file_name large_stringlengths 4 140 | prefix large_stringlengths 0 12.1k | suffix large_stringlengths 0 12k | middle large_stringlengths 0 7.51k | fim_type large_stringclasses 4
values |
|---|---|---|---|---|
nmap.py | except FileNotFoundError:
pass
def import_nmap(result, tag, check_function=all_hosts, import_services=False):
"""
Imports the given nmap result.
"""
host_search = HostSearch(arguments=False)
service_search = ServiceSearch() | parser = NmapParser()
report = parser.parse_fromstring(result)
imported_hosts = 0
imported_services = 0
for nmap_host in report.hosts:
if check_function(nmap_host):
imported_hosts += 1
host = host_search.id_to_object(nmap_host.address)
host.status = nmap_h... | random_line_split | |
nmap.py | except FileNotFoundError:
pass
def import_nmap(result, tag, check_function=all_hosts, import_services=False):
"""
Imports the given nmap result.
"""
host_search = HostSearch(arguments=False)
service_search = ServiceSearch()
parser = NmapParser()
report = parser.parse_froms... | ():
"""
Scans available smb services in the database for smb signing and ms17-010.
"""
service_search = ServiceSearch()
services = service_search.get_services(ports=['445'], tags=['!smb_vulnscan'], up=True)
services = [service for service in services]
service_dict = {}
for service in... | nmap_smb_vulnscan | identifier_name |
nmap.py | map_host.hostnames:
return True
return False
def include_up_hosts(nmap_host):
"""
Includes only hosts that have the status 'up'
"""
if nmap_host.status == 'up':
return True
return False
def nmap(nmap_args, ips):
"""
Start an nmap process with the given args on... | for script_result in nmap_host.scripts_results:
script_result = script_result.get('elements', {})
host = host_dict[str(nmap_host.address)]
if 'fqdn' in script_result:
host.hostname.append(script_result['fqdn'])
if 'os' in script_result... | conditional_block | |
nmap.py | except FileNotFoundError:
pass
def import_nmap(result, tag, check_function=all_hosts, import_services=False):
"""
Imports the given nmap result.
"""
host_search = HostSearch(arguments=False)
service_search = ServiceSearch()
parser = NmapParser()
report = parser.pars... |
def include_up_hosts(nmap_host):
"""
Includes only hosts that have the status 'up'
"""
if nmap_host.status == 'up':
return True
return False
def nmap(nmap_args, ips):
"""
Start an nmap process with the given args on the given ips.
"""
config = Config()
argume... | """
Function to filter out hosts with hostnames
"""
if nmap_host.hostnames:
return True
return False | identifier_body |
tool.py |
else:
sec = str(se)
yymmdd = yy+mm+dd
hhmmss = hour+mini+sec
return yymmdd, hhmmss
#------------------------------------------------------------
def detection(name, ra, dec, time, location):
import numpy as np
import os, glob, sys
from astropy import units as u
from astropy.time import Time
from astro... | sec = '0'+str(se) | conditional_block | |
tool.py | ERROR: type should be large_string, got "\thttps://cpuu.postype.com/post/23066\n\tCode reference\n\thttps://kimdoky.github.io/python/2017/07/21/smtplib_email.html\n\tFile attach\n\thttps://brunch.co.kr/@jk-lab/31\n\t'''\n\timport smtplib\n\tfrom email.mime.text import MIMEText\n\timport codecs\n\temail_text = codecs.open(filename, 'rb', 'utf-8')\n\tmsg = MIMEText(email_text.read())\n\temail_text.close()\n\tmsg['Subject']\t= subject\n\tmsg['From']\t\t= sendID\n\tsmtp_gmail\t\t= smtplib.SMTP_SSL('smtp.gmail.com', 465)\n\tsmtp_gmail.login(sendID, sendPW)\n\tsmtp_gmail.sendmail(sendID, reciver, msg.as_string())\n\tsmtp_gmail.quit()\n\tcomment\t= 'Send '+filename+'\\n'+'From '+sendID+' To '+reciver; print(comment)\n#------------------------------------------------------------\ndef send_gmail(subject, contents, fromID, fromPW, toIDs, ccIDs=None, path=None):\n\t'''\n\tSEND GMAIL\n\tSecurity reference\n\thttps://cpuu.postype.com/post/23066\n\tCode reference\n\thttps://kimdoky.github.io/python/2017/07/21/smtplib_email.html\n\tFile attach\n\thttps://brunch.co.kr/@jk-lab/31\n\t'''\n\timport os\n\timport smtplib\n\tfrom email.mime.base import MIMEBase\n\tfrom email.mime.text import MIMEText\n\tfrom email.mime.multipart import MIMEMultipart\n\tfrom email.header import Header \n\t#msg\t\t= MIMEBase('mixed')\n\t#msg\t\t= MIMEText(contents, 'plain', 'utf-8')\n\tmsg\t\t= MIMEMultipart()\n\tmsg['Subject']\t= Header(s=subject, charset=\"utf-8\")\n\tmsg['From']\t\t= fromID\n\tmsg['To']\t\t= toIDs\n\tif ccIDs != None:\n\t\tmsg['Cc']\t\t= ccIDs\n\tmsg.attach(MIMEText(contents, 'plain', 'utf-8'))\n\t#\tATTACH TEXT FILE ON MAIL\n\tif path != None:\n\t\tif type(path) != list:\n\t\t\tfilelist\t= []\n\t\t\tfilelist.append(path)\n\t\telse:\n\t\t\tfilelist\t= path\n\n\t\tfor file in filelist:\n\t\t\tpart\t= MIMEBase(\"application\", \"octet-stream\")\n\t\t\tpart.set_payload(open(file, 'rb').read())\n\t\t\tpart.add_header(\t'Content-Disposition',\n\t\t\t\t\t\t\t\t'attachment; filename=\"%s\"'% os.path.basename(file))\n\t\t\tmsg.attach(part)\n\t\n\n\n\t#\tACCESS TO GMAIL & SEND MAIL\n\tsmtp_gmail\t\t= smtplib.SMTP_SSL('smtp.gmail.com', 465)\n\tsmtp_gmail.login(fromID, fromPW)\n\tsmtp_gmail.sendmail(msg[\"From\"], msg[\"To\"].split(\",\") + msg[\"Cc\"].split(\",\"), msg.as_string())\n\tsmtp_gmail.quit()\n\tcomment\t= 'Send '+str(path)+'\\nFrom\\t'+fromID+'\\nTo'; print(comment); print(toIDs)\n#------------------------------------------------------------\ndef abs2app(mag, magerr, gwdist, gwdiststd):\n\timport numpy as np\n\tapp\t\t= 5*np.log10(gwdist)-5+mag\n\tapperr\t= 5*gwdiststd/(gwdist*np.log(10))\n\treturn app, apperr\n#------------------------------------------------------------\ndef GW170817_like(gwdist, gwdiststd):\n\timport numpy as np\n\tm0\t\t= 17.476\t#\t[AB] in i-band (t0+10h)\n\tm0err\t= 0.018\t\n\tdist0\t= 38.4\t\t#\t[MPC]\tIm et al. 2017\n\tdist0err= 8.9\n\tm\t\t= m0+5.