
vars
###################'''
var("a:z")
'''###################
ops
###################'''
# x = 2
# y = 1
a = Matrix([x, y])
m = Matrix([[n + 1, -n], [n, -n + 1]])
# m = Matrix([[2,-1], [1,0]])
#ref dot https://stackoverflow.com/questions/47839177/sympy-dot-product-results-in-a-list
# prod = a.dot(m) #=> Matrix size mismatch: (2, 1) * (2, 2).
prod = m.dot(a) #=> [2*x - y, x]
# prod = a * m
print(prod)
#ref expand https://stackoverflow.com/questions/34616170/how-to-expand-matrix-expression-in-sympy
print(expand(prod[0]))
print(expand(prod[1]))
for i in range(5):
prod = m.dot(prod)
print()
# print ("[%s:%d] n = %d\nprod = %s\nprod[0] = '%s'" % \
# (os.path.basename(libs.thisfile()), libs.linenum()
# , i + 2
# , prod
# , prod[0]
# ))
# print ("[%s:%d] n = %d\nexpand(prod[0]) => %s\nexpand(prod[1]) => %s" % \
print ("[%s:%d] m = %d\nexpand(prod[0]) => %s\nexpand(prod[1]) => %s" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, i + 2
, expand(prod[0])
, expand(prod[1])
))
# a = Matrix([1,2,3])
#
# a
# print(a)
'''###################
message
###################'''
print()
print("[%s:%d] test_1 => done" %
(os.path.basename(libs.thisfile()), libs.linenum()))
def im_actions(request): # /im/im_action
'''###################
get : params
###################'''
params = request.GET
print("[%s:%d] params =>" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
print(params)
#ref get https://stackoverflow.com/questions/5895588/django-multivaluedictkeyerror-error-how-do-i-deal-with-it answered May 5 '11 at 9:47
action = request.GET.get('action', False)
# action = request.GET['action']
print("[%s:%d] action =>" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
print(action)
now = datetime.datetime.now()
### message
# message = ""
if action == False: #if action == False
message = "no action param"
else: #if action == False
message = "action is => %s" % (action)
print()
print("[%s:%d] %s" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, message
), file=sys.stderr)
### operations
_im_actions__Ops(action)
#/if action == False
#debug
print("[%s:%d] message => '%s'" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, message
), file=sys.stderr)
dic = {'action': action, "message": message}
# dic = {message : _message}
return render(request, 'mm/im_actions.html', dic)
def test_13_Scale():
strOf_FuncName = "test_13_Scale"
'''###################
step : 1
opening, vars
###################'''
print()
print ("[%s:%d] starting : %s (time=%s)" % (
os.path.basename(os.path.basename(libs.thisfile()))
, libs.linenum()
, strOf_FuncName
, libs.get_TimeLabel_Now()
)
)
'''###################
step : 1.1
load : data
###################'''
'''###################
step : 2
prep
###################'''
#ref https://www.w3schools.com/python/python_ml_multiple_regression.asp
df = pandas.read_csv("cars2.csv")
X = df[['Weight', 'Volume']]
scale = StandardScaler()
'''###################
step : 3
scale
###################'''
scaledX = scale.fit_transform(X)
'''###################
step : 4
report
###################'''
#debug
# message
print ("[%s:%d] scaledX ==>"
%
(
os.path.basename(libs.thisfile())
, libs.linenum()
)
)
print(scaledX)
def build_History(tree):
'''###################
root
###################'''
root = tree.getroot()
'''###################
nodes : g-1
###################'''
g1 = root[0]
### add number
# num_Str = ""
# num_Str = "0"
lo_Histories = build_History__Exec(g1)
print()
print("[%s:%d] len(lo_Histories) => %d" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, len(lo_Histories)
), file=sys.stderr)
print()
# print(lo_Histories)
for item in lo_Histories:
print(item.tag + " / " \
+ item.attrib['TEXT'] \
+ " / " + item.attrib['MODIFIED'] \
+ " / len = " + str(len(item)))
# print(item.tag + " / " + item.attrib['TEXT'])
#/for item in lo_Histories :
'''###################
append : history
###################'''
### remove subnodes
print()
print("[%s:%d] showing '%s' (TEXT = '%s' / len = %d) :" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, lo_Histories[1].tag
, lo_Histories[1].attrib['TEXT']
, len(lo_Histories[1])
), file=sys.stderr)
'''###################
build : HISTORY branch
###################'''
build_HISTORY_Branch(g1, lo_Histories)
'''###################
return
###################'''
return tree
def test_1():
strOf_FuncName = "test_1"
'''###################
step : 1
opening, vars
###################'''
print()
print("[%s:%d] starting : %s (time=%s)" %
(os.path.basename(os.path.basename(libs.thisfile())), libs.linenum(),
strOf_FuncName, libs.get_TimeLabel_Now()))
'''###################
step : 2
build : string
###################'''
strOf_Coordinates = "(a_i^%d)*(a_j^%d)"
# strOf_Coordinates = "(a_i^k)*(a_i^l)"
# strOf_Coordinates = "a_i^k*a_i^l"
strOf_Formula = ""
# strOf_Formula = strOf_Coordinates
# wedge
#ref https://wiki.python.org/moin/ForLoop
for x in range(1, 4):
for y in range(1, 4):
#ref https://stackoverflow.com/questions/5309978/sprintf-like-functionality-in-python
strOf_Formula += strOf_Coordinates % (x, y)
strOf_Formula += "("
strOf_Formula += "e->_%d∧e->_%d" % (x, y)
# strOf_Formula += "e->_%d" % (x)
strOf_Formula += ")"
strOf_Formula += "+"
#/for x in range(1, 4):
print()
print(
"[%s:%d] strOf_Formula ==> " %
(os.path.basename(os.path.basename(libs.thisfile())), libs.linenum()))
print(strOf_Formula)
print()
'''###################
def tsp(_aryOf_Numbers, _pointOf_Tsp):
'''###################
step : 1
validate
###################'''
#code:20210728_132355
if _pointOf_Tsp < 1: #if _pointOf_Tsp < 1
print("[%s:%d] ****** ERROR *****" % (os.path.basename(
os.path.basename(libs.thisfile())), libs.linenum()))
print("[%s:%d] _pointOf_Tsp < 1 : %d" % (os.path.basename(
os.path.basename(libs.thisfile())), libs.linenum(), _pointOf_Tsp))
print()
return _aryOf_Numbers
#/if _pointOf_Tsp < 1
'''###################
step : 2
tsp
###################'''
'''###################
step : 2 : 1
show : elements
###################'''
element_1 = _aryOf_Numbers[_pointOf_Tsp - 1]
element_2 = _aryOf_Numbers[_pointOf_Tsp]
print("[%s:%d] element_1 = %d, element_2 = %d" %
(os.path.basename(os.path.basename(
libs.thisfile())), libs.linenum(), element_1, element_2))
print()
'''###################
step : 2 : 2
tsp
###################'''
_aryOf_Numbers[_pointOf_Tsp - 1] = element_2
_aryOf_Numbers[_pointOf_Tsp] = element_1
'''###################
step : 3
return
###################'''
valOf_Ret = _aryOf_Numbers
return valOf_Ret
def importdata():
#code:20210505_162927
fpath_CSV = "C:\\WORKS_2\\WS\\WS_Others.JVEMV6\\JVEMV6\\73_ai\\1_start\\data\\s-19\\balance-scale.data"
print("[%s:%d] loading csv file... : %s" % (os.path.basename(
os.path.basename(libs.thisfile())), libs.linenum(), fpath_CSV))
print()
#ref https://datascienceparichay.com/article/read-csv-files-using-pandas-with-examples/
balance_data = pd.read_csv(fpath_CSV)
# balance_data = pd.read_csv(
# 'https://archive.ics.uci.edu/ml/machine-learning-'+
# 'databases/balance-scale/balance-scale.data',
# sep= ',', header = None)
# Printing the dataswet shape
print("Dataset Length: ", len(balance_data))
print("Dataset Shape: ", balance_data.shape)
# (625, 5)
# Printing the dataset obseravtions
#ref https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.head.html
