def readDataFromSerial():
rectMsg = list()
try:
if queue.empty(): return 0
if queue.qsize() < len(expressoesRegulares): return 0
line = queue.get(True, 1)
while "TS:" not in line:
if queue.empty(): return 0
line = queue.get(True, 1)
rectMsg.append(line)
for _ in range(len(expressoesRegulares) - 1):
if queue.empty(): return 0
line = queue.get(True, 1)
rectMsg.append(line)
except Exception as err:
print(err)
portaSerial.flushInput()
return 0
portaSerial.flushInput()
print(rectMsg)
return rectMsg
def record_send(queue, lock, ffmpeg):
try:
ffmpeg.cmd
CamLock.acquire()
video, stderr = ffmpeg.run(stdout=subprocess.PIPE)
CamLock.release()
dest = []
lock.acquire()
while not queue.empty():
cid = queue.get()
if cid not in dest:
dest.append(cid)
bot.send_video(cid, video)
lock.release()
except FFRuntimeError as e:
CamLock.release()
error = 'An error occurred while processing your request :('
dest = []
lock.acquire()
while not queue.empty():
cid = queue.get()
if cid not in dest:
dest.append(cid)
bot.send_message(cid, error)
lock.release()
print(str(e))
def count_dir_size(path):
upyun_iter = None
size = 0
while True:
while upyun_iter != 'g2gCZAAEbmV4dGQAA2VvZg':
res = getlist(path, upyun_iter)
if res:
upyun_iter = res[-1]
for i in res[:-1]:
try:
if not i['name']:
continue
new_path = path + i[
'name'] if path == '/' else path + '/' + i['name']
if i['type'] == 'F':
queue.put(new_path)
elif i['type'] == 'N':
print('size ++ ----> {0} B'.format(size))
size += int(i['size'])
except Exception as e:
print(e)
else:
if not queue.empty():
path = queue.get()
upyun_iter = None
queue.task_done()
else:
if not queue.empty():
path = queue.get()
upyun_iter = None
queue.task_done()
else:
break
return size / 1024 / 1024 / 1024
def print_file_with_iter(path):
upyun_iter = None
while True:
while upyun_iter != 'g2gCZAAEbmV4dGQAA2VvZg':
res = getlist(path, upyun_iter)
if res:
upyun_iter = res[-1]
for i in res[:-1]:
try:
if not i['name']:
continue
new_path = path + i[
'name'] if path == '/' else path + '/' + i['name']
if i['type'] == 'F':
queue.put(new_path)
elif i['type'] == 'N':
print(new_path)
record_request(new_path, True)
except Exception as e:
print(e)
else:
if not queue.empty():
path = queue.get()
upyun_iter = None
queue.task_done()
else:
if not queue.empty():
path = queue.get()
upyun_iter = None
queue.task_done()
else:
break
def get_list(path):
upyun_iter = None
up = upyun.UpYun(target_bucket, target_username, target_password)
while True:
while upyun_iter != 'g2gCZAAEbmV4dGQAA2VvZg':
res = sort_data(path, upyun_iter)
if res:
upyun_iter = res[-1]
for i in res[:-1]:
try:
if not i['name']:
continue
new_path = '/' + i[
'name'] if path == '/' else path + '/' + i['name']
if i['type'] == 'F':
queue.put(new_path)
elif i['type'] == 'N':
print(new_path)
push_tasks(new_path, up)
else:
sys.exit(0)
except Exception as e:
print(e)
else:
if not queue.empty():
path = queue.get()
upyun_iter = None
queue.task_done()
else:
if not queue.empty():
path = queue.get()
upyun_iter = None
queue.task_done()
else:
break
def clear_queue(self, queue):
if not queue.empty():
while queue.qsize != 0:
queue.get()
if queue.empty():
log("Work queue EMPTY")
def print_log(queue):
if not queue.empty():
import logging
formatter = logging.Formatter("{asctime} {levelname} : {message}",
style="{")
while not queue.empty():
record = queue.get()
print(formatter.format(record))
def my_task(name, queue):
if not queue.empty():
while not queue.empty():
url = queue.get()
print(f'Task {name} getting URL: {url}')
et = ET()
d = getPage(url)
d.addCallback(success_callback, name, url, et)
yield d
def print_log(queue):
if not queue.empty():
import logging
formatter = logging.Formatter("{asctime} {levelname} : {message}", style="{")
while not queue.empty():
record = queue.get()
msg = formatter.format(record)
print(msg)
if msg.find("ERROR") > -1:
raise Exception()
def my_task(name, queue):
if not queue.empty():
while not queue.empty():
url = queue.get()
print(f"Task {name} getting URL: {url}")
start_time = time.time()
elapsed_time = time.time() - start_time
d = getPage(url)
d.addCallback(success_callback, name, url, elapsed_time)
yield d
def cal_geodesic_dist(kNN_mat, source_id, target_id):
# use BFS search
target_id = int(target_id)
data_size = kNN_mat.shape[0]
k = kNN_mat.shape[1]
depth = 0
# 0 for white, 1 for gray, 2 for black
flag_array = np.zeros([data_size])
path_array = np.zeros([data_size]) - 1
import queue
queue = queue.Queue(data_size)
queue.put(source_id)
# set the gray
flag_array[source_id] = 1
bFindIt = False
while not queue.empty():
# push from queue, set to black
i = int(queue.get())
flag_array[source_id] = 2
for neighbor_id in kNN_mat[i]:
# if not visited, else skip it
neighbor_id = int(neighbor_id)
if flag_array[neighbor_id] == 0:
# set to gray and set the path
flag_array[neighbor_id] = 1
path_array[neighbor_id] = i
#if multi_label_test[neighbor_id] == database_label[target_id]:
if neighbor_id == target_id:
# the target is founded, clean the queue and break the loop
while not queue.empty():
queue.get()
bFindIt = True
break
else:
queue.put(neighbor_id)
flag_array[neighbor_id] = 1
if not bFindIt:
return data_size + 1
result_id = int(neighbor_id)
print("Result ID(same class as target id):%d" % (result_id))
while path_array[result_id] != source_id:
depth += 1
result_id = int(path_array[result_id])
print("child of:%d" % (result_id))
print("Source ID:%d" % (source_id))
return depth
def _task(self):
queue = self.queue
# queue can be overflow
with self.transaction_lock:
while not queue.empty():
queue.get_nowait()
queue.task_done()
queue.put(0)
# INTERNAL: start counter for task
while True:
wait = self.default_execute_wait
event = queue.get()
if event is None:
# STOP EVENT
while not queue.empty():
queue.get_nowait()
queue.task_done()