*np.log10(gwdist/dist0)\n\tmerr\t= np.sqrt( (m0err)**2 + ((5.*gwdiststd)/(gwdist*np.log(10)))**2 + ((5.*dist0err)/(dist0*np.log(10)))**2 )\n\treturn m, merr\n#------------------------------------------------------------\ndef func_linear(a, x, scaling=[0, 0]):\n\txpt, ypt= scaling[0], scaling[1]\n\tydel\t= ypt - (-1*a*xpt)\n\treturn -1*a*x + ydel\n#------------------------------------------------------------\ndef calc_app(mag, magerr, gwdist0, gwdiststd0, gwdist1, gwdiststd1):\n\timport numpy as np\n\tapp\t\t= mag+5*np.log10(gwdist1/gwdist0)\n\tapperr\t= np.sqrt( (magerr)**2 + ((5*gwdiststd1)/(np.log(5)*gwdist1))**2 + ((5*gwdiststd0)/(np.log(5)*gwdist0))**2 )\n\treturn app, apperr\n#------------------------------------------------------------\ndef ds9regmaker(filename, name, ra, dec):\n\timport os,sys\n\timport string\n\tfrom astropy.io import ascii \n\timport numpy as np\n\timport math\n\t'''\n\tracol\t\t= 'ALPHA_J2000'\n\tdeccol\t\t= 'DELTA_J2000'\n\tname\t\t= 'NUMBER'\n\tintbl\t\t= ascii.read(filename)\n\t'''\n\tradius\t= \"\"\" 5\" \"\"\"\n\tcolor\t= \"green\"\n\tf\t\t= open(filename, 'w')\n\n\thead1\t= \"# Region file format: DS9 version 4.1\\n\"\n\thead2\t= \"\"\"global color=green dashlist=8 3 width=1 font=\"helvetica 10 normal roman\" select=1 highlite=1 dash=0 fixed=0 edit=1 move=1 delete=1 include=1 source=1\\n\"\"\"\n\thead3\t= \"fk5\\n\"\n\n\tf.write(head1)\n\tf.write(head2)\n\tf.write(head3)\n\n\tfor n in range(len(ra)):\n\t\tbody=\"circle(\"+str(ra[n])+\",\"+str(dec[n])+\",\"+radius+\") # color=\"+color+\" text={\"+str(name[n])+\"}\\n\"\t\n\t\tf.write(body)\n\tf.close()\n#------------------------------------------------------------\ndef rtsmaker(observatory, headname, save_path, obspath, catpath, start, end, altlimit=30., moonseperation=40., sunlimit='-18', numlimit=100):\n\timport pytz\n\timport jdcal\n\timport ephem\n\t#from numpy import *\n\timport numpy as np\n\timport os, sys\n\timport string\n\timport datetime\n\timport astropy.units as u\n\tfrom astropy.io import ascii\n\timport mskpy.observing as obs\n\timport astropy.coordinates as coord\n\tfrom astropy import units as u\n\tfrom astropy.coordinates import SkyCoord\n\n\t#------------------------------------------------------------#\n\t#\tINPUT SAMPLE\n\t#------------------------------------------------------------#\n\t'''\n\tobservatory\t\t= 'SAO'\n\tsave_path\t\t= './'\n\tobspath\t\t\t= \"/home/gw/Research/observatory.txt\"\n\tcatpath\t\t\t= 'MS181101ab_Preliminary-all_candidates.txt'\n\tstart\t\t\t= '2019/04/17'\n\tend\t\t\t\t= '2019/04/19'\n\t#altitute limit and moon seperation, moon serperation is a little bit close (2~3 deg)\n\tnumlimit\t\t= 100\n\taltlimit\t\t= 30.\n\tmoonseperation\t= 40.\n\tsunlimit\t\t= '-18'\n\t'''\n\t#------------------------------------------------------------#\n\t#\tOBSERVATORY INFO.\n\t#------------------------------------------------------------#\n\tobsinfo\t\t\t= ascii.read(obspath)\n\tobsname \t= np.copy(obsinfo['name'])\n\tobsindex\t\t= np.where(obsname == observatory)[0]\n\tobslat\t\t\t= (np.copy(obsinfo['latitude(N+)'])[obsindex])[0]\n\tobslon\t\t\t= (np.copy(obsinfo['longitude(E+)'])[obsindex])[0]\n\tobsalt\t\t\t= (np.copy(obsinfo['altitude'])[obsindex])[0]\n\tobstz\t\t\t= (np.copy(obsinfo['timezone'])[obsindex])[0]\n\ttz\t\t\t\t= pytz.timezone(obstz)\n\t#------------------------------------------------------------#\n\tobserv\t\t\t= ephem.Observer()\n\tobserv.lat\t\t= str(obslat)\n\tobserv.lon\t\t= str(obslon)\n\tobserv.elevation= obsalt\n\tobserv.horizon\t= sunlimit\n\t#------------------------------------------------------------#\n\t#objects from catalog file\n\ttdata\t\t\t= ascii.read(catpath)\n\tobjname\t\t\t= tdata['name']\n\tra\t\t\t\t= tdata['ra']\n\tdec\t\t\t\t= tdata['dec']\n\tprior\t\t\t= tdata['sort']\n\trank\t\t\t= tdata['rank']\t\t\t\n\tdist\t\t\t= tdata['dist']\n\n\tRA\t\t\t\t= coord.Angle(ra, unit = u.deg)\n\tDec\t\t\t\t= coord.Angle(dec, unit = u.deg)\n\n\tradd\t\t\t= RA.value\n\trad\t\t\t\t= RA.hour\n\tdecd\t\t\t= Dec.value\n\tdecdd\t\t\t= Dec.degree\n\n\t#angular distance calculation\n\tdef angsep(ra1deg, dec1deg, ra2deg," | #------------------------------------------------------------
def sendmail(filename, subject, sendID, sendPW, reciver):
'''
Security reference | random_line_split | |
tool.py | ():
'''
CONVERT 'TIME' TO YYMMDD, HHMMSS FORM.
INPUT : NONE
OUTPUT : STRIG FORM OF 'YYMMDD', 'HHMMSS'
'''
import numpy as np
import time
now = time.gmtime(time.time())
y, m, d = now.tm_year, now.tm_mon, now.tm_mday
ho, mi, se = now.tm_hour, now.tm_min, now.tm_sec
yy = str(y)[2:]
if len(str(m)) < 2:... | timename | identifier_name | |
tool.py | ')
msg = MIMEText(email_text.read())
email_text.close()
msg['Subject'] = subject
msg['From'] = sendID
smtp_gmail = smtplib.SMTP_SSL('smtp.gmail.com', 465)
smtp_gmail.login(sendID, sendPW)
smtp_gmail.sendmail(sendID, reciver, msg.as_string())
smtp_gmail.quit()
comment = 'Send '+filename+'\n'+'From '+sendID+' ... | save_path = './'
obspath = "/home/gw/Research/observatory.txt"
catpath = 'MS181101ab_Preliminary-all_candidates.txt'
start = '2019/04/17'
end = '2019/04/19'
#altitute limit and moon seperation, moon serperation is a little bit close (2~3 deg)
numlimit = 100
altlimit = 30.
moonseperation = 40.