# print ("Dataset (first 3 rows): \n",balance_data.head(3))
# 0 1 2 3 4
# 0 B 1 1 1 1
# 1 R 1 1 1 2
# 2 R 1 1 1 3
print("Dataset: ", balance_data.head())
return balance_data
def _exec_Numbering(dpath, fname):
fpath = os.path.join(dpath, fname)
tree = ET.parse(fpath)
tree = libmt.add_Numbering__Through(tree)
'''###################
save xml
###################'''
label = "add-numbering-through"
fpath_Out = os.path.join(
dpath, fname
# fname + "." + libs.get_TimeLabel_Now() \
# + "." \
# + "mm"
)
# fpath_Out = "new.%s.%s.mm" % (label, libs.get_TimeLabel_Now())
tree.write(fpath_Out)
print()
print ("[%s:%d] mm => written : %s" % \
(os.path.basename(libs.thisfile()), libs.linenum(), fpath_Out))
return None
def splitdataset(balance_data):
#debug:20210502_170801
print(
"[%s:%d] balance_data.dtypes ==>" %
(os.path.basename(os.path.basename(libs.thisfile())), libs.linenum()))
#ref https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.values.html
print(balance_data.dtypes)
# 0 object
# 1 int64
# 2 int64
# 3 int64
# 4 int64
print()
# Separating the target variable
X = balance_data.values[:, 1:
5] #=> choose : all rows, columns of 1 thru 4 (index-wise, 5th not in)
Y = balance_data.values[:, 0]
# Splitting the dataset into train and test
X_train, X_test, y_train, y_test = train_test_split(X,
Y,
test_size=0.3,
random_state=100)
return X, Y, X_train, X_test, y_train, y_test
def exec_Prog():
#ref http://deeplearning.net/tutorial/gettingstarted.html
# Load the dataset
fname_In = "../data/mnist.pkl.gz"
f = gzip.open(fname_In, 'rb')
# f = gzip.open('mnist.pkl.gz', 'rb')
#ref https://stackoverflow.com/questions/42940851/unicodedecodeerror-ascii-codec-cant-decode-byte-0x8b "answered Mar 22 '17 at 0:58"
train_set, valid_set, test_set = cPickle.load(f, encoding='latin1')
# train_set, valid_set, test_set = cPickle.load(f, encoding='utf-8')
# UnicodeDecodeError: 'utf-8' codec can't decode byte 0x90 in position 614: invali
# d start byte
# train_set, valid_set, test_set = cPickle.load(f, encoding='utf-8')
# train_set, valid_set, test_set = cPickle.load(f)
#d.4,#2
test_set_x, test_set_y = shared_dataset(test_set)
valid_set_x, valid_set_y = shared_dataset(valid_set)
train_set_x, train_set_y = shared_dataset(train_set)
batch_size = 500 # size of the minibatch
# accessing the third minibatch of the training set
data = train_set_x[2 * batch_size:3 * batch_size]
label = train_set_y[2 * batch_size:3 * batch_size]
f.close()
print("[%s:%d] exec_Prog => done" %
(os.path.basename(libs.thisfile()), libs.linenum()))
def exec_prog(): # from :
'''###################
execute
###################'''
#n:20210413_142903
#n:20210412_151638
#n:20210411_172354
#n:20210415_174210
#n:20210414_160053
#n:20210416_153541
#n:20210418_133238
test_16_Tree()
# test_15_Train_Test()
# test_14_Scale_Predict()
# test_13_Scale()
# test_12_Coefficient()
# test_11_Regresson_Multiple()
# test_10_Predict()
# test_9_R_Square()
# test_8_Regression_Poly()
# test_7_Linear_Regression()
# test_6_plot_Scatter()
# test_5_stats_Normal_Distribution()
# test_4_stats_Distribution()
# test_3_stats_Percentile()
# test_2_statistics_StdDev()
# test_1_statistics()
'''###################
Report
###################'''
print ("[%s:%d] exec_prog => done" % (os.path.basename(libs.thisfile()), libs.linenum()))
def test_1_statistics():
strOf_FuncName = "test_1_statistics"
print()
print ("[%s:%d] starting : %s" % (
os.path.basename(os.path.basename(libs.thisfile()))
, libs.linenum()
, strOf_FuncName
)
)
# from scipy import stats
speed = [99,86,87,88,111,86,103,87,94,78,77,85,86]