# TODO: warning not queued event?
# TODO: just new stop flag?
queue.task_done()
# for stop event.
return
time.sleep(wait)
# TODO: how to sleep automation?
# TODO: use some good schuler?
with self.transaction_lock:
current_transaction = self.current_transaction
if current_transaction is None:
with self.transaction() as current_transaction:
pass
if not current_transaction.operations:
queue.put(event + wait)
queue.task_done()
continue
if event >= self.status.default_execute_wait:
self.current_transaction = None
self.execute_transaction(current_transaction)
queue.put(0)
queue.task_done()
def _task(self):
queue = self.queue
# queue can be overflow
with self.transaction_lock:
while not queue.empty():
queue.get_nowait()
queue.task_done()
queue.put(0)
# INTERNAL: start counter for task
while True:
wait = self.default_execute_wait
event = queue.get()
if event is None:
# STOP EVENT
while not queue.empty():
queue.get_nowait()
queue.task_done()
# TODO: warning not queued event?
# TODO: just new stop flag?
queue.task_done()
# for stop event.
return
time.sleep(wait)
# TODO: how to sleep automation?
# TODO: use some good schuler?
with self.transaction_lock:
current_transaction = self.current_transaction
if current_transaction is None:
with self.transaction() as current_transaction:
pass
if not current_transaction.operations:
queue.put(event + wait)
queue.task_done()
continue
if event >= self.status.default_execute_wait:
self.current_transaction = None
self.execute_transaction(current_transaction)
queue.put(0)
queue.task_done()
def ucs(source, target, graph):
""" Uniform-cost graph search """
queue = queue.PriorityQueue() # fringe
queue.put((0, source))
parent = {source:None}
visited = {}
while not queue.empty():
(d, v_in) = queue.get()
if v_in not in visited or d < visited[v_in]:
if v_in == target:
return (d, build_path(parent, target))
for v_out in graph.adj(v_in):
cost = graph.distance(v_in, v_out) + d
if v_out not in visited:
queue.put((cost, v_out))
parent[v_out] = v_in
visited[v_in] = cost
return None
def start(self):
"Start module to start reading files"
# Create new threads
thread1 = RouterThread(1, "Data Link 1", in_file1, delay1, queueList[0])
thread2 = RouterThread(2, "Data Link 2", in_file2, delay2, queueList[1])
thread3 = RouterThread(3, "Data Link 3", in_file3, delay3, queueList[2])
# Start new Threads
thread1.start()
thread2.start()
thread3.start()
# Add threads to thread list
self.threads.append(thread1)
self.threads.append(thread2)
self.threads.append(thread3)
# Wait for all threads to complete
for t in self.threads:
t.join()
print("Exiting Main Thread")
packetParser = self.PacketParser()
# Print output - Get bytes from Queue
print("Printing items from each queue -");
for queue in queueList:
while not queue.empty():
print("***********************************************************************************************************")
packetParser.parsePacket( queue.get() )
def shortest_path(graph, start, goal):
''' Return path shortest from start to goal'''
explored = []
queue = PriorityQueue()
root = (0, [start])
queue.put(root)
if (start == goal):
return "Start = goal"
while True:
if queue.empty():
raise Exception("No way Exception")
current_distance, path = queue.get()
current_point = path[-1]
if current_point == goal:
print('total {} path'.format(queue.qsize()))
return current_distance, path
if current_point not in explored:
if current_point not in graph:
continue
list_point = graph[current_point]
# go through all point can see, construct a new path and
# push it into the queue
for point in list_point:
d = distance(current_point, point)
new_path = list(path)
new_path.append(point)
queue.put((current_distance + d, new_path))
# mark point as explored
explored.append(current_point)
# in case there's no path between the 2 points
return None, "There's no path between the 2 points"
def get_html(queue, mysql, crawl_kw, crawl_num): #获取url页面上的所有url链接
while not queue.empty():
global RES_URL_LIST, CURRENT_URL_COUNT
if len(RES_URL_LIST) >= crawl_num: #判断爬取数据的数量是否已经足够
print(len(RES_URL_LIST))
print("总数达到要求，提前结束")
return
url = queue.get() #从队列中获取url
CURRENT_URL_COUNT += 1
print("队列中还有【%s】个URL，当前爬取的是第【%s】个页面，URL：【%s】" %
(queue.qsize(), CURRENT_URL_COUNT, url))
page_msg = get_page_msg(url)
page_url_list = page_msg[0]
page_title = page_msg[1]
page_text = page_msg[2]
if page_title.find(crawl_kw) != -1 or page_text.find(
crawl_kw) != -1: #标题或正文中包含关键字，才往下走
if len(page_title) > 20 and len(page_text) > 300:
if url not in RES_URL_LIST: #判断url是否添加过，防止数据重复落库
sql = 'INSERT INTO webpage(url,title,text) VALUES("%s","%s","%s")' % (
url, page_title, page_text)
mysql.insert(sql)
RES_URL_LIST.append(
url) #将url添加到全局变量RES_URL_LIST，用于防止数据重复落库
print("关键字【%s】，目前已爬取到数据【%s】条，距离目标还差【%s】条，当前落库的URL为【%s】" %
(crawl_kw, len(RES_URL_LIST),
crawl_num - len(RES_URL_LIST), url))
while page_url_list:
url = page_url_list.pop()
if url not in RES_URL_LIST:
queue.put(url.strip()) #将源码中的所有url放到队列中
print("队列没有东西，退出了")
def test_multi_seq_mutations(self):
self.verify_result = self.input.param("verify_result", False)
queue = queue.Queue()
number_of_times = (self.number_of_documents // self.concurrent_threads)
process_list = []
number_of_buckets = len(self.buckets)
for x in range(self.concurrent_threads):
base_json = self.generate_json_for_nesting()
data_set = self.generate_nested(base_json, base_json, 2)
json_document = self.generate_nested(base_json, data_set, 10)
bucket_number = x % number_of_buckets
prefix = self.buckets[bucket_number].name + "_" + str(x) + "_"
p = Process(target=self.test_seq_mutations,
args=(queue, number_of_times, prefix, json_document,
self.buckets[bucket_number]))
p.start()
process_list.append(p)
for p in process_list:
p.join()
if self.verify_result:
filename = "/tmp/" + self.randomDataGenerator.random_uuid(
) + "_dump_failure.txt"
queue_size = queue.qsize()
if not queue.empty():
self._dump_data(filename, queue)
self.assertTrue(
queue_size == 0,
"number of failures {0}, check file {1}".format(
queue.qsize(), filename))
def run():
# event queue
queue = Queue()
# create each engine process and start them
for id in range(process):
procs.append(P(id, engine, queue, timeout, False))
procs[-1].set_depth(depth)
procs[-1].start()
# read file and fill queue
with open(input, 'r') as fp:
for fen in fp:
fen = fen.replace('"','')
print('Queuing fen {}'.format(fen))
queue.put(fen)
time.sleep(0.2) # not too fast ...