sunl... | import pytz
import jdcal
import ephem
#from numpy import *
import numpy as np
import os, sys
import string
import datetime
import astropy.units as u
from astropy.io import ascii
import mskpy.observing as obs
import astropy.coordinates as coord
from astropy import units as u
from astropy.coordinates import ... | identifier_body |
retina_loss.py | (image_shape,stride):
'''
transfor one fmap coords to orig coords
Args
featurn [batch_size,h,w,c]
stride int
Returns
coords [n,2]
'''
h,w= image_shape
shifts_x = torch.arange(0, w * stride, stride, dtype=torch.float32)
shifts_y = torch.arange(0, h * stride, stride, dtype=torc... | coords_fmap2orig | identifier_name | |
retina_loss.py | W)
return shift_anchor: (H*W*num,4)
"""
ori_coords = coords_fmap2orig(image_shape, stride) # (H*W, 4) 4:(x,y,x,y)
ori_coords = ori_coords.to(device=anchors.device)
shift_anchor = ori_coords[:, None, :] + anchors[None, :, :]
return shift_anchor.reshape(-1, 4)
def calc... | super(LOSS, self).__init__()
self.reg_mode = reg_mode | identifier_body | |
retina_loss.py |
areas = anchors[:, 2] * anchors[:, 3] # (9,)
# fix the ratios of w, h
anchors[:, 2] = np.sqrt(areas / np.repeat(ratios, len(scales))) # (9,)
anchors[:, 3] = anchors[:, 2] * np.repeat(ratios, len(scales)) # (9,)
# transfrom from(0 ,0, w, h ) to ( x1, y1, x2, y2)
ancho... | reg_loss = torch.tensor(0).float().cuda()
else:
reg_loss = torch.tensor(0).float()
return reg_loss
def compute_giou_loss(boxes1, boxes2):
"""
boxes1 :(N,4) (x1,y1,x2,y2)
boxes2: (N,4) (x1,y1,x2,y2)
"""
x1y1 = torch.max(boxes1[:, :2], boxes2[:, :2])
x2y2 = ... |
preds_boxes = torch.stack([pred_x1,pred_y1,pred_x2,pred_y2], dim=0).t() #(num_pos,4)
reg_loss = compute_giou_loss(gt_boxes, preds_boxes)
else:
if torch.cuda.is_available(): | random_line_split |
retina_loss.py |
areas = anchors[:, 2] * anchors[:, 3] # (9,)
# fix the ratios of w, h
anchors[:, 2] = np.sqrt(areas / np.repeat(ratios, len(scales))) # (9,)
anchors[:, 3] = anchors[:, 2] * np.repeat(ratios, len(scales)) # (9,)
# transfrom from(0 ,0, w, h ) to ( x1, y1, x2, y2)
ancho... |
else:
reg_loss = torch.tensor(0).float()
return reg_loss
def compute_giou_loss(boxes1, boxes2):
"""
boxes1 :(N,4) (x1,y1,x2,y2)
boxes2: (N,4) (x1,y1,x2,y2)
"""
x1y1 = torch.max(boxes1[:, :2], boxes2[:, :2])
x2y2 = torch.min(boxes1[:, 2:], boxes2[:, 2:])
wh = torc... | reg_loss = torch.tensor(0).float().cuda() | conditional_block |
preprocess_lidc1.py | ()
def threadsafe_generator(f):
"""A decorator that takes a generator function and makes it thread-safe.
"""
def g(*a, **kw):
return threadsafe_iter(f(*a, **kw))
return g
def plot(vol,x,y,z):
corner1 = np.array([x,y,z])-np.array(CROP_SHAPE)/2
corner2 = corner1+np.array(CROP_SHAPE)
... | cluster_group=[]
for ann in cluster:
diameter = ann.estimate_diameter()
features = ann.feature_vals()
c = ann.centroid()
c[:2]=c[:2]*np.array(spacing[:2])
c[2] = c[2]-z0
c = c/np.array(NEW_SPACING)
b = ann.bbox()
... | for cluster in clusters: | random_line_split |
preprocess_lidc1.py | ()
def threadsafe_generator(f):
"""A decorator that takes a generator function and makes it thread-safe.
"""
def g(*a, **kw):
return threadsafe_iter(f(*a, **kw))
return g
def plot(vol,x,y,z):
corner1 = np.array([x,y,z])-np.array(CROP_SHAPE)/2
corner2 = corner1+np.array(CROP_SHAPE)
... |
def shift_radius(shift):
r = 100
while r > shift:
v = np.random.uniform(-shift,high=shift,size=(3,))
r = np.linalg.norm(v)
vox_shift = (v/np.array(NEW_SPACING)).astype(int)
return vox_shift
def find_nodule(annotation,min_agreement):
good_clusters = [cluster for cluster in annotation if len(clus... | Focus_radius = 30 # mm
dist = np.linalg.norm( (np.array(pos)-np.array(centroid))*np.array(NEW_SPACING))/Focus_radius
return max(1-dist,0) | identifier_body |
preprocess_lidc1.py | ()
def threadsafe_generator(f):
"""A decorator that takes a generator function and makes it thread-safe.
"""
def g(*a, **kw):
return threadsafe_iter(f(*a, **kw))
return g
def plot(vol,x,y,z):
corner1 = np.array([x,y,z])-np.array(CROP_SHAPE)/2
corner2 = corner1+np.array(CROP_SHAPE)
... |
perm = range(len(annotations))
random.shuffle(perm)
data = [data[i] for i in perm]
annotations= [annotations[i] for i in perm]
data=np.asarray(data)
return data,annotations
def soft_focus(pos,centroid):
Focus_radius = 30 # mm
dist = np.linalg.norm( (np.array(pos)-np.array(centroid))*n... | data.append(np.load(name))
annotation_file_name = '.'.join(name.split('.')[:-1])+'annotation.txt'
with open(annotation_file_name,'r') as pickle_file:
annotations.append(pickle.load(pickle_file)) | conditional_block |
preprocess_lidc1.py | ()
def threadsafe_generator(f):
"""A decorator that takes a generator function and makes it thread-safe.
"""
def g(*a, **kw):
return threadsafe_iter(f(*a, **kw))
return g
def plot(vol,x,y,z):
corner1 = np.array([x,y,z])-np.array(CROP_SHAPE)/2
corner2 = corner1+np.array(CROP_SHAPE)
... | (shift):
r = 100
while r > shift:
v = np.random.uniform(-shift,high=shift,size=(3,))
r = np.linalg.norm(v)
vox_shift = (v/np.array(NEW_SPACING)).astype(int)
return vox_shift
def find_nodule(annotation,min_agreement):
good_clusters = [cluster for cluster in annotation if len(cluster)>=min_agreement... | shift_radius | identifier_name |
kinematics.py |
def tableread(filelist, start, frames, onlyinclude=''):
"""
Read a list of lists, from a Nexus CSV export, to extract vector data.
Output is a dictionary of lists.
Inputs:-
filelist = the data
start = the row number where data to be read starts
frames = dict of Start and End fra... | """
thisfile = open(file)
thisreader = csv.reader(thisfile)
filelist = np.array(list(thisreader))
return filelist
| random_line_split | |
kinematics.py | filewidth = len(filelist[start-2])-1
output = {}
startframe = start - int(filelist[start][0]) + 1
for col in range(2,filewidth):
# Name the datatype in each column
if filelist[start-3][col]:
tmp = filelist[start-3][col]+filelist[start-2][col]
elif filelist[star... | if m % cut == 0 and m != 0:
line[m] = 'del' | conditional_block | |
kinematics.py | frames = dict of Start and End frames for strides
onlyinclude = optional argument, only columns where title includes this will be included
"""
filewidth = len(filelist[start-2])-1
output = {}
startframe = start - int(filelist[start][0]) + 1
for col in range(2,filewidth):
# Name t... | (array):
"""
Make numpy array rows the same length by shortening long ones.
"""
lengths = [len(x) for x in array]
#shortindex = lengths.index(min(lengths))
shortest = min(lengths)
for n in range(len(array)):
line = array[n]
if len(array[n]) != shortest:
... | arraycleaner | identifier_name |
kinematics.py | frames = dict of Start and End frames for strides
onlyinclude = optional argument, only columns where title includes this will be included
"""
filewidth = len(filelist[start-2])-1
output = {}
startframe = start - int(filelist[start][0]) + 1
for col in range(2,filewidth):
# Name t... |
def arraycleaner(array):
"""
Make numpy array rows the same length by shortening long ones.
"""
lengths = [len(x) for x in array]
#shortindex = lengths.index(min(lengths))
shortest = min(lengths)
for n in range(len(array)):
line = array[n]
if len(array[n]) != sho... | """
Returns the minimum foot clearance in middle of swing in marked stride.
Inputs: Toe marker Z (list), Start frame, foot off frame, end frame, start fraction of mid swing, end fraction of mid swing.
Output: minimum clearance, frame it occurs at.