x_mode = stats.mode(speed)
x_median = numpy.median(speed)
x_mean = numpy.mean(speed)
print()
print("speed : ", speed)
print()
print(x_mode)
print("x_median : ", x_median)
print("x_mean : ", x_mean)
def task_1_Bullet_Hello_World():
strOf_FuncName = "task_1_Bullet_Hello_World"
'''###################
step : 1
opening, vars
###################'''
print()
print ("[%s:%d] starting : %s (time=%s)" % (
os.path.basename(os.path.basename(libs.thisfile()))
, libs.linenum()
, strOf_FuncName
, libs.get_TimeLabel_Now()
)
)
'''###################
step : 2
###################'''
base.cam.setPos(0, -10, 0)
base.cam.lookAt(0, 0, 0)
# World
world = BulletWorld()
world.setGravity(Vec3(0, 0, -9.81))
# Plane
shape = BulletPlaneShape(Vec3(0, 0, 1), 1)
node = BulletRigidBodyNode('Ground')
node.addShape(shape)
np = render.attachNewNode(node)
np.setPos(0, 0, -2)
world.attachRigidBody(node)
# Box
shape = BulletBoxShape(Vec3(0.5, 0.5, 0.5))
node = BulletRigidBodyNode('Box')
node.setMass(1.0)
node.addShape(shape)
np = render.attachNewNode(node)
np.setPos(0, 0, 2)
world.attachRigidBody(node)
model = loader.loadModel('models/box.egg')
model.flattenLight()
model.reparentTo(np)
# Update
def update(task):
dt = globalClock.getDt()
world.doPhysics(dt)
return task.cont
taskMgr.add(update, 'update')
base.run()
'''###################
def _im_actions__Ops_2_0(action): # /im/im_action
print("[%s:%d] _im_actions__Ops_2_0()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
'''###################
build : command string
###################'''
command = "%s\\%s" % (cons_im.FPath.DPATH_CMD_LIB_WS_CAKE_IFM11.value, action)
# command = "C:\\WORKS_2\\Programs\\sakura\\sakura.exe"
# arg1 = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\3-1) add memo.txt"
# command = "C:\\WORKS_2\\Programs\\sakura\\sakura.exe"
# arg1 = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\3-1) add memo.txt"
# arg1 = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\\"3-1) add memo.txt\""
# command = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\\"3-1) add memo.txt\""
# command = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\'3-1) add memo.txt'"
# command = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\3-1) add memo.txt"
# command = "C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\test.bat"
# command = "'C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\test.bat'"
# command = "'C:\\WORKS_2\\WS\\WS_Cake_IFM11\\commands\\2-0) edit_memos.9-0.bat'"
print()
print("[%s:%d] _im_actions__Ops_2_0()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
cmd_Full = [command] #=>
# cmd_Full = [command, arg1] #=>
'''###################
subprocess
###################'''
res = subprocess.call(cmd_Full)
print("[%s:%d] result (subprocess) =>" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
print(res)
return None
def exec_prog(): # from : 20180116_103908
### tests
test_1()
'''###################
Report
###################'''
print("[%s:%d] exec_prog => done" %
(os.path.basename(libs.thisfile()), libs.linenum()))
def exec_prog(): # from :
'''###################
execute
###################'''
'''###################
Report
###################'''
print("[%s:%d] exec_prog => done" %
(os.path.basename(libs.thisfile()), libs.linenum()))
def test_1_Init():
#ref http://docs.sympy.org/latest/tutorial/matrices.html
init_printing(use_unicode=True)
'''###################
vars
###################'''
var("a:z")
'''###################
ops
###################'''
a = Matrix([x, y])
m = Matrix([[2, -1], [1, 0]])
#ref dot https://stackoverflow.com/questions/47839177/sympy-dot-product-results-in-a-list