# wait for queue to be empty
while not queue.empty():
print('Still working ...({})'.format(queue.qsize()))
time.sleep(5)
# quit the engine
print('Quitting')
for p in procs:
p.quit()
time.sleep(0.5)
p.kill()
print('Done')
def _dequeue(self, queue):
"""Removes queue entries till an alive reference was found.
The referenced image holder will be returned in this case.
Otherwise if there wasn't found any alive reference
None will be returned.
Args:
queue (queue.Queue): the queue to operate on
Returns:
tuple of (ImageHolder, tuple of (width: int, height: int),
PostLoadImageProcessor):
an queued image holder or None, upper bound size or None,
the post load image processor or None
"""
holder_reference = None
image_holder = None
upper_bound_size = None
post_load_processor = None
while not queue.empty():
holder_reference, upper_bound_size, post_load_processor = \
queue.get_nowait()
image_holder = holder_reference and holder_reference()
if (holder_reference is None or image_holder is not None):
break
return image_holder, upper_bound_size, post_load_processor
def multiCommand(commands):
maxAlterations = int(max([i[2] for i in commands]) * frameRate)
queueList = []
queueLock.acquire()
while not queue.empty():
queueList.append(queue.get())
queue.task_done()
appends = maxAlterations - len(queueList)
if appends > 0:
for i in range(abs(appends)):
queueList.append({})
for c in commands:
commandAlterations = int(c[2] * frameRate)
for i in range(c[0][0], c[0][1]):
start = pixels[i]
bridgeGenerator = bridgeValues(commandAlterations, start, c[1])
for m in range(commandAlterations):
queueList[m][i] = next(bridgeGenerator)
if appends < 0:
for r in range(abs(appends)):
if i in queueList[commandAlterations + r]:
del queueList[commandAlterations + r][i]
while queueList:
queue.put(queueList.pop(0))
queueLock.release()
def insertion_listener():
db = sqlite3.connect('tracker.db')
create_table(db.cursor())
while True:
if (not queue.empty()):
row = queue.get()
insert(db, row[0], row[1], row[2])
def Consumer(queue,order):
#Customers(consumers) order by removing from buffer
while not order.is_set() or not queue.empty():
order_message = queue.get()
logging.info("Customers picking up the order: %s (number = %d", order_message,queue.qsize())
logging.info("Customers have no more orders.")
logging.info("System shuts down.")
def run(self):
while True:
try:
if queue.empty(): break
queue_task = self.queue.get()
except:
break
try:
task_host, task_port = queue_task.split(":")
data = scan_port(task_host, task_port)
if data:
#将有返回结果的数据保存到字典port_data中，key格式‘IP：port’，value格式‘返回的数据’
if data != 'NULL':
port_data[task_host + ":" + task_port] = data
#print('port_data:',port_data)
# 判断IP 端口的服务类型，即端口指纹
server_type = server_discern(task_host, task_port, data)
# server_type如果为空的处理
if not server_type:
h_server, title = get_web_info(task_host, task_port)
if title or h_server: server_type = 'web ' + title
#print(h_server,title)
if server_type:
log('server', task_host, task_port,
server_type.strip())
IPS[task_host + ":" + task_port] = server_type.strip()
#print('='*20)
except Exception as err:
#print(err)
continue
def canFinish(self, numCourses, prerequisites):
# write your code here
#change the prerequirement from list of list to the node_edges,indegree
#Which are to represent the graph format
edges = {i: [] for i in range(numCourses)}
indegree = [0 for i in range(numCourses)]
import queue
for i, j in prerequisites:
edges[j].append(i)
indegree[i] += 1
queue, count = queue.Queue(maxsize=numCourses), 0
for i, v in enumerate(indegree):
if v == 0:
queue.put(i)
while not queue.empty():
node = queue.get()
#error here
count += 1
for vex in edges[node]:
indegree[vex] -= 1
if indegree[vex] == 0:
queue.put(vex)
return count == numCourses
def binaryTreeToLists2(self, root):
result = []
if root is None: return result
import queue
queue = queue.Queue()
queue.put(root)
dummy = ListNode(0)
while not queue.empty():
p = dummy
size = queue.qsize()
for i in range(size):
head = queue.get()
p.next = ListNode(head.val)
p = p.next
if head.left is not None:
queue.put(head.left)
if head.right is not None:
queue.put(head.right)
result.append(dummy.next)
return result
def keys_exist_or_assert_in_parallel(keys,
server,
bucket_name,
test,
concurrency=2,
collection=None):
log = logger.Logger.get_logger()
verification_threads = []
queue = Queue()
for i in range(concurrency):
keys_chunk = BucketOperationHelper.chunks(keys,
len(keys) // concurrency)
t = Thread(target=BucketOperationHelper.keys_exist_or_assert,
name="verification-thread-{0}".format(i),
args=(keys_chunk.get(i), server, bucket_name, test,
queue, collection))
verification_threads.append(t)
for t in verification_threads:
t.start()
for t in verification_threads:
log.info("thread {0} finished".format(t.name))
t.join()
while not queue.empty():
item = queue.get()
if item is False:
return False
return True
def persistence_verification(servers, bucket, timeout_in_seconds=1260):
log = logger.Logger.get_logger()
verification_threads = []
queue = queue.Queue()
rest = RestConnection(servers[0])
nodes = rest.get_nodes()
nodes_ip = []
for node in nodes:
nodes_ip.append(node.ip)
for i in range(len(servers)):
if servers[i].ip in nodes_ip:
log.info("Server {0}:{1} part of cluster".format(
servers[i].ip, servers[i].port))
rest = RestConnection(servers[i])
t = Thread(target=ClusterOperationHelper.
