def main(save_type, ignore, result_db, output, filter_email, ignore_file,
projects):
print('----------------config--------------')
p(locals())
print('(>.<)')
print('------------------------------------')
if ignore_file:
ignore = list(
filter(lambda x: x,
(l.strip().lower()
for l in ignore_file.readlines()))) + list(ignore or [])
if not projects:
verify_func = lambda x: x.startswith(u'industry_')
else:
projects = list([x.lower() for x in projects])
verify_func = lambda x: x.lower() in projects
core(save_type,
result_db,
ignore,
verify_func=verify_func,
output=output,
filter_email=filter_email)
def findLadders(self, beginWord, endWord, wordlist):
"""
:type beginWord: str
:type endWord: str
:type wordlist: Set[str]
:rtype: List[List[int]]
"""
trace = {}
local_path = defaultdict(list)
wordlist.add(endWord)
queue = deque([beginWord])
count = 1
reach_end = False
while queue:
word = queue.popleft()
count -= 1
for nw in self.word_gen(word, wordlist):
local_path[nw].append(word)
if nw == endWord:
reach_end = True
else:
queue.append(nw)
if count == 0:
count = len(queue)
trace.update(local_path)
local_path = defaultdict(list)
if reach_end:
from pprint import pprint as p
p(trace)
#return self.build_trace(trace, beginWord, endWord)
break
return []
def mainFunction(arrayOfArguments):
# p(arrayOfArguments)
p("Searching for command '{}.py' (created by Creed)...".format(
arrayOfArguments[1]))
pathToRepos = myPyFunc.getPathUpFolderTree(pathToThisPythonFile, 'repos')
def ifPythonFileToImport(fileObj):
if fileObj.is_file() and fileObj.suffix == '.py':
if fileObj.stem == arrayOfArguments[1]: return True
return False
pathToPythonFileForImport = myPyFunc.findFilePathBreadthFirst(
pathToRepos,
ifPythonFileToImport,
pathsToExclude=[
str(Path(pathToRepos, 'privateData', 'python', 'dataFromStocks')),
str(Path(pathToRepos, '.history')),
str(Path(pathToRepos, '.vscode')),
str(Path(pathToRepos, 'reposFromOthers')), '.git', 'node_modules'
])
# p(pathToPythonFileForImport)
importedModuleSpec = importlib.util.spec_from_file_location(
arrayOfArguments[1], pathToPythonFileForImport)
importedModule = importlib.util.module_from_spec(importedModuleSpec)
importedModuleSpec.loader.exec_module(importedModule)
importedModule.mainFunction(arrayOfArguments[1:])
def validateAnswer(answer):
if len(answer) == 0:
p(1)
return 'You must choose at least one topping.'
else:
p(2)
return True
def fetchPrice():
public = 'CmmByW3DwxkXEEJ9kUWjAbpoMH37A99ZbOAP5R54arTOWmMxXoyEjNtY62PYIXmy'
private = 'js7tj01HsBhi6uO8jOpcj09eLrDdaL1TQmVVE29T67K38DJoCRYDJr7rs3JBZfwH'
#interval = 60
interval = 30
start_time = time.time()
time_range = 5000 * interval
BTC = 'BTCUSDT'
client = Client(public, private)
#klines = client.get_historical_klines(BTC, Client.KLINE_INTERVAL_1HOUR, str(time_range)+" hour ago UTC")
klines = client.get_historical_klines(BTC, Client.KLINE_INTERVAL_30MINUTE,
str(time_range) + " min ago UTC")
p(klines)
timeLen = len(klines)
f = open("price.csv", 'w')
for i in range(timeLen):
f.write(str(klines[i][0]) + ",")
f.write(klines[i][4])
f.write("\n")
f.close()
f = open("now_price.txt", 'w')
f.write(klines[timeLen - 1][4])
f.close()
print("--- %s seconds ---" % (time.time() - start_time))
def test_json_file():
with open('/tmp/wiki.json') as fd:
cnt = 0
for line in fd:
cnt += 1
if cnt > 100: break
p(parse(line))
def GetCameraBrands():
"""docstring for GetCameraBrands"""
url = 'http://www.flickr.com/cameras/brands/'
listCameraBrands = []
try:
r = requests.get(url)
except:
print "Could not get url %s" %(url)
return None
else:
soup = BeautifulSoup(''.join(r.text))
# Parse these tags
div = soup.find("div", id="brands")
table = div.find("table", {"id":"all-brands"})
rows = table.find_all("tr", recursive=False)
print "Rows: %d" %(len(rows))
for tr in rows:
camera_tags = tr.find_all("td")
for tag in camera_tags:
tag = str(tag)
m = re.search(".*href=\"(?P<Url>.*)\">(?P<Brand>.*)</a>\n</td>",tag, re.MULTILINE)
if m:
listCameraBrands.append( CameraBrand(m.group('Brand'), m.group('Url') ) )
p(m.group('Brand'))
# end if
# end for
# end try
return listCameraBrands
def GetCameraModels(url):
"""docstring for GetCameraBrands"""
listCameraModels = []
try:
r = requests.get(url)
except:
print "Failed to get url %s" % (url)
else:
soup = BeautifulSoup("".join(r.text))
div = soup.find("div", id="models")
table = div.find("table", {"id": "all-cameras"})
rows = table.findAll("tr", recursive=False)
for tr in rows:
camera_tags = tr.find_all("td")
# Parse these tags
for tag in camera_tags:
tag = str(tag)
m = re.match('.*\n.*href="(?P<Url>.*)">(?P<Model>.*)</a>', tag)
if m:
listCameraModels.append(CameraModel(m.group("Model"), m.group("Url")).__dict__)
p(m.group("Model"))
# end if
# end for
# end try
return listCameraModels
def view(interpreter):
'''
Pretty print the interpreter to stdout.