# prod = a.dot(m) #=> Matrix size mismatch: (2, 1) * (2, 2).
prod = m.dot(a) #=> [2*x - y, x]
# prod = a * m
print(prod)
for i in range(5):
prod = m.dot(prod)
print()
print ("[%s:%d] n = %d\nprod = %s\nprod[0] = '%s'" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, i + 2
, prod
, prod[0]
))
# a = Matrix([1,2,3])
#
# a
# print(a)
'''###################
message
###################'''
print()
print("[%s:%d] test_1 => done" %
(os.path.basename(libs.thisfile()), libs.linenum()))
def test_1():
strOf_FuncName = "test_1"
'''###################
step : 1
opening, vars
###################'''
print()
print("[%s:%d] starting : %s (time=%s)" %
(os.path.basename(os.path.basename(libs.thisfile())), libs.linenum(),
strOf_FuncName, libs.get_TimeLabel_Now()))
# path var
print(
"[%s:%d] PATH variable : " %
(os.path.basename(os.path.basename(libs.thisfile())), libs.linenum()))
print(sys.path)
'''###################
step : 2
sys.argv
###################'''
print()
print(
"[%s:%d] sys.argv ==>" %
(os.path.basename(os.path.basename(libs.thisfile())), libs.linenum()))
print(sys.argv)
'''###################
step : 2 : 1
arg : 2nd arg
###################'''
arg_2 = sys.argv[1]
print()
print(
"[%s:%d] sys.argv[1] ==>" %
(os.path.basename(os.path.basename(libs.thisfile())), libs.linenum()))
print(arg_2)
print("type(arg_2) => ", type(arg_2))
def test_1():
'''###################
ops
###################'''
#ref https://nknon.blogspot.jp/2008/02/blog-post_12.html
F = np.array([[1, 1], [2, 1], [3, 1], [4, 1], [5, 1]])
y = np.array([[8.1], [2.5], [2.1], [3.4], [9.8]])
tF = np.transpose(F)
tFF = np.dot(tF, F)
tFF_inv = la.inv(tFF) #tFFの逆行列
# tFF_inv = la.inverse(tFF) #tFFの逆行列
tFy = np.dot(tF, y)
a = np.dot(tFF_inv, tFy)
print(a)
'''###################
plot
###################'''
y_ = [x[0] for x in y]
x2 = range(5)
y2_ = [item * a[0] + a[1] for item in x2]
# y2_ = [item * a[0] for item in x2]
print()
print("[%s:%d] a[0][1] = %.4f" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, a[0]
# , a[0][1]
), file=sys.stderr)
print()
# y2_ =
print()
print(y_)
plt.plot(y_, 'b^')
plt.plot(y2_, 'r*')
# plt.plot(y2_, 'r-')
# plt.plot(y_)
ax = plt.gca()
#ref grid https://stackoverflow.com/questions/16074392/getting-vertical-gridlines-to-appear-in-line-plot-in-matplotlib
# ax.grid(True)
ax.grid(True, which='both')
# ax.grid(which='major', axis='both', linestyle='--')
# ax.grid(which='minor', axis='both', linestyle='--')
plt.show()
'''###################
return
###################'''
return None
def test_Request(request):
print("[%s:%d] %s" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, "=================== @ test_Request")
, file=sys.stderr)
print(request, file=sys.stderr)
'''###################
get params
###################'''
params = request.GET
print("[%s:%d] params =>" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
print(params)
def test_1():
strOf_FuncName = "test_1"
'''###################
step : 1
opening, vars
###################'''
print()
print("[%s:%d] starting : %s (time=%s)" %
(os.path.basename(os.path.basename(libs.thisfile())), libs.linenum(),