"""
swing = ToeZ[FootOff:EndFrame]
ground ... | identifier_body |
client.py | PILToWX(self, pil_image):
#"convert a PIL imageto a wxImage"
if pil_image.mode != 'RGB': # SetData() requires an RGB image
pil_image = pil_image.convert('RGB')
imageData = pil_image.tostring('raw', 'RGB')
imageWx = wx.EmptyImage(pil_image.size[0], pil_image.size[1])
imageWx.SetData(imageData)
return ima... | OnSaveConf, button1)
self.Bind(wx.EVT_BUTTON, self.OnCancel, button2)
vbox = wx.BoxSizer(wx.VERTICAL)
hbox1 = wx.BoxSizer(wx.HORIZONTAL)
hbox2 = wx.BoxSizer(wx.HORIZONTAL)
hbox3 = wx.BoxSizer(wx.HORIZONTAL)
hbox4 = wx.BoxSizer(wx.HORIZONTAL)
hbox1.Add(ipLabel,flag=wx.LEFT,border=8)
hbox1.Add(self.ipT... | identifier_body | |
client.py | .RIGHT|wx.EXPAND, border=10)
vbox.Add((-1, 10))
hbox4.Add(button3,flag=wx.ALIGN_RIGHT|wx.RIGHT,border=10) #save
hbox4.Add(button2,wx.RIGHT,border=10) #exit
vbox.Add(hbox4,flag=wx.ALIGN_RIGHT|wx.RIGHT|wx.BOTTOM,border=10)
#sizer.Add(button1, 0) #0่กจ็คบๆฏไพ
#sizer.Add(button2, 3)
#sizer.Add(button3, 5,wx.BOTTO... | text)
fh.close()
def On | conditional_block | |
client.py | a wxImage"
if pil_image.mode != 'RGB': # SetData() requires an RGB image
pil_image = pil_image.convert('RGB')
imageData = pil_image.tostring('raw', 'RGB')
imageWx = wx.EmptyImage(pil_image.size[0], pil_image.size[1])
imageWx.SetData(imageData)
return imageWx
#bitmap = wx.BitmapFromImage(image)
def OnIc... | vbox.Add((-1, 50))
hbox4.Add(button1,flag=wx.LEFT,border=18) | random_line_split | |
client.py | =content.split('\n')
for ln in lines:
if ln.find('##<img src=') >=0:
print ln
pat=re.compile(r'##<img src="(.*?)"/>##')
try:
img_src=pat.findall(ln)[0]
print 'find img_src:',img_src
catalog=self.catalogText.GetValue().strip()
url='http://'+self.host+'/dl?'+self.user+'/'+catalog+img_... | veConf, | identifier_name | |
ftp_manage.py | # print(request)
msg = "ๅฝๅ่ทฏๅพ๏ผ%s" % self.current_path
# self.conn.send(msg.encode('utf-8'))
return msg.encode('utf-8')
def mkdir(self, request):
print(request)
new_dir = request.split()[1]
abs_path = os.path.join(settings.BaseDir, self.current_path)
if... | ze": file_size }
self.conn.send(pickle.dumps(res))
# ๆฅๆถๅฎขๆท็ซฏๅผๅงไผ ่พ็ๆไปค | conditional_block | |
ftp_manage.py | pickle.dump(user_info, user_obj)
# pickle.dump()
class FtpManage():
def __init__(self, conn):
# ่ฏปๅๆฐๆฎๅบ
# self.name = None
self.conn = conn
self.is_certified = False # ๆฏๅฆๅทฒ็ป่ฎค่ฏ
self.current_path = None # ๅฝๅ่ทฏๅพ
# self.db_file = os.path.join(settings.db... | self.user_info = get_info(self.name)
# print(self.user_info.__dict__)
if self.user_info.password == password:
self.is_certified = True
self.current_path = self.user_info.current_path
send_data['response']['msg'] = "่ฎค่ฏๆๅ๏ผ"
el... | random_line_split | |
ftp_manage.py | pickle.dump(user_info, user_obj)
# pickle.dump()
class FtpManage():
def __init__(self, conn):
# ่ฏปๅๆฐๆฎๅบ
# self.name = None
self.conn = conn
self.is_certified = False # ๆฏๅฆๅทฒ็ป่ฎค่ฏ
self.current_path = None # ๅฝๅ่ทฏๅพ
# self.db_file = os.path.join(settings.db, name)... | def pwd(self, request):
# print(request)
msg = "ๅฝๅ่ทฏๅพ๏ผ%s" % self.current_p
ath
# self.conn.send(msg.encode('utf-8'))
return msg.encode('utf-8')
def mkdir(self, request):
print(request)
new_dir = request.split()[1]
abs_path = os.path.join(settings.BaseDir, ... | ame = request['name']
password = request['password']
send_data = {}
send_data['action'] = 'login'
send_data['response'] = {}
if self.name in os.listdir(settings.db):
self.user_info = get_info(self.name)
# print(self.user_info.__dict__)
if self.... | identifier_body |
ftp_manage.py | pickle.dump(user_info, user_obj)
# pickle.dump()
class | ():
def __init__(self, conn):
# ่ฏปๅๆฐๆฎๅบ
# self.name = None
self.conn = conn
self.is_certified = False # ๆฏๅฆๅทฒ็ป่ฎค่ฏ
self.current_path = None # ๅฝๅ่ทฏๅพ
# self.db_file = os.path.join(settings.db, name)
self.db_file = None
self.user_info = None
# ็จๆท็ป้
... | FtpManage | identifier_name |
rows.go | err != nil {
return nil, err
}
return slice, nil
}
// CollectOneRow calls fn for the first row in rows and returns the result. If no rows are found returns an error where errors.Is(ErrNoRows) is true.
// CollectOneRow is to CollectRows as QueryRow is to Query.
func CollectOneRow[T any](rows Rows, fn RowToFunc[T]... | {
sf := dstElemType.Field(i)
if sf.PkgPath != "" && !sf.Anonymous {
// Field is unexported, skip it.
continue
}
// Handle anoymous struct embedding, but do not try to handle embedded pointers.
if sf.Anonymous && sf.Type.Kind() == reflect.Struct {
scanTargets, err = rs.appendScanTargets(dstElemValue.F... | conditional_block | |
rows.go | pgconn.CommandTag, error) {
defer rows.Close()
for rows.Next() {
err := rows.Scan(scans...)
if err != nil {
return pgconn.CommandTag{}, err
}
err = fn()
if err != nil {
return pgconn.CommandTag{}, err
}
}
if err := rows.Err(); err != nil {
return pgconn.CommandTag{}, err
}
return rows.Comm... | for i, desc := range fldDescs { | random_line_split | |
rows.go | make([]pgtype.ScanPlan, len(values))
rows.scanTypes = make([]reflect.Type, len(values))
for i := range dest {
rows.scanPlans[i] = m.PlanScan(fieldDescriptions[i].DataTypeOID, fieldDescriptions[i].Format, dest[i])
rows.scanTypes[i] = reflect.TypeOf(dest[i])
}
}
for i, dst := range dest {
if dst == nil ... | {
dst := rs.ptrToStruct
dstValue := reflect.ValueOf(dst)
if dstValue.Kind() != reflect.Ptr {
return fmt.Errorf("dst not a pointer")
}
dstElemValue := dstValue.Elem()
scanTargets := rs.appendScanTargets(dstElemValue, nil)
if len(rows.RawValues()) > len(scanTargets) {
return fmt.Errorf("got %d values, but ds... | identifier_body | |
rows.go | returned. Rows will be closed
// when ForEachRow returns.
func ForEachRow(rows Rows, scans []any, fn func() error) (pgconn.CommandTag, error) {
defer rows.Close()
for rows.Next() {
err := rows.Scan(scans...)