'''
from pprint import pprint as p
p(interpreter)
return interpreter
def sifuApp(appName):
userName = current_user.name
templateDir = "app/" + appName + "/"
baseAppDir = "templates/" + templateDir
print("Trying to access app: " + baseAppDir + " / " + str(userName))
try:
appSettings = utils.loadYamlFile(baseAppDir + "/settings.yaml")
print("App Settings:")
p(appSettings)
canUseApp = core.isUserInList(userName, appSettings.get("allow", []),
db)
if not canUseApp: abort(404)
# Are we trying to get a file?
fileName = request.args.get("file")
allVars = utils.requestToDict(request)
if fileName:
return send_from_directory(baseAppDir, fileName)
isAdmin = db.isUserAdmin(userName)
return render_template(templateDir + "index.html",
user=userName,
isAdmin=isAdmin,
allVars=allVars)
except:
abort(404)
return "Go somewhere else!"
def view(interpreter):
'''
Pretty print the interpreter to stdout.
'''
from pprint import pprint as p
p(interpreter)
return interpreter
def test_json_file():
with open('/tmp/wiki.json') as fd:
cnt = 0
for line in fd:
cnt += 1
if cnt > 100:break
p (parse(line))
def main():
json_string = '''
{
"key1": "val1",
"boolkey": false,
"boolkey2": true,
"listkey": [1,2,3],
"nest_listkey": [
{"key1": "val1"},
{"key2": "val2"}
],
"nest_obj": {
"key1": "val1",
"key2": [4,5,6]
},
"null_key": null
}
'''
#json_string = '[1.3242353453, "2", 3]'
#json_string = '[1,2,"3"]'
p( parse(json_string) )
return
import time
st = time.time()
for i in range(10000):
parse(json_string)
print (time.time() - st)
st = time.time()
for i in range(10000):
json.loads(json_string)
print (time.time() - st)
def findLadders(self, beginWord, endWord, wordlist):
"""
:type beginWord: str
:type endWord: str
:type wordlist: Set[str]
:rtype: List[List[int]]
"""
trace = {}
local_path = defaultdict(list)
wordlist.add(endWord)
queue = deque([beginWord])
count = 1
reach_end = False
while queue:
word = queue.popleft()
count -= 1
for nw in self.word_gen(word, wordlist):
local_path[nw].append(word)
if nw == endWord:
reach_end = True
else:
queue.append(nw)
if count == 0:
count = len(queue)
trace.update(local_path)
local_path = defaultdict(list)
if reach_end:
from pprint import pprint as p
p(trace)
#return self.build_trace(trace, beginWord, endWord)
break
return []
def GetCameraModels(url):
"""docstring for GetCameraBrands"""
listCameraModels = []
try:
r = requests.get(url)
except:
print "Failed to get url %s" %(url)
else:
soup = BeautifulSoup(''.join(r.text))
div = soup.find("div", id="models")
table = div.find("table", {"id":"all-cameras"})
rows = table.findAll("tr", recursive=False)
for tr in rows:
camera_tags = tr.find_all("td")
# Parse these tags
for tag in camera_tags:
tag = str(tag)
m = re.match(".*\n.*href=\"(?P<Url>.*)\">(?P<Model>.*)</a>",tag)
if m:
listCameraModels.append( CameraModel(m.group('Model'), m.group('Url') ).__dict__ )
p(m.group('Model'))
# end if
# end for
# end try
return listCameraModels
def performMouseActions():
# pyautogui.displayMousePosition()
# coordinatesOfTextMessage = [1056, 737]
# coordinatesOfArchiveButton = [1056, 90]
# pyautogui.mouseDown(x=coordinatesOfTextMessage[0], y=coordinatesOfTextMessage[1], button='left')
# time.sleep(.75)
# pyautogui.mouseUp(x=coordinatesOfTextMessage[0], y=coordinatesOfTextMessage[1], button='left')
# pyautogui.click(coordinatesOfArchiveButton[0], coordinatesOfArchiveButton[1])
# time.sleep(2)
for iterationCount in range(500):
startingDragPosition = [770, 740]
endingDragPosition = [1200, 740]
xDrag = endingDragPosition[0] - startingDragPosition[0]
yDrag = endingDragPosition[1] - startingDragPosition[1]
pyautogui.mouseDown(startingDragPosition[0], startingDragPosition[1])
# time.sleep(.75)
pyautogui.moveTo(endingDragPosition[0], endingDragPosition[1], duration=.2)
pyautogui.mouseUp(endingDragPosition[0], endingDragPosition[1])
# time.sleep(.1)
pyautogui.moveTo(startingDragPosition[0], startingDragPosition[1])
time.sleep(1)
p(iterationCount)
def getArrayOfFileObjFromDir(dirToAdd, pathsToExclude):