persistence_verification_per_node,
name="verification-thread-{0}".format(servers[i]),
args=(rest, bucket, queue, timeout_in_seconds))
verification_threads.append(t)
for t in verification_threads:
t.start()
for t in verification_threads:
t.join()
log.info("thread {0} finished".format(t.name))
while not queue.empty():
item = queue.get()
if item is False:
return False
return True
def stn_decode(queue, log_probs, decoder, index2label, window, step):
while not queue.empty():
try:
video = queue.get(timeout=3)
score, labels, segments = decoder.decode(log_probs[video])
# cum_segments = np.array([segment.length for segment in segments])
# cum_segments = np.cumsum(cum_segments)
# print('segments', cum_segments)
# print('labels', len(labels))
# labels = np.array(labels)
trancript = [s.label for s in segments]
# print('trancript', trancript)
stn_score, stn_labels, stn_segments = decoder.stn_decode(
log_probs[video], segments, trancript, window, step)
# stn_labels2 = [s.label for s in stn_segments]
# print('stn_labels2', stn_labels2)
# print('stn_labels', len(stn_labels))
# cum_segments = np.array([stn_segment.length for stn_segment in stn_segments])
# cum_segments = np.cumsum(cum_segments)
# print('stn_segments', cum_segments)
# save result
with open('results/' + video, 'w') as f:
f.write('### Recognized sequence: ###\n')
f.write(' '.join([index2label[s.label]
for s in stn_segments]) + '\n')
f.write('### Score: ###\n' + str(stn_score) + '\n')
f.write('### Frame level recognition: ###\n')
f.write(' '.join([index2label[l] for l in stn_labels]) + '\n')
except queue.Empty:
pass
def absoluteFade(indexes, rgb, fadeTime):
'''Is given a color to fade to, and executes fade'''
if not fadeTime:
fadeTime = 1 / frameRate
for c in rgb:
c = makeEightBit(c)
#Calculates how many individual fade frames are needed
alterations = int(fadeTime * frameRate)
queueList = []
queueLock.acquire()
while not queue.empty():
queueList.append(queue.get())
queue.task_done()
#Amount of frames that need to be added to queue
appends = alterations - len(queueList)
#fill out the queue with blank dictionaries to populate
if appends > 0:
for i in range(abs(appends)):
queueList.append({})
#Iterate down indexes, figure out what items in queue need to be altered
for i in indexes:
#INVESTIGATE: THIS MIGHT BE THE SOURCE OF FLASHING ISSUES AT THE START OF A COMMAND
start = pixels[i]
bridgeGenerator = bridgeValues(alterations, start, rgb)
for m in range(alterations):
queueList[m][i] = next(bridgeGenerator)
#If this command overrides a previous command to the pixel, it should wipe any commands remaining
if appends < 0:
for r in range(abs(appends)):
if i in queueList[alterations + r]:
del queueList[alterations + r][i]
while queueList:
queue.put(queueList.pop(0))
queueLock.release()
def run_jobs(queue):
processes = []
# for job_idx in range( 0, len( queue ) ):
# really should protect against number of available engines here
job_idx = 0
while not queue.empty():
get_job_path = queue.get()
process = subprocess.Popen([
'/home/gdrobert/Develompent/adjoint_lumerical/inverse_design/run_proc.sh',
cluster_hostnames[job_idx], get_job_path
])
processes.append(process)
job_idx += 1
completed_jobs = [0 for i in range(0, len(processes))]
while np.sum(completed_jobs) < len(processes):
for job_idx in range(0, len(processes)):
if completed_jobs[job_idx] == 0:
poll_result = processes[job_idx].poll()
if not (poll_result is None):
completed_jobs[job_idx] = 1
time.sleep(1)
def worker():
while not queue.empty():
port = queue.get()
if portscan(port):
print(f'Port {port} is open!')
open_ports.append(port)
def do_work(self, ctime):
node = (ctime + self.me) % max(len(self.ids), self.MINIMUM_TIME)
logging.debug(" Doing work for node {}".format(node))
if node == self.me:
logging.debug(" Skipping self")
return
if node not in self.names: # actually a list of ids, because it's the keys
logging.debug(" Skipping blank slot... small N")
return
pad = self.fetch_pad(node, ctime, as_sender=True)
if pad is None:
logging.debug(" Making chaff for stranger ({})".format(node))
envelope_bytes = self.make_stranger_chaff_envelope(ctime, node)
else:
queue = self.message_queue[node]
if queue.empty():
logging.debug(" Making chaff for friend ({})".format(node))
envelope_bytes = self.make_friend_chaff_envelope(
ctime, node, pad)
else:
logging.info(" Packing data for friend ({})".format(node))
message_bytes = queue.get()
assert isinstance(message_bytes, bytes)
assert len(message_bytes) == MESSAGE_LENGTH
envelope_bytes = self.make_friend_data_envelope(
ctime, node, pad, message_bytes)
assert isinstance(envelope_bytes, bytes)
assert len(envelope_bytes) == ENVELOPE_LENGTH
self.schedule_send_raw_bytes(node, envelope_bytes, ctime)
def service(lock, queue):
print(threading.currentThread().getName(), "Waiting")
with lock:
lock.wait()
while(not queue.empty()):
print(threading.currentThread().getName(), "Done item " + queue.get())
def nextEventFor(self, sid):
with lockEventPoolAssistance:
queue = self.dict[sid]
if not queue.empty():
return queue.get()
return None
def async_write(buffer=[]):
item = queue.get()
buffer.append(item)
if len(buffer) > 500 or queue.empty():
log.debug('Processing {} queue items.'.format(len(buffer)))
with db.transaction():
write_buffer(buffer)
buffer.clear()
def convert(queue):
cmd_flac = ["flac", "--decode", "--silent", "--stdout"]
cmd_lame = ["lame", "-h" "--preset", "224"]
while not queue.empty() and not abort.is_set():
f = queue.get()
pFlac = Popen( cmd_flac + [ f[0] ], stdout=PIPE)
pLame = Popen( cmd_lame + [ f[1] ], stdout=PIPE, stdin=pFlac.stdout, stderr=STDOUT )
stdout, stderr = pLame.communicate()
def handle(self, call, queue): while 1: if queue.empty(): pass else: m = queue.get() call(m) time.sleep(0.1)
def Main():
#try statement for creating the catalog database table if it does not exist, otherwise saves a boolean value that the catalog was already created
try:
create_catalog(cursor, connection)
except:
cat_created = False
success = [] #array that will be used to hold the queue values for successful queries
updated = 0 #boolean value that is used to show if catalog was updated
count = 0 #integer to hold the amount of times we iterate through the for loop that updates the catalog database
tables = [] #array to hold the tables used in the query
firstsplit = [] #array to help in the rudimentary parsing of the query
nodeid = [] #array to hold the nodeid where query was sent
hostnames = [] #array to hold the hostname where query was sent
parse = query.split(" ") #rudimentary parse of the query
#for loop the parses the query, finds every instance of table and stores the tablename into the table array variable
for x, word in enumerate(parse):
if word == "TABLE":
firstsplit.append(parse[x + 1])
#for loop that completes the second part of the parse
for x in firstsplit:
split = x.split('(', 1)
tables.append(split[0])
nodes = ConfigSectionMap("nodecount")['numnodes'] #variable to hold the total amount of nodes listed in the catalog databse
threads = [] #array to hold the parallel threads that will be created
#for loop that creates the threads to send queries to multiple servers, and then saves them to the threads array.