strOf_FuncName, libs.get_TimeLabel_Now()))
# path var
print(
"[%s:%d] PATH variable : " %
(os.path.basename(os.path.basename(libs.thisfile())), libs.linenum()))
print(sys.path)
def exec_prog(): # from :
'''###################
execute
###################'''
test_2_Multiple_Tsp()
# test_1()
'''###################
Report
###################'''
print("[%s:%d] exec_prog => done" %
(os.path.basename(libs.thisfile()), libs.linenum()))
def exec_prog(): # from : 20180116_103908
### test 2
test_3_N_Multiply()
# test_2_Calc()
# test_1_Init()
'''###################
Report
###################'''
print("[%s:%d] exec_prog => done" %
(os.path.basename(libs.thisfile()), libs.linenum()))
def exec_prog(): # from :
### test 2
test_2()
# test_1()
'''###################
Report
###################'''
print ("[%s:%d] exec_prog => done" % (os.path.basename(libs.thisfile()), libs.linenum()))
def _im_actions__Ops_9_1(action): # /im/im_action
print("[%s:%d] _im_actions__Ops_9_1()" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
#debug
print()
print("[%s:%d] action => '%s'" % \
(os.path.basename(libs.thisfile()), libs.linenum()
, action
), file=sys.stderr)
command = "C:\\WORKS_2\\Programs\\sakura\\sakura.exe"
# command = "%s\\%s" % (cons_im.FPath.DPATH_CMD_LIB_WS_CAKE_IFM11.value, action)
# OSError: [WinError 193] %1 は有効な Win32 アプリケーションではありません。
# command = action
arg1 = "%s\\%s" % (cons_im.FPath.DPATH_CMD_LIB_WS_CAKE_IFM11.value, action)
# cmd_Full = [command] #=>
cmd_Full = [command, arg1] #=>
#debug
print()
print("[%s:%d] cmd_Full =>" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
print(cmd_Full)
res = subprocess.call(cmd_Full)
print("[%s:%d] result (subprocess) =>" % \
(os.path.basename(libs.thisfile()), libs.linenum()
), file=sys.stderr)
print(res)
return None
def exec_prog(): # from :
#next:20201111_175546
# '''###################
# params
# ###################'''
# args = sys.argv
#
# if len(args) < 2 : #if len(args) < 2
#
# print()
# print ("[%s:%d] param needed : len(args) = %d" % \
# (os.path.basename(libs.thisfile()), libs.linenum(), len(args)))
#
# print()
# print("<Usage> python 1_1.3.py <numbering|created>")
#
# return
#
# param = args[1]
#
# print()
# print("param => %s" % (param))
#
#
# #/if len(args) < 2
#
# '''###################
# dispatch
# ###################'''
# if param == "numbering" : #if param == "numbering"
#
# test_5__Numbering()
#
# elif param == "created" : #if param == "numbering"
#
# test_4()
#
# else : #if param == "numbering"
#
# print()
# print ("[%s:%d] unknown param => '%s'" % \
# (os.path.basename(libs.thisfile()), libs.linenum(), param))
#
# print()
#
# return
'''###################
Report
###################'''
print("[%s:%d] exec_prog => done" %
(os.path.basename(libs.thisfile()), libs.linenum()))
def exec_prog(): # from :
'''###################
execute
###################'''
#mark:20210709_160406
task_1_ShowBase()
# test_1()
'''###################
Report
###################'''
print("[%s:%d] exec_prog => done" %
(os.path.basename(libs.thisfile()), libs.linenum()))