arrayOfFileObjInDir = []
def fileObjHasPathToExclude(fileObj, pathsToExclude):
for pathToExclude in pathsToExclude:
if str(pathToExclude) in str(fileObj): return True
return False
try:
dirToAddArray = os.listdir(dirToAdd)
except:
p('Can\'t add fileObj\'s from ' + str(dirToAdd))
dirToAddArray = []
dirToAddArray = [
Path(dirToAdd, fileObjName) for fileObjName in dirToAddArray
]
for fileObjInDirToAdd in dirToAddArray:
if not fileObjHasPathToExclude(fileObjInDirToAdd, pathsToExclude):
arrayOfFileObjInDir.append(fileObjInDirToAdd)
return arrayOfFileObjInDir
def rowForMatchedArrayOnAmountDate(gpArrayCurrentRow):
rowToReturn = gpArrayCurrentRow
dateComparisonFunction = myPyFunc.getColumnComparisonFunction(
gpDateStrColIdx, bankDteStrColIdx)
rowIndicesThatMatch = myPyFunc.rowIndicesInSecondFromTestsOnFirst(
[amountComparisonFunction, dateComparisonFunction],
gpArrayCurrentRow, bankArray)
if len(rowIndicesThatMatch) == 1:
filterFieldsForMatchStatus = myPyFunc.getFilterByIndexFunction(
[gpNewAmtColIdx, gpDateStrColIdx])
rowToReturn.extend([
myPyFunc.getMatchStatus(
myPyFunc.filterArray(filterFieldsForMatchStatus,
gpArrayFirstRow))
] + bankArray.pop(rowIndicesThatMatch[0]))
elif len(rowIndicesThatMatch) > 1:
p('More than one row matches on the first pass')
for rowIndexThatMatches in rowIndicesThatMatch:
p(bankArray[rowIndexThatMatches])
return rowToReturn
def main():
json_string = '''
{
"key1": "val1",
"boolkey": false,
"boolkey2": true,
"listkey": [1,2,3],
"nest_listkey": [
{"key1": "val1"},
{"key2": "val2"}
],
"nest_obj": {
"key1": "val1",
"key2": [4,5,6]
},
"null_key": null
}
'''
#json_string = '[1.3242353453, "2", 3]'
#json_string = '[1,2,"3"]'
p(parse(json_string))
return
import time
st = time.time()
for i in range(10000):
parse(json_string)
print(time.time() - st)
st = time.time()
for i in range(10000):
json.loads(json_string)
print(time.time() - st)
def main():
boards = s.import_file()
boards = [s.import_string(board) for board in boards]
def coord_board():
board[2][0] = 7
board[0][1] = 8
board[1][1] = 5
board[2][1] = 3
board[4][0] = 6
board[5][0] = 1
board[4][2] = 9
board[7][0] = 8
board[6][1] = 9
board[7][1] = 1
board[8][2] = 5
coords = (1,3,4), (2,3,1), (2,4,3), (0,5,6), (2,5,2), \
(3,4,2), (4,4,5), (5,4,4), \
(6,3,8), (8,3,3), (7,4,6), (6,5,5), (7,5,4), \
(0,6,1), (1,7,8), (2,7,4), (1,8,2), \
(4,6,4), (3,8,6), (4,8,1), \
(6,7,6), (7,7,5), (8,7,1), (7,8,9)
for coord in coords:
s.set_sq(board, coord[:2], coord[2])
for board in boards:
poss = s.return_ledger(board)
s.poss_grid(board, poss)
# s.constraints(board, poss)
s.constraints(board, poss)
s.constraints(board, poss)
s.constraints(board, poss)
p(board)
def GetCameraBrands():
"""docstring for GetCameraBrands"""
url = "http://www.flickr.com/cameras/brands/"
listCameraBrands = []
try:
r = requests.get(url)
except:
print "Could not get url %s" % (url)
return None
else:
soup = BeautifulSoup("".join(r.text))
# Parse these tags
div = soup.find("div", id="brands")
table = div.find("table", {"id": "all-brands"})
rows = table.find_all("tr", recursive=False)
print "Rows: %d" % (len(rows))
for tr in rows:
camera_tags = tr.find_all("td")
for tag in camera_tags:
tag = str(tag)
m = re.search('.*href="(?P<Url>.*)">(?P<Brand>.*)</a>\n</td>', tag, re.MULTILINE)
if m:
listCameraBrands.append(CameraBrand(m.group("Brand"), m.group("Url")))
p(m.group("Brand"))
# end if
# end for
# end try
return listCameraBrands
def predict_dict(self, images):
"""
images: num_batch, img_size, img_size, 3
Preprocessed to range [-1, 1]
Runs the model with images.
"""
plt.imshow(images.reshape(224, 224, 3))
plt.show()
plt.close()
print("images.shape is {0}".format(
images.shape)) # images.shape is (1, 224, 224, 3)
feed_dict = {
self.images_pl: images,
# self.theta0_pl: self.mean_var,
}
fetch_dict = {
'joints': self.all_kps[
-1], # maybe just don't fetch this "joints" variable, and instead turn absl.config.json_path into the old format HMR requests.