if err != nil {
return pgconn.CommandTag{}, err
}
err = fn()
if err != nil {
return pgconn.... | fieldPosByName | identifier_name | |
build.py | openssl'
OPENSSL_OQS_BRANCH = 'OpenSSL_1_0_2-stable'
OPENSSL_OQS_COMMIT = '01f211920aea41640c647f462e9d7c4c106e3240'
OPENVPN_TGZ_NAME = '/tmp/openvpn-2.4.4.tar.gz'
OPENVPN_GUI_TGZ_NAME = '/tmp/openvpn-gui-11.tar.gz'
OPENVPN_REPO_DIRNAME = 'openvpn-2.4.4'
OPENVPN_INSTALL_EXE_NAME = 'openvpn-install-2.4.4-I601.exe'
OPEN... |
cmd.append(repo_url)
if local_name:
cmd.append(local_name)
run_command(cmd)
if commit is not None:
if local_name:
os.chdir(local_name)
else:
print "git_clone with a commit ID only valid with a local_name"
sys.exit(1)
cmd = [... | cmd.extend(['--branch', branch]) | conditional_block |
build.py | '
OPENSSL_OQS_BRANCH = 'OpenSSL_1_0_2-stable'
OPENSSL_OQS_COMMIT = '01f211920aea41640c647f462e9d7c4c106e3240'
OPENVPN_TGZ_NAME = '/tmp/openvpn-2.4.4.tar.gz'
OPENVPN_GUI_TGZ_NAME = '/tmp/openvpn-gui-11.tar.gz'
OPENVPN_REPO_DIRNAME = 'openvpn-2.4.4'
OPENVPN_INSTALL_EXE_NAME = 'openvpn-install-2.4.4-I601.exe'
OPENVPN_GUI... |
If the error is for another reason it re-raises the error.
Usage : ``shutil.rmtree(path, onerror=onerror)``
"""
import stat
if not os.access(path, os.W_OK):
# Is the error an access error ?
os.chmod(path, stat.S_IWUSR)
func(path)
else:
raise
def build_openvpn_... | random_line_split | |
build.py | '
OPENSSL_OQS_BRANCH = 'OpenSSL_1_0_2-stable'
OPENSSL_OQS_COMMIT = '01f211920aea41640c647f462e9d7c4c106e3240'
OPENVPN_TGZ_NAME = '/tmp/openvpn-2.4.4.tar.gz'
OPENVPN_GUI_TGZ_NAME = '/tmp/openvpn-gui-11.tar.gz'
OPENVPN_REPO_DIRNAME = 'openvpn-2.4.4'
OPENVPN_INSTALL_EXE_NAME = 'openvpn-install-2.4.4-I601.exe'
OPENVPN_GUI... | (cmd):
print '***** Running command: %s' % ' '.join(map(str,cmd))
p = subprocess.Popen(cmd)
p.wait()
# Clone a git repo, using the default name, in the CWD
# If branch is specified, clone that branch
def git_clone(repo_url, branch, local_name, commit=None):
r = re.compile(".*/(.*)$")
m = r.match(re... | run_command | identifier_name |
build.py | '
OPENSSL_OQS_BRANCH = 'OpenSSL_1_0_2-stable'
OPENSSL_OQS_COMMIT = '01f211920aea41640c647f462e9d7c4c106e3240'
OPENVPN_TGZ_NAME = '/tmp/openvpn-2.4.4.tar.gz'
OPENVPN_GUI_TGZ_NAME = '/tmp/openvpn-gui-11.tar.gz'
OPENVPN_REPO_DIRNAME = 'openvpn-2.4.4'
OPENVPN_INSTALL_EXE_NAME = 'openvpn-install-2.4.4-I601.exe'
OPENVPN_GUI... |
# Start the x64 build
os.chdir('..')
os.chdir('openssl-oqs-win-x64')
run_command(['perl', 'Configure', 'VC-WIN64A', 'no-asm', 'enable-static-engine'])
run_command(['ms\\do_win64a.bat'])
mycwd = os.getcwd()
# Before running nmake, we have to run vcvarsall... | if platform.system() == 'Windows':
# Create source trees for x86 and x64
# Note that there's no way to clean up one tree and re-use it for a different arch
git_clone(OPENSSL_OQS_REPO, OPENSSL_OQS_BRANCH, 'openssl-oqs-win-x86', OPENSSL_OQS_COMMIT)
shutil.copytree('openssl-oqs-win-x86', 'o... | identifier_body |
utils.py | Indices.csv')
VALIDATION_MASK_FILE_NAME = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_mask.csv')
AUX = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_first.csv')
META_VALIDATION_FILE_NAME = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_se... | (data, use_three_way):
masked_data = np.copy(data)
if use_three_way:
mask_file = VALIDATION_MASK_FILE_NAME
else:
mask_file = VALIDATION_FILE_NAME
mask_indices = get_indices_from_file(mask_file)
for row_index, col_index in mask_indices:
masked_data[row_index][col_index] = 0
... | mask_validation | identifier_name |
utils.py | /validationIndices.csv')
VALIDATION_MASK_FILE_NAME = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_mask.csv')
AUX = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_first.csv')
META_VALIDATION_FILE_NAME = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validatio... | for i in range(reconstruction.shape[0]):
stacked_ratings = []
for neighbor in neighbors[i]:
stacked_ratings.append(reconstruction[neighbor])
stacked_ratings = np | similarities = ones - distances
weights = np.square(np.square(similarities))
smoothed_data = np.zeros(reconstruction.shape)
aggregated_neighbor_ratings = np.zeros(reconstruction.shape)
| random_line_split |
utils.py | Indices.csv')
VALIDATION_MASK_FILE_NAME = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_mask.csv')
AUX = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_first.csv')
META_VALIDATION_FILE_NAME = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_se... |
return indices_to_predict
def write_ratings(predictions, submission_file):
with open(submission_file, 'w') as file:
file.write('Id,Prediction\n')
for i, j, prediction in predictions:
file.write('r%d_c%d,%f\n' % (i, j, prediction))
def reconstruction_to_predictions(
reconst... | key, _ = line.split(",")
row_string, col_string = key.split("_")
i = int(row_string[1:]) - 1
j = int(col_string[1:]) - 1
indices_to_predict.append((i, j)) | conditional_block |
utils.py | Indices.csv')
VALIDATION_MASK_FILE_NAME = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_mask.csv')
AUX = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_first.csv')
META_VALIDATION_FILE_NAME = os.path.join(
ROOT_DIR, 'data/train_valid_80_10_10/validationIndices_se... |
def clip(data):
data[data > 5] = 5
data[data < 1] = 1
return data
def ampute_reconstruction(reconstruction, data):
observed_indices = get_observed_indices(data)
for row_index, col_index in observed_indices:
reconstruction[row_index][col_index] = data[row_index][col_index]
def impute_by_a... | reconstruction_to_predictions(
reconstruction, ROOT_DIR + 'data/meta_training_' + name + '_stacking'
+ datetime.now().strftime('%Y-%b-%d-%H-%M-%S') + '.csv',
indices_to_predict=get_validation_indices(use_three_way=True))
reconstruction_to_predictions(
reconstruction, ROOT_DIR + 'data... | identifier_body |
Q_Learner.py | Q
self.dueling = dueling
self.perMemory = perMemory
self.rendering = watch
pass
print ("POSSIBLE ACTIONS :", self.actions)
if training:
self.updates = 0
self.totalLoss = 0.0
self.countL = 0
self.minibatch = AgentSetting.minibatch
self.replay_memorySize = AgentSetting.replay_memory
self.... | (self,sess,reloadM):
self.env.reset(sess)
if not reloadM:
print ('Initializing my experience memory...')
else:
print('Restoring my experience memory (naive solution!)...')