for x in range(1, int(nodes) + 1):
section = "node " + str(x)
threads.append(myThread(x, ConfigSectionMap(section)['hostname'], ConfigSectionMap(section)['ip'], query, queue))
(threads[-1].start()) #starts all threads
nodeid.append(x) #saves the node where the thread is sending the query to into the nodeid array
hostnames.append(ConfigSectionMap(section)['hostname']) #saves the hostname where the thread is sending the query to into the hostnames array
#for loop that joins all the threads
for t in threads:
t.join()
#while loop to save the success or fail of every thread into the success array
while not queue.empty():
success.append(queue.get())
#for loop that iterates through the success array, if a query was successfully updated it checks to see if the query contained a drop or create statement.
#if so, calls the proper function to update the catalog
for x in success:
if x == 1:
if parse[0] == "DROP":
remove_catalog(cursor, tables[0],connection)
updated = 1
if parse[0] == "CREATE":
add_catalog(cursor, tables[0], hostnames[count], 0, nodeid[count], 0, 0, 0, connection)
updated = 1
count += 1
#for loop checks to see if any of the queries succeeded and contained a drop or create statement, if true, prints out a catalog updated statement, and if false, prints out catalog had no updates
if updated == 1:
print(cathost + ": catalog updated.")
else:
print(cathost + ": catalog had no updates.")
connection.close() #closes the connection to the database
def deepcopy_queue2list(queue):
li = []
while not queue.empty():
try:
li.append(queue.get())
except:
pass
""" put items in li back to queue """
for item in li:
queue.put(item)
return li
def run (self):
consumed = 0
while consumed < buffer_size:
myLock.acquire ()
if not queue.empty():
try:
e = queue.get()
print ('<- Consumed', ' -- ', e.title, ' -- size = ', consumed + 1)
except:
print ('no feed yet')
myLock.release ()
consumed =+ 1
def test(queue):
while not queue.empty() and not abort.is_set():
temp = queue.get()
f = temp[0]
cmd = ["flac", "-t", f ]
proc = Popen(cmd, stdout=PIPE, stderr=PIPE)
stdout, stderr = proc.communicate()
print(stderr.decode())
if proc.returncode != 0:
print("%s returned %i." % (cmd, proc.returncode))
abort.set()
break
def run(self): while not queue.empty(): try: name = queue.get(False) except queue.Empty: break with stdout: global done print(self.getName(), name, done, queue.qsize()) done += 1 with open(name) as f: import_from_file(f, dijkstra_lock, mysql_lock)
def usePQ():
queue = PriorityQueue()
queue.put((10, 'dez'))
queue.put((8, 'oito'))
queue.put((9, 'nove'))
queue = PriorityQueue()
queue.put((1, Data(10)))
queue.put((3, Data(30)))
queue.put((2, Data(20)))
while not queue.empty() :
print("%d %s" % queue.get())
def next(self):
queue = self._queue
items = []
item = self.next_item()
if item is None:
return items
items.append(item)
while len(items) < self._config._upload_limit and not queue.empty():
item = self.next_item()
if item:
items.append(item)
return items
def Main():
#try statement for creating the catalog database table if it does not exist, otherwise saves a boolean value that the catalog was already created
success = [] #array that will be used to hold the queue values for successful queries
updates = [] #boolean value that is used to show if catalog was updated, used in for loop to adjust updated variable
updated = 0 #integer to check if catalog was updated, used for print statement
count = 0 #integer to hold the amount of times we iterate through the for loop that updates the catalog database
db_query = [] #array to hold the catalog update queries for each node that was changed
#for loop to populate db_query with queries
for x in range(1, int(numnodes) + 1):
format_list = []
format_list.append(table)
format_list.append(nodeurl[x-1])
format_list.append(partmtd)
format_list.append(x)
format_list.append(column)
format_list.append(param1[x-1])
format_list.append(param2[x-1])
db_query.append("INSERT OR REPLACE INTO DTABLES (tname, nodeurl, partmtd, nodeid, partcol, partparam1, partparam2)\nVALUES\n('{}', '{}', {}, {}, '{}', '{}', '{}');".format(*format_list))
db_runquery(cathost, catip, db_query, updates)
threads = [] #array to hold the parallel threads that will be created
#for loop that creates the threads to send queries to multiple servers, and then saves them to the threads array.
for x in range(1, int(numnodes) + 1):
section = "node " + str(x)
threads.append(myThread(x, ConfigSectionMap(section)['hostname'], ConfigSectionMap(section)['ip'], queries[x-1], queue))
(threads[-1].start()) #starts all threads
nodeid.append(x) #saves the node where the thread is sending the query to into the nodeid array
hostnames.append(ConfigSectionMap(section)['hostname']) #saves the hostname where the thread is sending the query to into the hostnames array
#for loop that joins all the threads
for t in threads:
t.join()
#while loop to save the success or fail of every thread into the success array
while not queue.empty():
success.append(queue.get())
#for loop that iterates through the success array, if a query was successfully updated it checks to see if the query contained a drop or create statement.