'verts': self.all_verts[-1],
'cams': self.all_cams[-1],
'joints3d': self.all_Js[-1],
'theta': self.final_thetas[-1],
}
print("fetch_dict is :")
p(fetch_dict)
'''
with open('tf_sess.pkl', 'wb') as f:
pkl.dump(self.sess, f)
# I think what's happening is it's impossible to pickle a class inside of a different module than the name of that class.
'''
summ_writer = tf.summary.FileWriter(os.path.join('summaries', 'first'),
self.sess.graph)
results = self.sess.run(
fetch_dict, feed_dict
) # This "(self.sess.run(fetch_dict, feed_dict))" must be called before we can get the betas out of smpl?
# the real question is: CAN we even get the betas out? predict_dict() predicts the values of joints, verts, cams, joints3d, and theta just fine, but can we relearn the betas from these values?
"""
'joints': self.all_kps[-1],
'verts': self.all_verts[-1],
'cams': self.all_cams[-1],
'joints3d': self.all_Js[-1],
'theta': self.final_thetas[-1],
"""
# Return joints in original image space.
# (ie. we ran openpose on the 224x224 img, then resized them to the original image's size.)
# -nxb, Fri Mar 29 11:21:27 EDT 2019
joints = results['joints']
joints = ((joints + 1) * 0.5) * self.img_size
print("joints.shape:", joints.shape) # (1,19,2)
plt.scatter(joints[:, :, 0], joints[:, :, 1])
plt.show()
plt.close()
results['joints'] = joints
return results
def fix_strings(province, city):
pattern = '\s'
adj_prov = re.sub(pattern, '-', province)
adj_city = re.sub(pattern, '-', city)
url = "https://www.theweathernetwork.com/ca/weather/" + adj_prov.lower(
) + "/" + adj_city.lower()
p(url)
return url
def test_atingimento_ge(self):
"""
Tests that 1 + 1 always equals 2.
"""
qs = VwFIM.atingimento_ge(produto=u'PÓS PURO')
p(qs.values_list('grupo_economico', 'gross', 'mes', 'dimensao_grupo'))
self.failUnlessEqual(1 + 1, 2)
def printTimeSinceImport():
currentTime = time.time()
elapsedMinutesStr = str((currentTime - startTime) // 60).split('.')[0]
elapsedSecondsStr = str(round((currentTime - startTime) % 60,
0)).split('.')[0]
p('Split time: ' + elapsedMinutesStr + ' minutes and ' +
elapsedSecondsStr + ' seconds.')
def wrapper(*args, **kwargs):
now_time = str(time.strftime('%Y-%m-%d %X', time.localtime()))
print('------------------------------------------------')
print('%s %s called' % (now_time, func.__name__))
print('Document:%s' % func.__doc__)
print('%s returns:' % func.__name__)
re = func(*args, **kwargs)
p(re)
return re
def main():
args = sys.argv
check_args(args, 1)
account_id = args[1]
msf = LibMtSalesForce()
soql = "SELECT Id From Contact Where AccountId='%s'" % (account_id)
response = msf.query(soql)
p(response)
return response
def main():
args = sys.argv
check_args(args, 1)
msf = LibMtSalesForce()
soql = "SELECT Id,Name,MstDisease__c,Other__c FROM AccountDisease__c WHERE AccountDisease2Account__c='%s'" % (
args[1])
response = msf.query(soql)
p(response)
return response
def main():
args = sys.argv
check_args(args, 1)
msf = LibMtSalesForce()
soql = "Select CreatedDate, AccountPoint2Account__c, Point_i__c, Comment_c__c FROM AccountPoint__c WHERE IsDeleted = FALSE AND AccountPoint2Account__c = '%s' AND CreatedDate >= 2018-04-01T00:00:00+09:00 order by CreatedDate" % (
args[1])
response = msf.query(soql)
p(response)
return response
def main():
args = sys.argv
check_args(args, 1)
msf = LibMtSalesForce()
soql = "SELECT Id,Name,MstCategory__c,Other__c,IsPrimary__c FROM AccountCategory__c WHERE AccountCategory2Address__c='%s'" % (
args[1])
response = msf.query(soql)
p(response)
return response
def main():
args = sys.argv
check_args(args, 1)
msf = LibMtSalesForce()
soql = "SELECT Id,AddressClass__c,EmpDepartment__c,MstWorkClassId__c,EmpName__c,EmpClass__c,Zip__c,Pref__c,City__c,Address__c,Tel__c,isShippingAddressOfMT__c,shisetsu_code__c,checkFlag__c FROM Address__c WHERE AccountId__c='%s'" % (
args[1])
response = msf.query(soql)
p(response)
return response
def insertion_sort(nums: List[int]) -> List[int]:
"""
插入排序类型斗地主发牌时，将新的牌插入到已经有序的手牌中
优化算法是通过binary_search找到插入的索引
「希尔排序」是插入排序的更高效算法
由于二分/折半查找只是减少了比较的次数，插入元素时元素的移动也耗费O(n)的时间，所以时间复杂度跟冒泡排序一样
平均O(n^2)，最好O(n)，最坏O(n^2)；稳定排序
Worst Case: 入参是反序的
FIXME 我写的二分插入有点问题，还是用不加二分查找的原始插入排序更好
"""
def binary_search(nums: List[int], target: int) -> int:
left: int = 0
right: int = len(nums) - 1
middle: int