state = self.state_process.get_state(sess)
done = False
for v in tqdm(range(self.replay_strt_size)):
if not reloadM:
... | fill_memory | identifier_name |
Q_Learner.py | ', dtype=tf.float32)
#4- current state chosen action value
self.actionBatchHolder = tf.placeholder(dtype=tf.uint8)
self.chosenAction = tf.one_hot(indices=self.actionBatchHolder, depth=self.num_action, axis=-1,
dtype=tf.float32, on_value=1.0,
off_value=0.0)
self.curState_qValueSe... | self.summaries(sess)
break #end of episode | random_line_split | |
Q_Learner.py | self.replay_memorySize = AgentSetting.replay_memory
self.t_net_update_freq = AgentSetting.t_net_update_freq
self.discount_factor = AgentSetting.discount_factor
self.update_freq = AgentSetting.update_freq
self.momentum = AgentSetting.momentum
self.e_greedy_init = AgentSetting.e_greedy_init
self.e_... | self.totalLoss =0.0
self.countL = 0
self.totalReward = 0.0
self.countR = 0
self.updates = 0
self.startTime = time.time()
self.env.reset(sess)
state = self.state_process.get_state(sess)
no_op = 0
for _ in itertools.count():
#take action
action = self.behaviour_e_policy(state,sess)
#step a... | identifier_body | |
Q_Learner.py | Q
self.dueling = dueling
self.perMemory = perMemory
self.rendering = watch
pass
print ("POSSIBLE ACTIONS :", self.actions)
if training:
self.updates = 0
self.totalLoss = 0.0
self.countL = 0
self.minibatch = AgentSetting.minibatch
self.replay_memorySize = AgentSetting.replay_memory
self.... |
else:
print('Restoring my experience memory (naive solution!)...')
state = self.state_process.get_state(sess)
done = False
for v in tqdm(range(self.replay_strt_size)):
if not reloadM:
#select an action randomly
action = self.env.takeRandomAction()
else:
action = self.behaviour_e_policy(... | print ('Initializing my experience memory...') | conditional_block |
scripts.js | }
// ===================================================================
// Function to gather all of the search criteria and submit the page
// ===================================================================
function petSearch() {
$('#sidebar .controls button').click(function () {
var search = {};
... | $me = $(this);
if (!$me.hasClass('active')) {
if ($('.faq .question.active').length > 0) {
$('.faq .active').removeClass('active').next().hide();
}
$me.addClass('active').next().slideDown();
... |
$i.on('click', function () { | random_line_split |
scripts.js | }
// ===================================================================
// Function to gather all of the search criteria and submit the page
// ===================================================================
function petSearch() {
$('#sidebar .controls button').click(function () {
var search = {};
... | () {
// mobile menu clicks
$('#burger').on('click', function () {
$('#menu').toggleClass('open');
$('#burger').toggleClass('open');
$('html').toggleClass('scroll-lock');
});
}
function popVideo(id) {
$tar = $('#videobox');
$tar.addClass('on');
$str = '<div class="video-f... | menu | identifier_name |
scripts.js | // ===================================================================
// Function to gather all of the search criteria and submit the page
// ===================================================================
function petSearch() {
$('#sidebar .controls button').click(function () {
var search = {};
... |
// mobile menu
function menu() {
// mobile menu clicks
$('#burger').on('click', function () {
$('#menu').toggleClass('open');
$('#burger').toggleClass('open');
$('html').toggleClass('scroll-lock');
});
}
function popVideo(id) {
$tar = $('#videobox');
$tar.addClass('on');
... | {
var $frame = $('iframe');
var width = $('.video').width();
$frame.attr('width', width);
$frame.attr('height', (width * 3 / 5));
} | identifier_body |
scripts.js | }
// ===================================================================
// Function to gather all of the search criteria and submit the page
// ===================================================================
function petSearch() {
$('#sidebar .controls button').click(function () {
var search = {};
... | else {
url += '&' + key + '=' + value;
}
});
// Use "search" variable to record events if desired
window.location = DOMAIN + '/adoption/' + url;
});
}
// ===================================================================
// Function to initialize Featured Pe... | {
url = '?' + key + '=' + value;
} | conditional_block |
queued.rs | permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT... | (&self) -> Box<dyn PipelineHook> {
Box::new(self.clone())
}
fn get_pipelined_cap(&self, ops: &[PipelineOp]) -> Box<dyn ClientHook> {
self.get_pipelined_cap_move(ops.into())
}
fn get_pipelined_cap_move(&self, ops: Vec<PipelineOp>) -> Box<dyn ClientHook> {
if let Some(p) = &self.i... | add_ref | identifier_name |
queued.rs | permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT... | client_resolution_queue: SenderQueue<(), Box<dyn ClientHook>>,
}
impl ClientInner {
pub fn resolve(state: &Rc<RefCell<Self>>, result: Result<Box<dyn ClientHook>, Error>) {
assert!(state.borrow().redirect.is_none());
let client = match result {
Ok(clienthook) => clienthook,
... | // delivered after calls made earlier), but *before* any queued calls return (because it might
// confuse the application if a queued call returns before the capability on which it was made
// resolves). Luckily, we know that queued calls will involve, at the very least, an
// eventLoop.evalLater. | random_line_split |
framework.rs | Result)")
.expect("couldn't create ImageBitmapRenderingContext (Option)")
.dyn_into::<ImageBitmapRenderingContext>()
.expect("couldn't convert into ImageBitmapRenderingContext");
offscreen_canvas_setup = Some(OffscreenCanvasSetup {
... | fn run_until_stalled(&self) {
while self.executor.try_tick() {}
}
} | random_line_split | |
framework.rs | let level: log::Level = parse_url_query_string(&query_string, "RUST_LOG")
.and_then(|x| x.parse().ok())
.unwrap_or(log::Level::Error);
console_log::init_with_level(level).expect("could not initialize logger");
std::panic::set_hook(Box::new(console_error_panic_hook::hook))... | {
#[cfg(not(target_arch = "wasm32"))]
{
env_logger::init();
};
let event_loop = EventLoop::new();
let mut builder = winit::window::WindowBuilder::new();
builder = builder.with_title(title);
#[cfg(windows_OFF)] // TODO
{
use winit::platform::windows::WindowBuilderExtWindo... | identifier_body | |
framework.rs | could not initialize logger");
std::panic::set_hook(Box::new(console_error_panic_hook::hook));
// On wasm, append the canvas to the document body
web_sys::window()
.and_then(|win| win.document())
.and_then(|doc| doc.body())
.and_then(|body| {
b... |
};
let view = frame.texture.create_view(&w | {
surface.configure(&device, &config);
surface
.get_current_texture()
.expect("Failed to acquire next surface texture!")
} | conditional_block |
framework.rs | = wgpu::Instance::new(wgpu::InstanceDescriptor {
backends,
dx12_shader_compiler,
gles_minor_version,
});
let (size, surface) = unsafe {
let size = window.inner_size();
#[cfg(any(not(target_arch = "wasm32"), target_os = "emscripten"))]
let surface = instance.crea... | run | identifier_name | |
main.rs | });
let server = Server::bind(&addr).serve(make_svc);
// Run this server for... forever!
if let Err(e) = server.await {
eprintln!("server error: {}", e);
}
}
async fn request_handler(req: Request<Body>) -> Result<Response<Body>, Box<dyn std::error::Error + Send + Sync>> {
crate::githu... | cmds.push(format!("--end={}", end));
println!("{:?}", &cmds);
push_job(&reply_to, comment_id, &cmds, &code).await?;
}
None => {}
}
Ok(())
}
async fn push_job(reply_to: &ReplyTo, job_id: &str, bisect_cmds: &[String], repro: &str) -> reqwest::Result<()> {
... | } | random_line_split |
main.rs | });
let server = Server::bind(&addr).serve(make_svc);
// Run this server for... forever!