#if so, calls the proper function to update the catalog
for x in success:
if x == 1:
print (hostnames[count] + ": " + str(rowcount[count]) + " rows inserted.")
count += 1
#for loop checks to see if any of the queries succeeded, if true, prints out a catalog updated statement, and if false, prints out catalog had no updates
for x in updates:
if x == 1:
updated = 1
if(updated == 1):
print(cathost + ": catalog updated.")
else:
print(cathost + ": catalog had no updates.")
connection.close() #closes the connection to the database
def work(queue):
while True:
if queue.empty():
if self.all_fetched_event.is_set():
break
else:
time.sleep(0.001)
try:
task = queue.get_nowait()
except Exception:
continue
if not os.path.exists(os.path.dirname(task.destination)):
os.makedirs(os.path.dirname(task.destination),
exist_ok=True)
with open(task.destination, 'wb') as f:
f.write(self.__download(task.url))
def search(start, goal):
queue = StateQueue()
queue.push(Move(start))
while not queue.empty():
current = queue.pop()
# print(current[1].state)
# current[1] is necessary because we put the move object in queue using (f(n), move) tuple
if cmp(current[1].state, goal) == 0:
return current[1]
else:
successors = current[1].move()
for i in successors:
# print("pushed", i.state)
queue.push(i)
return None
def check_queue():
global t
text = ''
if not queue.empty():
text = queue.get()
print('get:', text)
l['text'] = text
else:
print('get: - empty -')
if text == 'last':
t = None
else:
root.after(500, check_queue)
def main():
event = Event()
queue = Queue()
proc_pool = [MyProcess(queue, event, top_func) for _ in range(4)]
event.set()
for i in range(1000):
queue.put(i)
for proc in proc_pool:
proc.start()
while not queue.empty():
time.sleep(1)
event.clear()
for proc in proc_pool:
proc.join()
def absoluteFade(targetValues, fadeTime, sixteenBit):
'''Is given a dictionary of indexes and their target values, and a fade time'''
print('Fading now')
targetValues = {int(k): int(v) for k, v in targetValues.items()}
if not fadeTime:
fadeTime = 1 / frameRate
print(targetValues)
#Calculates how many individual fade frames are needed
alterations = int(fadeTime * frameRate)
queueList = []
queueLock.acquire()
while not queue.empty():
queueList.append(queue.get())
queue.task_done()
#Amount of frames that need to be added to queue
appends = alterations - len(queueList)
#fill out the queue with blank dictionaries to populate
if appends > 0:
for i in range(abs(appends)):
queueList.append({})
#Iterate down indexes, figure out what items in queue need to be altered
for i in targetValues:
#INVESTIGATE: THIS MIGHT BE THE SOURCE OF FLASHING ISSUES AT THE START OF A COMMAND
start = pixels[i]
end = targetValues[i]
bridgeGenerator = bridgeValues(alterations, start, end)
print('Index %d' % i)
print('Start fade at %d' % start)
print('End fade at %d' % end)
for m in range(alterations):
if sixteenBit:
value = int(next(bridgeGenerator))
highLow = sixteenToEight(value)
queueList[m][i] = highLow[0]
queueList[m][i + 1] = highLow[1]
else:
queueList[m][i] = int(next(bridgeGenerator))
#If this command overrides a previous command to the pixel, it should wipe any commands remaining
if appends < 0:
for r in range(abs(appends)):
if i in queueList[alterations + r]:
del queueList[alterations + r][i]
if sixteenBit:
del queueList[alterations + r][i + 1]
while queueList:
queue.put(queueList.pop(0))
queueLock.release()
def process_data(threadName, queue, lock):
while True:
lock.acquire()
if not queue.empty():
data = queue.get()
lock.release()
if(data is None):
print ("%s ending now!" % (threadName))
break
else:
print ("%s processing %s" % (threadName, data))
time.sleep(1);
else:
lock.release()
time.sleep(1)
def general_search(problem, queue):
num_expanded = 0
visited = set()
queue.put(adt.Node(problem.initial_state, root=True))
while not queue.empty():
node = queue.get()
if str(node.state) in visited:
continue
visited.add(str(node.state))
num_expanded += 1
node.expanded = num_expanded
# print(node, problem.heuristics[0](node.state))
if problem.goal_test(node.state):
return node, num_expanded
queue.put_many(node.expand(problem.operators))
pass
return None, num_expanded
def dfs_pre_order_imperative(tree): if tree: queue = Queue() queue.push(tree) while not queue.empty(): node = queue.pop_back() while node: yield node if node.right: queue.push(node.right) if node.left: node = node.left elif node.right: if queue._data[-1] == node.right: queue.pop_back() node = node.right else: node = None
def generate(params):
threadCount = int(params['count']) if params['count'] else THREAD_COUNT
targetDir = params['targetDir'] if params['targetDir'] else TARGET_DIR
listFile = params['listFile'] if params['listFile'] else LIST_FILE
if not os.path.isdir(targetDir):
os.mkdir(targetDir)
songList = mission.getList(listFile)
# songList = [mission.getList(listFile)[3],] #for debug
global total
logger = Logger()
queue = GenQueue(len(songList))
threads = []
# Open thread pool
for i in range(threadCount):
thread = GenThread('thread-%d' % i, queue, targetDir, logger, len(songList))
thread.start()
threads.append(thread)
# Fill the task queue
queue.lock.acquire()
startTime = datetime.now()
for i in range(len(songList)):
l = songList[i]
queue.put(l)
logger.logPrint('%s\nStart Generating with %s threads....' % (startTime.strftime('%Y-%m-%d %H:%M:%S'), threadCount))
queue.lock.release()
# Wait for threads to finish
while not queue.empty():
pass
global exitFlag
exitFlag = 1
for t in threads:
t.join()
logger.logPrint('All Done!')
logger.logPrint('Succeeded:%d Failed:%d Total:%d\n' % tuple(total))
delta = datetime.now() - startTime
logger.logPrint('It takes %s seconds to finish.' % delta.seconds)
logger.logCsv(targetDir)
logger.logPrint('CSV dumped.')
logger.logToDisk()
def pollQueue(self, whatInbox):
"""This method checks all the queues from the outside world, and forwards any waiting data
to the child component. Returns False if we propogated a shutdown signal, true otherwise."""
parentSource = self.childInboxMapping[whatInbox]
queue = self.inQueues[whatInbox]
while not queue.empty():
if not self.outboxes[parentSource].isFull():
msg = queue.get_nowait() # won't fail, we're the only one reading from the queue.
try:
self.send(msg, parentSource)
except noSpaceInBox as e:
raise RuntimeError(
"Box delivery failed despite box (earlier) reporting being not full. Is more than one thread directly accessing boxes?"