while left < right and right > 1:
# 如果middle是(left+right) // 2
# 遇到([1, 2, 3], 4)的测试用例时会陷入死循环(left, right = 1, 2)
middle = (left + right) // 2
if nums[middle] == target:
print("nums[middle] == target")
return middle
elif nums[middle] > target:
print("nums[middle] > target")
right = min(middle, right - 1)
else:
print("nums[middle] < target")
left = max(middle, left + 1)
print(f"left, right = {left}, {right}")
# 一般的二分查找找不到是返回return -1
# 这里我想模仿Rust的二分查找，无论找不找得到，都返回一个应当插入位置的索引
if nums[left] > target:
return left
else:
return right
length: int = len(nums)
current_num: int
for i in range(1, length):
print()
p('==' * 10)
p((nums[:i], nums[i]))
binary_search_index = binary_search(nums[:i], nums[i])
p(f"binary_search_index, i = {binary_search_index}, {i}")
if binary_search_index < i and nums[binary_search_index] > nums[i]:
current_num = nums[i]
# 将比nums[i]更大的元素往右移一格
for j in range(i, binary_search_index, -1):
nums[j], nums[j - 1] = nums[j - 1], nums[j]
nums[binary_search_index] = current_num
# List[int]不需要pretty print
p(nums)
p('==' * 10)
print()
return nums
def load_client(self):
"""set simple_salesforce instance
"""
if os.path.exists(self.client_instance_file) == False:
p("[Log]]autehntication from salesforce")
self.authenticate()
self.load_client()
else:
with open(self.client_instance_file, 'rb') as f:
p("[Log]autehntication from file")
self.client = pickle.load(f)
def main():
sol = Solution()
board = [
['X', 'X', 'X', 'X'],
['X', 'O', 'O', 'X'],
['X', 'X', 'O', 'X'],
['X', 'O', 'X', 'X'],
]
sol.solve(board)
from pprint import pprint as p
p(board)
def addFileToAcrobatOCRList(fileObj):
while not myPyAutoGui.locateOnScreenLocal(
'addFilesButton', pathToThisPythonFile.
parents[0]) and not myPyAutoGui.locateOnScreenLocal(
'acrobatStartScreen', pathToThisPythonFile.parents[0]):
p('Waiting for Acrobat to appear...')
if myPyAutoGui.locateOnScreenLocal('addFilesButton',
pathToThisPythonFile.parents[0]):
myPyAutoGui.clickWhenLocalPNGAppears('addFilesButton',
pathToThisPythonFile.parents[0])
elif myPyAutoGui.locateOnScreenLocal('acrobatStartScreen',
pathToThisPythonFile.parents[0]):
pyautogui.press(['alt', 'f', 'w', 'down', 'down', 'enter'])
myPyAutoGui.clickWhenLocalPNGAppears('addFilesButton',
pathToThisPythonFile.parents[0])
pyautogui.press('f')
myPyAutoGui.getCoordinatesWhenLocalPNGAppears(
'filenameBoxReady', pathToThisPythonFile.parents[0])
pyperclip.copy(str(fileObj))
if platform.system() == 'Darwin':
pyautogui.hotkey('command', 'v')
else:
pyautogui.hotkey('ctrl', 'v')
# def type_unicode(word):
# for c in word:
# c = '%04x' % ord(c)
# pyautogui.keyDown('optionleft')
# pyautogui.typewrite(c)
# pyautogui.keyUp('optionleft')
# import pyautogui as px
# def type_unicode(word):
# for char in word:
# num = hex(ord(char))
# px.hotkey('ctrl', 'shift', 'u')
# for n in num:
# px.typewrite(n)
# px.typewrite('\n')
pyautogui.press('enter')
myPyAutoGui.waitUntilLocalPNGDisappears('addFilesDialogBox',
pathToThisPythonFile.parents[0])
def writeXML(fileToCreateStr, root):
try:
os.remove(fileToCreateStr)
except OSError:
pass
root.getroottree().write(fileToCreateStr,
pretty_print=True,
xml_declaration=True,
encoding='utf-8')
p('File complete: ' + fileToCreateStr + ' with length: ' + str(len(root)))
def main():
""" SOQLのテスト実行用。データの確認もこれが手っ取りばやい
"""
msf = LibMtSalesForce()
# soql = "SELECT Name FROM CodeMaster__c WHERE Id='%s'" %(id)
# soql = "SELECT Name, CodeKind__c FROM CodeMaster__c"
soql = "SELECT id FROM AccountSymptom__c"
response = msf.query(soql)
p(response)
return response
def main():
sol = Solution()
board = [
['X', 'X', 'X', 'X'],
['X', 'O', 'O', 'X'],
['X', 'X', 'O', 'X'],
['X', 'O', 'X', 'X'],
]
sol.solve(board)
from pprint import pprint as p
p(board)
def main(inputs):
'''this is basicly a loop over all the pools to do the calculations'''
print "\n"
# this the core loop do the calc for every month in a given timespan (year) for every pool
data_list =[]
for year in range(2000,2030):
for month in range(1,13):
for pool in pool_list:
# call the calulations function to do the math
data_list = calculations(year,pool,soil, month, data_list, inputs[0], inputs[1], inputs[2])
# plot everything
if not FIT:
plot(data_list)
pool_dict = {
"bio":bio.get_pool_size(),
"hum":hum.get_pool_size(),
"dpm":dpm.get_pool_size(),