if let Err(e) = server.await {
eprintln!("server error: {}", e);
}
}
async fn request_handler(req: Request<Body>) -> Result<Response<Body>, Box<dyn std::error::Error + Send + Sync>> {
crate::githu... | else if part.starts_with("end=") {
if end.is_some() {
return Err(format!("end range specified twice"));
}
end = Some(part["end=".len()..].to_string());
} else {
... | {
if start.is_some() {
return Err(format!("start range specified twice"));
}
start = Some(part["start=".len()..].to_string());
} | conditional_block |
main.rs | MIT_HEADER, user_id)
}
}
}
fn from_commit_message(message: &str) -> Result<Self, ()> {
for line in message.lines() {
let line = line.trim();
if !line.starts_with(Self::COMMIT_HEADER) {
continue;
}
let header = line[Self... | TreeEntry | identifier_name | |
probe_bert.py | , "scheduler.pt")))
if args.fp16:
try:
from apex import amp
except ImportError:
raise ImportError("Please install apex from https://www.github.com/nvidia/apex to use fp16 training.")
model, optimizer = amp.initialize(model, optimizer, opt_level=args.fp16_opt_level)
... | (args, model, prefix=""):
# Loop to handle MNLI double evaluation (matched, mis-matched)
eval_task_names = ("mnli", "mnli-mm") if args.task_name == "mnli" else (args.task_name,)
eval_outputs_dirs = (args.output_dir, args.output_dir + "-MM") if args.task_name == "mnli" else (args.output_dir,)
results = ... | evaluate | identifier_name |
probe_bert.py | _path, "scheduler.pt")))
if args.fp16:
try:
from apex import amp
except ImportError:
raise ImportError("Please install apex from https://www.github.com/nvidia/apex to use fp16 training.")
model, optimizer = amp.initialize(model, optimizer, opt_level=args.fp16_opt_lev... | best_val_loss = results["loss"]
output_ckpt_file = os.path.join(output_dir, "best_loss.txt")
with open(output_ckpt_file, "w+") as writer:
for key in sorted(results.keys()):
writer.write("... | train_steps = global_step / len(train_domain_dataloader)
# Save model checkpoint
output_dir = os.path.join(args.output_dir,
"checkpoint".format(train_steps))
if not os.path.exists(output_dir):
... | conditional_block |
probe_bert.py | ")[0])
epochs_trained = global_step // (len(train_domain_dataloader) // args.gradient_accumulation_steps)
steps_trained_in_current_epoch = global_step % (
len(train_domain_dataloader) // args.gradient_accumulation_steps)
logger.info(" Continuing training from checkpoint, will s... | if (
os.path.exists(args.output_dir)
and os.listdir(args.output_dir)
and args.do_train
and not args.overwrite_output_dir
):
raise ValueError(
"Output directory ({}) already exists and is not empty. Use --overwrite_output_dir to overcome.".format(
... | identifier_body | |
probe_bert.py | (eval_task_names, eval_outputs_dirs):
eval_dataset = load_domain_examples(args, eval_task, args.aux_name, mode="dev")
if not os.path.exists(eval_output_dir) and args.local_rank in [-1, 0]:
os.makedirs(eval_output_dir)
args.eval_batch_size = args.per_gpu_eval_batch_size * max(1, arg... | args = parser.parse_args()
config = train_options(args.input)
# Merge the input arguments with the configuration yaml | random_line_split | |
dri.go | os.Stat(i915FramebufferFile); err != nil {
return nil
}
return &I915Backend{}
}
// Round rounds up value for the Intel platforms and all codecs.
func (g I915Backend) Round(value int) int {
const i915Alignment = 16
// Inspired by Chromium's base/bits.h:Align() function.
return (value + i915Alignment - 1) & ^(i9... | readStableObjectCount | identifier_name | |
dri.go | of framebuffers of width
// and height dimensions allocated by the Backend.
ReadFramebufferCount(ctx context.Context, width, height int) (framebuffers int, err error)
}
// I915Backend implements Backend for the Intel i915 case.
type I915Backend struct{}
func i915Backend() *I915Backend |
// Round rounds up value for the Intel platforms and all codecs.
func (g I915Backend) Round(value int) int {
const i915Alignment = 16
// Inspired by Chromium's base/bits.h:Align() function.
return (value + i915Alignment - 1) & ^(i915Alignment - 1)
}
// ReadFramebufferCount tries to open the i915FramebufferFile an... | {
if _, err := os.Stat(i915FramebufferFile); err != nil {
return nil
}
return &I915Backend{}
} | identifier_body |
dri.go | number of framebuffers of width
// and height dimensions allocated by the Backend.
ReadFramebufferCount(ctx context.Context, width, height int) (framebuffers int, err error)
}
// I915Backend implements Backend for the Intel i915 case.
type I915Backend struct{}
| if _, err := os.Stat(i915FramebufferFile); err != nil {
return nil
}
return &I915Backend{}
}
// Round rounds up value for the Intel platforms and all codecs.
func (g I915Backend) Round(value int) int {
const i915Alignment = 16
// Inspired by Chromium's base/bits.h:Align() function.
return (value + i915Alignmen... | func i915Backend() *I915Backend { | random_line_split |
dri.go | of framebuffers of width
// and height dimensions allocated by the Backend.
ReadFramebufferCount(ctx context.Context, width, height int) (framebuffers int, err error)
}
// I915Backend implements Backend for the Intel i915 case.
type I915Backend struct{}
func i915Backend() *I915Backend {
if _, err := os.Stat(i915F... |
text, err := ioutil.ReadAll(f)
if err != nil {
return framebuffers, errors.Wrap(err, "failed to read dri file")
}
lines := strings.Split(string(text), "\n")
for _, line := range lines {
// The line we're looking for looks like "...size=1920x1080"
var fbWidth, fbHeight int
if _, err := fmt.Sscanf(line, " ... | {
return framebuffers, errors.Wrap(err, "failed to open dri file")
} | conditional_block |
context.rs | (pub u64);
#[derive(Copy, Clone, Debug, Hash, PartialEq)]
pub struct PassHandle(pub u64);
#[derive(Copy, Clone, Debug, Hash, PartialEq)]
pub struct ImageHandle(pub u64);
#[derive(Copy, Clone, Debug, Hash, PartialEq)]
pub struct ShaderHandle(pub u64);
pub struct Context {
window: winit::window::Window,
event_lo... | GraphHandle | identifier_name | |
context.rs | .expect("Failed to wait device idle.")
};
// Recreate swapchain
self.facade.destroy(&mut self.image_list);
self.facade = Facade::new(
&self.basis,
&self.gpu,
&self.window, | &mut self.image_list,
&self.debug_utils,
);
// Recreate the images which depend on the resolution of the swapchain
for i in 0..self.image_list.list.len() {
let (_, internal_image) = &mut self.image_list.list[i];
if let ImageKind::RelativeSized { sc... | random_line_split | |
context.rs | || swapchain_height != physical_size.height
{
resize_needed = true;
}
}
_ => {}
},
Event::MainEventsCleared => {
*control_fl... | {
self.image_list.new_image_from_file(
name,
path,
&self.gpu,
self.command_pool,
&self.debug_utils,
)
} | identifier_body | |
context.rs | .expect("Failed to wait device idle.")