)
if isinstance(msg, (Ipc.shutdownMicroprocess, Ipc.producerFinished)):
# print ("Quietly dieing?")
return False
else:
# if the component's inboxes are full, do something here. Preferably not succeed.
break
return True
def main():
parser = argparse.ArgumentParser(description='Read a config file.')
parser.add_argument('urqmd_file', metavar='URQMD_FILE', type=argparse.FileType('r', encoding='ascii'), help="Must be of type .f14")
parser.add_argument('out_file', metavar='OUT_FILE', help='The HDF5 (.h5) file to store the information in')
parser.add_argument('--no-event-columns', action='store_true', help="Don NOT include columns for the event number and event impact parameter.")
parser.add_argument('--chunksize', type=int, default = 100000, help='The number of lines to read in one go.')
parser.add_argument('--verbosity', choices=['DEBUG', 'INFO', 'WARNING', 'ERROR'], default='INFO', help="How verbose should the output be")
args = parser.parse_args()
logging.basicConfig(level=args.verbosity, format='%(asctime)s.%(msecs)d %(levelname)s %(message)s', datefmt="%Y-%m-%d %H:%M:%S")
queue = multiprocessing.Queue()
worker = HDF_Worker(args.out_file, queue)
worker.start()
for df in F14_Reader(args.urqmd_file, not args.no_event_columns).iter_dataframes(chunksize = args.chunksize):
logging.debug("DataFrame ready to be written to file.")
if not queue.empty(): time.sleep(0.05)
logging.debug("Queue empty. DataFrame will be put into write queue now.")
queue.put(df.copy())
queue.put('EOF')
queue.close()
queue.join_thread()
worker.join()
def enqueue(self, queue):
print("ArduinoComm::enqueue")
while not queue.empty():
self.msgQueue.put(queue.get())
def drain(queue):
while not queue.empty():
queue.get()
queue.task_done()
return
def manual_correction(folder, target_folder, fit_data_set, nv_type_manual, b_field_manual, queue, current_id_queue, lower_peak_widget, upper_peak_widget, lower_fit_widget, upper_fit_widget):
"""
Backend code to display and fit ESRs, then once input has been received from front-end, incorporate the data into the
current data set
Args:
folders: folder containing the data to analyze
target_folder: target for processed data
fit_data_set: starting point data set containing automatically fitted esrs
nv_type_manual: pointer to empty array to populate with nv type manual corrections
b_field_manual: pointer to empty array to populate with b field manual corrections
queue: queue for communication with front-end in separate thread
lower_peak_widget: widget containing frequency value of lower peak
upper_peak_widget: widget containing frequency value of upper peak
Poststate: populates fit_data_set with manual corrections
"""
lower_peak_manual = [np.nan] * len(fit_data_set)
upper_peak_manual = [np.nan] * len(fit_data_set)
filepath = os.path.join(target_folder, folder[2:])
data_filepath = os.path.join(filepath, 'data-manual.csv')
if os.path.exists(data_filepath):
prev_data = pd.read_csv(data_filepath)
if 'manual_peak_1' in list(prev_data.keys()):
for i in range(0, len(prev_data['manual_B_field'])):
b_field_manual[i] = prev_data['manual_B_field'][i]
nv_type_manual[i] = prev_data['manual_nv_type'][i]
lower_peak_manual = prev_data['manual_peak_1']
upper_peak_manual = prev_data['manual_peak_2']
#TODO: Add saving as you go, add ability to start at arbitrary NV, add ability to specify a next NV number, eliminate peak/correct -> only have 'accept fit'
try:
print('STARTING')
fit_data_set_array = fit_data_set.as_matrix()
w = widgets.HTML("Event information appears here when you click on the figure")
display(w)
# loop over all the folders in the data_subscripts subfolder and retrieve fitparameters and position of NV
esr_folders = glob.glob(os.path.join(folder, '.\\data_subscripts\\*esr*'))
# create folder to save images to
# filepath_image = os.path.join(target_folder, os.path.dirname(folder).split('./')[1])
# image_folder = os.path.join(filepath_image, '{:s}\\images'.format(os.path.basename(folder)))
image_folder = os.path.join(target_folder, '{:s}\\images'.format(folder[2:]))
# image_folder = os.path.normpath(
# os.path.abspath(os.path.join(os.path.join(target_folder, 'images'), os.path.basename(folders[0]))))
if not os.path.exists(image_folder):
os.makedirs(image_folder)
if not os.path.exists(os.path.join(image_folder, 'bad_data')):
os.makedirs(os.path.join(image_folder, 'bad_data'))
f = plt.figure(figsize=(12, 6))
def onclick(event):
if event.button == 1:
if event.key == 'control':
lower_fit_widget.value = event.xdata
else:
lower_peak_widget.value = event.xdata
elif event.button == 3:
if event.key == 'control':
upper_fit_widget.value = event.xdata
else:
upper_peak_widget.value = event.xdata
cid = f.canvas.mpl_connect('button_press_event', onclick)
data_array = []
data_pos_array = []
for esr_folder in esr_folders:
print(esr_folder)
sys.stdout.flush()
data = Script.load_data(esr_folder)
data_array.append(data)
print('looping')
sys.stdout.flush()
nv_folders = glob.glob(folder + '\\data_subscripts\\*find_nv*pt_*')
for nv_folder in nv_folders:
data_pos_array.append(Script.load_data(nv_folder))
while True:
# for i, esr_folder in enumerate(esr_folders):
i = current_id_queue.queue[0]
if i >= len(data_array):
break
lower_fit_widget.value = 0
upper_fit_widget.value = 10e9
lower_peak_widget.value = 2.87e9
upper_peak_widget.value = 0
def display_data(pt_id, lower_peak_widget = None, upper_peak_widget = None, display_fit = True):
# find the NV index
# pt_id = int(os.path.basename(esr_folder).split('pt_')[-1])
# findnv_folder = glob.glob(folder + '\\data_subscripts\\*find_nv*pt_*{:d}'.format(pt_id))[0]
f.clf()
gs = gridspec.GridSpec(1, 2, width_ratios=[3, 1])
ax0 = plt.subplot(gs[0])
ax1 = plt.subplot(gs[1])
ax = [ax0, ax1]
plt.suptitle('NV #{:d}'.format(pt_id), fontsize=16)
# load data
data = data_array[i]
if lower_fit_widget.value == 0 and upper_fit_widget.value == 10e9:
freq = data['frequency']
ampl = data['data']
else:
freq = data['frequency'][np.logical_and(data['frequency'] > lower_fit_widget.value, data['frequency'] < upper_fit_widget.value)]
ampl = data['data'][np.logical_and(data['frequency'] > lower_fit_widget.value, data['frequency'] < upper_fit_widget.value)]
if lower_peak_widget is None:
fit_params = fit_data_set_array[pt_id, 2:8]
else:
lower_peak = lower_peak_widget.value
upper_peak = upper_peak_widget.value
if upper_peak == 0:
start_vals = get_lorentzian_fit_starting_values(freq, ampl)
start_vals[2] = lower_peak
start_vals[1] = ampl[np.argmin(np.abs(freq - lower_peak))] - start_vals[0]
try:
fit_params = fit_lorentzian(freq, ampl, starting_params=start_vals,
bounds=[(0, -np.inf, 0, 0), (np.inf, 0, np.inf, np.inf)])
except:
# ESR fit failed!
fit_params = [np.nan, np.nan, np.nan, np.nan, np.nan, np.nan]
else:
center_freq = np.mean(freq)
start_vals = []
start_vals.append(
get_lorentzian_fit_starting_values(freq[freq < center_freq], ampl[freq < center_freq]))
start_vals.append(
get_lorentzian_fit_starting_values(freq[freq > center_freq], ampl[freq > center_freq]))
start_vals = [
np.mean([start_vals[0][0], start_vals[1][0]]), # offset
np.sum([start_vals[0][3], start_vals[1][3]]), # FWHM
ampl[np.argmin(np.abs(freq-lower_peak))] - start_vals[0][0], ampl[np.argmin(np.abs(freq-upper_peak))]- start_vals[1][0], # amplitudes
lower_peak, upper_peak # centers
]
try:
fit_params = fit_double_lorentzian(freq, ampl, starting_params=start_vals, bounds=
[(0, 0, -np.inf, -np.inf, min(freq), min(freq)), (np.inf, np.inf, 0, 0, max(freq), max(freq))])
except:
fit_params = [np.nan, np.nan, np.nan, np.nan, np.nan, np.nan]
if len(fit_params) == 4 or np.isnan(fit_params[4]):
fit_params = fit_params[0:4]
# get nv positions
# data_pos = {'initial_point': [fit_data_set['xo'].values[pt_id]]}
data_pos = data_pos_array[i]
# pos = data_pos['maximum_point']
# pos_init = data_pos['initial_point']
# plot NV image
FindNV.plot_data([ax[1]], data_pos)
# plot data and fits
# print("fit_params: ", fit_params)
sys.stdout.flush()
if display_fit:
plot_esr(ax[0], data['frequency'], data['data'], fit_params=fit_params)
else:
plot_esr(ax[0], data['frequency'], data['data'], fit_params=[np.nan, np.nan, np.nan, np.nan, np.nan, np.nan])
plt.tight_layout()
plt.subplots_adjust(top=0.85) # Makes room at top of plot for figure suptitle
plt.draw()
plt.show()
return fit_params, pt_id
fit_params, pt_id = display_data(i)
if len(fit_params) == 6:
lower_peak_widget.value = fit_params[4]
upper_peak_widget.value = fit_params[5]
elif len(fit_params) == 4:
lower_peak_widget.value = fit_params[2]
upper_peak_widget.value = 0
while True:
if queue.empty():
time.sleep(.5)
else:
value = queue.get()
if value == -1:
fit_params, point_id = display_data(i, lower_peak_widget=lower_peak_widget, upper_peak_widget=upper_peak_widget)
if len(fit_params) == 6:
lower_peak_widget.value = fit_params[4]
upper_peak_widget.value = fit_params[5]
elif len(fit_params) == 4:
lower_peak_widget.value = fit_params[2]
upper_peak_widget.value = 0
continue
elif value == -2:
display_data(display_fit = False)
fit_params = [np.nan, np.nan, np.nan, np.nan, np.nan, np.nan]
lower_fit_widget.value = 0
upper_fit_widget.value = 10e9
else:
break
if nv_type_manual[i] == 'split':
if np.isnan(fit_params[0]):
lower_peak_manual[i] = lower_peak_widget.value
upper_peak_manual[i] = upper_peak_widget.value
b_field_manual[i] = ((upper_peak_widget.value - lower_peak_widget.value) / 5.6e6)
elif len(fit_params) == 4:
lower_peak_manual[i] = fit_params[2]
b_field_manual[i] = (np.abs(2.87e9-fit_params[2]) / 2.8e6)
else:
lower_peak_manual[i] = fit_params[4]
upper_peak_manual[i] = fit_params[5]
b_field_manual[i] = ((fit_params[5] - fit_params[4]) / 5.6e6)
elif nv_type_manual[i] == 'single':
if np.isnan(fit_params[0]):
lower_peak_manual[i] = lower_peak_widget.value
b_field_manual[i] = 0
else:
lower_peak_manual[i] = fit_params[2]
b_field_manual[i] = 0
if nv_type_manual[i] == '':
if fit_params is None:
f.savefig(os.path.join(os.path.join(image_folder, 'bad_data'), 'esr_pt_{:02d}.jpg'.format(pt_id)))
else:
f.savefig(os.path.join(image_folder, 'esr_pt_{:02d}.jpg'.format(pt_id)))
else:
if nv_type_manual[i] in ['bad', 'no_split']:
f.savefig(os.path.join(os.path.join(image_folder, 'bad_data'), 'esr_pt_{:02d}.jpg'.format(pt_id)))
else:
f.savefig(os.path.join(image_folder, 'esr_pt_{:02d}.jpg'.format(pt_id)))
if not os.path.exists(filepath):
os.makedirs(filepath)
fit_data_set['manual_B_field'] = b_field_manual
fit_data_set['manual_nv_type'] = nv_type_manual
fit_data_set['manual_peak_1'] = lower_peak_manual
fit_data_set['manual_peak_2'] = upper_peak_manual
fit_data_set.to_csv(data_filepath)
f.canvas.mpl_disconnect(cid)
fit_data_set['manual_B_field'] = b_field_manual
fit_data_set['manual_nv_type'] = nv_type_manual
fit_data_set['manual_peak_1'] = lower_peak_manual
fit_data_set['manual_peak_2'] = upper_peak_manual
# filepath = os.path.join(target_folder, folder[2:])
# data_filepath = os.path.join(filepath, 'data-manual.csv')
# filename = '{:s}\\data-manual.csv'.format(os.path.basename(folder))
# filepath = os.path.join(target_folder, os.path.dirname(folder).split('./')[1])
# data_filepath = os.path.join(filepath, filename)
if not os.path.exists(filepath):
os.makedirs(filepath)
fit_data_set.to_csv(data_filepath)
create_shortcut(os.path.abspath(os.path.join(filepath, 'to_data.lnk')), os.path.abspath(folder))
create_shortcut(os.path.join(os.path.abspath(folder), 'to_processed.lnk'), os.path.abspath(filepath))
print('DONE!')
except Exception as e:
print(e)
raise