"rpm":rpm.get_pool_size(),
"co2":co2.get_pool_size(),
}
'''make and two array to calulate the mean squared errors'''
wanted_vals = np.array([init_pool_size["BIO"],init_pool_size["HUM"],init_pool_size["DPM"],init_pool_size["RPM"], abs(init_pool_size["CO2"])])
wanted_vals = wanted_vals.reshape(1,-1)
vals_got = np.array([pool_dict["bio"], pool_dict["hum"], pool_dict["dpm"],pool_dict["rpm"], abs(pool_dict["co2"])])
vals_got = vals_got.reshape(1, -1)
if NORMALIZE:
wanted_vals = normalize(wanted_vals)
vals_got = normalize(vals_got)
"wanted array vs return array"
print wanted_vals
print vals_got
'''calulate mse'''
mse = (( wanted_vals - vals_got) ** 2).mean(axis=None) # with ax=None the average is performed element-wise along the array, returning a single value
print "OC input", inputs[0], "dpm_rpm ratio", inputs[1] ,"bio hum factor", inputs[2], "\n"
p(pool_dict)
print "mean squared error", mse
'''use the uncommented this in case you want to minimize just a single value '''
#return pool_dict["hum"]
return mse
def parse_page(url, regex):
resp = get_page(url)
if resp.getcode() != 200:
raise ParserException('cant load main page')
text = str(resp.read())
p('loaded page {}, size = {}'.format(url_decode(url), len(text)))
regex1 = regex[0] if isinstance(regex, tuple) else regex
pages = re.findall(regex1, text)
res = (True, pages)
if len(pages) == 0 and isinstance(regex, tuple) and len(regex) > 1:
pages = re.findall(regex[1], text)
res = (False, pages)
return res
def get_jinja_fields_and_colors(json_file=colorgen_json ):
''' Gets all fields from a theme json file for the A swatch'''
# Reading in theme json data
with open(json_file) as data_file:
jqmt_rip = json.load(data_file)
p(jqmt_rip) # Print out of json
field_colors = {} # Dictionary of unique colors and names
for k,v in jqmt_rip['themes'][0]['global'].iteritems():
field_colors["global_" + k] = v
for k,v in jqmt_rip['themes'][0]['a'].iteritems():
for k2,v2 in v.iteritems():
field_colors['a_' + k + "_" + k2] = v2
return field_colors
def main(lat, temp_mean, precip_mean, max_tsmd):
'''get evapotranspiration''' # taken from Richards pyeto, see doc in same folder for more informatios
pyeto_lat = pyeto.deg2rad(lat) # converts the degree to radians
mean_month_list = [temp_mean[i] for i in temp_mean]
monthly_mean_daylight = pyeto.monthly_mean_daylight_hours(pyeto_lat)
eto = pyeto.thornthwaite(mean_month_list, monthly_mean_daylight)
'''make a "month_number" : "evapo" dic'''
eto_dict = {}
for n,i in enumerate(eto):
eto_dict[n+1] = eto[n]
print "\nWaterbalance with maximum deficientcy of", max_tsmd
acc_TSMD = {}
acc_factor = 0
budget = {}
'''The following part is still a bit hacky.
Two for loops that first calculates the the water buget for every mongth
and then starts a second loop to substract the value of the month before from the current month
'''
print "month \t rain \t eto \t\t TSMD"
for month, rain, etom in zip(range(1,13),precip_mean, eto_dict):
TSMD = precip_mean[rain] - ( eto_dict[etom] * 0.75 )
if TSMD <= max_tsmd:
TSMD = max_tsmd
print month,"\t", precip_mean[rain], "\t", eto_dict[etom],"\t", TSMD
budget[month] = TSMD if TSMD < 0 else 0
for month, rain, etom in zip(range(1,13),precip_mean, eto_dict):
TSMD = precip_mean[rain] - ( eto_dict[etom] * 0.75 )
if month == 1:
acc_TSMD[month] = TSMD + budget[12]
else:
acc_TSMD[month] = TSMD + budget[month -1]
if acc_TSMD[month] > 0 :
acc_TSMD[month] = 0
if acc_TSMD[month] < max_tsmd:
acc_TSMD[month] = max_tsmd
print "\nWater budget"
p(budget)
print ""
return acc_TSMD
def test():
server = Server(bulk_limit=201, limit=100)
#db = server['stackoverflow_user']
db = server['stackoverflow_question']
db = db.get_view('rank', 'answer_rank', True)
old_stdout = sys.stdout
for i in db:
out = StringIO()
sys.stdout = out
p(i)
sys.stdout = old_stdout
print out.getvalue()
print
print
LOG.debug(out.getvalue())
def _update_index():
nons = []
for key in doc:
if not doc[key]:
nons.append(key)
for key in nons:
del doc[key]
for key in doc.values():
if key in index:
index[key].update(doc)
for key2 in doc.values():
index[key2] = index[key]
p (index[key])
return
for key in doc.values():
index[key] = doc
docs.append(doc)
def _cloudlb_request(self, url, method, **kwargs):
if not self.region_account_url:
self.authenticate()
#TODO: Look over
# Perform the request once. If we get a 401 back then it
# might be because the auth token expired, so try to
# re-authenticate and try again. If it still fails, bail.
kwargs.setdefault('headers', {})['X-Auth-Token'] = self.auth_token
kwargs['headers']['User-Agent'] = cloudlb.consts.USER_AGENT
if 'body' in kwargs:
kwargs['headers']['Content-Type'] = 'application/json'
kwargs['body'] = json.dumps(kwargs['body'])
ext = ""
fullurl = "%s%s%s" % (self.region_account_url, url, ext)
#DEBUGGING:
if 'PYTHON_CLOUDB_DEBUG' in os.environ:
sys.stderr.write("URL: %s" % (fullurl))
sys.stderr.write("ARGS: %s" % (str(kwargs)))
sys.stderr.write("METHOD: %s" % (str(method)))
if 'body' in kwargs:
from pprint import pprint as p
p("BODY: %s" % kwargs['body'],
stream=sys.stderr)
response, body = self.request(fullurl, method, **kwargs)
if body:
try:
body = json.loads(body)
except(ValueError):
pass
if (response.status < 200) or (response.status > 299):
raise cloudlb.errors.ResponseError(response.status,
response.reason)
return response, body
def main():
c = int(raw_input())
n = int(raw_input())
agrmt = dd(set)
for _ in xrange(n):
a, b = map(lambda x: int(x) - 1, raw_input().split())
agrmt[a].add(b)
agrmt[b].add(a)
left_dp = [[False for _ in xrange(c)] for _ in xrange(c)]
right_dp = [[False for _ in xrange(c)] for _ in xrange(c)]
p(agrmt)
for i in xrange(c):
for j in xrange(i, c):
if i == j:
left_dp[i][j] = True
right_dp[i][j] = True
continue
left_dp[i][j] = (left_dp[i][j - 1] and j in agrmt[j - 1]) or \
(right_dp[j - 1])
def test_rapport(data, filename):
result = data
array_0 = []
array_1 = []
array_2 = []
for (serie, size), time in result.items():
x = float(size)
y = time / func_theoric(float(size))
if serie == 0:
array_0.append((x,y))
elif serie == 1:
array_1.append((x,y))
else:
array_2.append((x,y))
array_0.sort(key=lambda x:x[0])
plt.plot([x for (x,y) in array_0], [y for (x,y) in array_0])
plt.savefig(filename + "0-9_rapport.png")
plt.cla()
plt.clf()
plt.close()
array_1.sort(key=lambda x:x[0])
p(array_1)
plt.plot([x for (x,y) in array_1], [y for (x,y) in array_1])
plt.savefig(filename + "10-19_rapport.png")
plt.cla()
plt.clf()
plt.close()
array_2.sort(key=lambda x:x[0])
plt.plot([x for (x,y) in array_2], [y for (x,y) in array_2])
plt.savefig(filename + "20-29_rapport.png")
plt.cla()
plt.clf()
plt.close()
def build(self): p(self._config['build'])
frames.extend(s.feed(f.read(400))) frames.extend(s.feed(f.read(800))) frames.extend(s.feed(f.read(1200))) frames.extend(s.feed(f.read(1600))) frames.extend(s.feed(f.read())) p(frames) #raw = ''.join(frame.data for frame in frames) #print s.last_frame #open(argv[1]+'.frames', 'wb').write(raw) ''' s = Segmenter(1000) res = [] res = s.feed(f.read(400)) p(res) res = s.feed(f.read(800)) p(res) res = s.feed(f.read(1200)) p(res) res = s.feed(f.read(2400)) p(res) res = s.feed(f.read(4800)) p(res) res = s.feed(f.read(4800)) p(res) res = s.feed(f.read(4800)) p(res) res = s.feed(f.read(4800)) p(res) res = s.feed(f.read(4800))
except KeyError:
print 'Unable to obtain $SB_PIPE from the environment.'
exit(-1)
sys.path.append(os.path.join(sb_pipe, 'sb_pipe'))
sys.path.append(os.path.join(sb_pipe, 'sb_pipe', 'pipelines'))
sys.path.append(os.path.join(sb_pipe, 'sb_pipe', 'pipelines', 'create_project'))
sys.path.append(os.path.join(sb_pipe, 'sb_pipe', 'pipelines', 'double_param_scan'))
sys.path.append(os.path.join(sb_pipe, 'sb_pipe', 'pipelines', 'param_estim'))
sys.path.append(os.path.join(sb_pipe, 'sb_pipe', 'pipelines', 'sensitivity'))
sys.path.append(os.path.join(sb_pipe, 'sb_pipe', 'pipelines', 'simulate'))
sys.path.append(os.path.join(sb_pipe, 'sb_pipe', 'pipelines', 'single_param_scan'))
sys.path.append(os.path.join(sb_pipe, 'sb_pipe', 'utils', 'python'))
from pprint import pprint as p
p(sys.path)
# -- General configuration ------------------------------------------------
# If your documentation needs a minimal Sphinx version, state it here.
#needs_sphinx = '1.0'
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
'sphinx.ext.autodoc',
'sphinx.ext.mathjax'
]
for tag in camera_tags:
tag = str(tag)
m = re.match('.*\n.*href="(?P<Url>.*)">(?P<Model>.*)</a>', tag)
if m:
listCameraModels.append(CameraModel(m.group("Model"), m.group("Url")).__dict__)
p(m.group("Model"))
# end if
# end for
# end try
return listCameraModels
if __name__ == "__main__":
listCameraBrands = []
listCameraBrands = GetCameraBrands()
print "Found %d brands\n" % len((listCameraBrands))
fdata = file("cameradata.yml", "w")
# We should have a list of camera brands (with class CameraBrand) at this point.
cameraDict = {}
for brand in listCameraBrands:
print "\nProcessing %s %s" % (brand.name, brand.url)
time.sleep(1) # Dont' hammer the servers
cameraDict[brand.name] = {"url": brand.url, "cameras": GetCameraModels(brand.url)}
# end for
# end for
# yaml.dump(cameraDict, fdata)
p(cameraDict)
yaml.safe_dump(cameraDict, fdata)
sys.exit(main())
first_url = 'http://www.prokerala.com/kids/baby-names/boy/page-'+str(counter)+'.html'
second_url = 'http://www.prokerala.com/kids/baby-names/girl/page-'+str(counter)+'.html'
file1 = urllib.urlopen(first_url)
lines1 = file1.readlines()
file1.close()
file2 = urllib.urlopen(second_url)
lines2 = file2.readlines()
file2.close()
for line1 in lines1:
m1 = re.search("(nameDetails\">)([A-Z].*[a-z])<", line1)
if m1:
guys_names.append(m1.group(2))
for line2 in lines2:
m2 = re.search("(nameDetails\">)([A-Z].*[a-z])<", line2)
if m2:
lady_names.append(m2.group(2))
counter += 1
p(guys_names)
p(lady_names)
for x in len(guys_names):
List_name.Dolphins(random.choice(guys_names),dolphs, dolphs,random_sex)
for x in len(lady_names):
List_name.Dolphins(random.choice(lady_names),dolphs, dolphs,random_sex)
def list_tasks():
with jira_with_app_context() as j:
assessment_tasks = j.get_assessment_tasks()
for t in assessment_tasks:
p(t)
def tasks_by_id():
with jira_with_app_context() as j:
p(j.assessment_tasks_by_application_id())
def filter(self,index):
rest = index % 4
if rest==0:
return 'long_only'
elif rest==1:
return 'short_only'
elif rest==2:
return 'no_entry'
elif rest==3:
return 'long_and_short'
if __name__=='__main__':
_stock = Stock(1301, 't', 100)
entry = MyEntry()
entry.stock = _stock
p( entry.check_long_entry(0) )
p( entry.check_long_entry(1) )
print
p(entry.check_short_entry(0))
p(entry.check_short_entry(1))
print
my_exit = MyExit()
my_exit.stock = _stock
trade1 = entry.check_long(0)
my_exit.check_exit(trade1,1)
p( trade1.entry_price )
p( trade1.exit_price )
print
stop = MyStop()
def connect():
with jira_with_app_context() as j:
si = j.generic_jira.jira.server_info()
p(si)
#!/usr/bin/env python
import scipy
import pylab
import csv
import sys
# WTH does this do? I try to import pprint and get error.
#
from pprint import pprint as p
# Reading a csv file... OK, but it's not yet up to OnlineTable standards...
with open("beer.tab") as tsv:
for line in csv.reader(tsv, dialect="excel-tab"):
print line[1]
print "Script running under Python:" + sys.version
# Supposedly anything in sys.path can be picked up as a module
# what is sys.path?
# print sys.path works fine
p(sys.path) # prettier... a bit...
# OK, try out my module...
superlib.sayhi()
def syspath():
return p(sys.path)
'route_id' : route_cnt
})
route_cnt += 1
urlhandle.close()
if route == 0:
return results
if route > len(results):
raise InvalidRouteNumber
for res in results:
if res['route_id'] != route:
continue
url = "http://journeyplanner.tfl.gov.uk/user/%s" % (res['url'].replace('&', '&'))
req = urllib2.Request(url)
req.add_header('Set-Cookie', cookie)
r = urllib2.urlopen(req)
return get_route(r)
if __name__ == '__main__':
origin_zipcode = "W13 8PH"
destination_zipcode = "UB 111ET"
results = get_journeys(origin_zipcode, destination_zipcode)
# html = open("/tmp/a.html", 'r')
# results = get_route(html)
from pprint import pprint as p
p(results)
def main(config):
with open(config) as tf:
bot_config = toml.loads(tf.read())
p(bot_config)
mainLoop(bot_config)