};
// Recreate swapchain
self.facade.destroy(&mut self.image_list);
self.facade = Facade::new(
&self.basis,
&self.gpu,
&self.window,
&mut self.image_list,
&self.debug_utils,
);
... |
_ => (),
}
});
// This mechanism is need on Windows:
if resize_needed {
self.recreate_resolution_dependent_state();
}
// This mechanism suffices on Linux:
// Acquiring the swapchain image fails if the window has been resized. If ... | {
*control_flow = ControlFlow::Exit;
} | conditional_block |
ner.rs | no_run
//! use rust_bert::pipelines::common::ModelType;
//! use rust_bert::pipelines::ner::NERModel;
//! use rust_bert::pipelines::token_classification::TokenClassificationConfig;
//! use rust_bert::resources::RemoteResource;
//! use rust_bert::roberta::{
//! RobertaConfigResources, RobertaModelResources, RobertaVo... |
let tokens = self.token_classification_model.predict(input, true, false);
let mut entities: Vec<Vec<Entity>> = Vec::new();
for sequence_tokens in tokens {
entities.push(Self::consolidate_entities(&sequence_tokens));
}
entities
}
| identifier_body | |
ner.rs | :|:----:
//! English| XLM_ROBERTA_NER_EN |
//! German| XLM_ROBERTA_NER_DE |
//! Spanish| XLM_ROBERTA_NER_ES |
//! Dutch| XLM_ROBERTA_NER_NL |
use crate::common::error::RustBertError;
use crate::pipelines::common::TokenizerOption;
use crate::pipelines::token_classification::{
Token, TokenClassificationConfig, Token... |
if let Some((_, previous_tag, previous_label)) = self.previous_node {
if (previous_tag == Tag::End)
| (previous_tag == Tag::Single)
| (previous_label != label)
{
let entity = self.flush_and_r... | conditional_block | |
ner.rs | : Box::new(RemoteResource::from_pretrained(
//! RobertaConfigResources::XLM_ROBERTA_NER_DE,
//! )),
//! vocab_resource: Box::new(RemoteResource::from_pretrained(
//! RobertaVocabResources::XLM_ROBERTA_NER_DE,
//! )),
//! lower_case: false,
//! device: Device::cuda_if_available(),
//!... | andle_current_tag( | identifier_name | |
ner.rs | ```no_run
//! # use rust_bert::pipelines::ner::Entity;
//! # use rust_tokenizers::Offset;
//! # let output =
//! [
//! [
//! Entity {
//! word: String::from("Amy"),
//! score: 0.9986,
//! label: String::from("I-PER"),
//! offset: Offset { begin: 11, end: 14 }... | //! device: Device::cuda_if_available(),
//! ..Default::default()
//! };
//!
//! let ner_model = NERModel::new(ner_config)?;
//!
//! // Define input
//! let input = [
//! "Mein Name ist Amรฉlie. Ich lebe in Paris.",
//! "Paris ist eine Stadt in Frankreich.",
//! ];
//! let output = ner_model.predict(&... | //! lower_case: false, | random_line_split |
membership.go |
} else {
continue
}
}
currentHeartbeat++
logfTrace("%d - hosts=%d (announce=%d forward=%d)",
currentHeartbeat,
len(randomAllNodes),
emitCount(),
pingRequestCount())
PingNode(node)
pingCounter++
time.Sleep(time.Millisecond * time.Duration(GetHeartbeatMillis()))
if ... | {
logDebug("Forgetting dead node", node.Address())
deadNodeRetries.Lock()
delete(deadNodeRetries.m, node.Address())
deadNodeRetries.Unlock()
RemoveNode(node)
continue
} | conditional_block | |
membership.go | }
for {
c, err := net.DialUDP("udp", laddr, address)
if err != nil {
logError(err)
return err
}
// Compose and send the multicast announcement
msgBytes := encodeMulticastAnnounceBytes()
_, err = c.Write(msgBytes)
if err != nil {
logError(err)
return err
}
logfTrace("Sent announcement mu... | {
return transmitVerbGenericUDP(node, nil, verbAck, code)
} | identifier_body | |
membership.go | time.Duration(GetHeartbeatMillis()))
if knownNodesModifiedFlag {
knownNodesModifiedFlag = false
break
}
}
if pingCounter == 0 {
logDebug("No nodes to ping. So lonely. :(")
time.Sleep(time.Millisecond * time.Duration(GetHeartbeatMillis()))
}
}
}
// PingNode can be used to explicitly ping a... | filteredNodes := getTargetNodes(pingRequestCount(), thisHost, pack.node)
if len(filteredNodes) == 0 {
logDebug(thisHost.Address(), "Cannot forward ping request: no more nodes")
updateNodeStatus(pack.node, StatusDead, currentHeartbeat, thisHost)
} else {
for i, n := range filteredNodes {
logfDebug("(%d/%d)... |
return name, msgBytes, nil
}
func doForwardOnTimeout(pack *pendingAck) { | random_line_split |
membership.go | buf[0:n])
}
}
func listenUDPMulticast(port int) error {
addr := GetMulticastAddress()
if addr == "" {
addr = guessMulticastAddress()
}
listenAddress, err := net.ResolveUDPAddr("udp", addr+":"+strconv.FormatInt(int64(port), 10))
if err != nil {
return err
}
/* Now listen at selected port */
iface, err :... | transmitVerbGenericUDP | identifier_name | |
connection.go | c.SendJSON(msg); err != nil {
return err
}
return nil
}
// reason ใฎ้ทใใไธๅๅใใใชๅ ดๅใฏ CloseMessage ใงใฏใชใ TextMessage ใไฝฟ็จใใใใใซๅคๆดใใ
func (c *connection) sendCloseMessage(code int, reason string) error {
deadline := time.Now().Add(writeWait)
closeMessage := websocket.FormatCloseMessage(code, reason)
return c.wsConn.Wri... | c.errLog().Err(err).Caller().Msg("FailedSendRejectMessage")
return err
}
return err | random_line_split | |
connection.go |
}
return nil
}
func (c *connection) sendPingMessage() error {
msg := &pingMessage{
Type: "ping",
}
if err := c.SendJSON(msg); err != nil {
return err
}
return nil
}
// reason ใฎ้ทใใไธๅๅใใใชๅ ดๅใฏ CloseMessage ใงใฏใชใ TextMessage ใไฝฟ็จใใใใใซๅคๆดใใ
func (c *connection) sendCloseMessage(code int, reason string) error {
... | turn err | identifier_name | |
connection.go |
return nil
}
// reason ใฎ้ทใใไธๅๅใใใชๅ ดๅใฏ CloseMessage ใงใฏใชใ TextMessage ใไฝฟ็จใใใใใซๅคๆดใใ
func (c *connection) sendCloseMessage(code int, reason string) error {
deadline := time.Now().Add(writeWait)
closeMessage := websocket.FormatCloseMessage(code, reason)
return c.wsConn.WriteControl(websocket.CloseMessage, closeMessage,... | c (c *connection) sendPingMessage() error {
msg := &pingMessage{
Type: "ping",
}
if err := c.SendJSON(msg); err != nil {
return err
}
| identifier_body | |
connection.go | err := c.SendJSON(msg); err != nil {
return err
}
return nil
}
// reason ใฎ้ทใใไธๅๅใใใชๅ ดๅใฏ CloseMessage ใงใฏใชใ TextMessage ใไฝฟ็จใใใใใซๅคๆดใใ
func (c *connection) sendCloseMessage(code int, reason string) error {
deadline := time.Now().Add(writeWait)
closeMessage := websocket.FormatCloseMessage(code, reason)
return c.wsC... | -MESSAGE")
}
break loop
}
if err := c.wsConn.WriteMessage(websocket.TextMessage, forward.rawMessage); err != nil {
c.errLog().Err(err).Msg("FailedWriteMessage")
// ้ใใชใใฃใใ้ใใใกใใปใผใธใ้ใใชใใฎใง return
return
}
}
}
// ใใกใใฎ้ฝๅใง็ตไบใใใฎใง Websocket ็ตไบใฎใ็ฅใใใ้ใ
if err := c.sendCloseMessage(websocket.C... | r != nil {
c.errLog().Err(err).Msg("FailedSendByeMessage")
// ้ใใชใใฃใใ้ใใใกใใปใผใธใ้ใใชใใฎใง return
return
}
c.debugLog().Msg("SENT-BYE | conditional_block |
images.go | Returns image ID and nil on success.
func (i *ImagesModel) CreateImage(
metaConstructor *images.SoftwareImageMetaConstructor,
imageReader io.Reader) (string, error) {
if metaConstructor == nil {
return "", controller.ErrModelMissingInputMetadata
}
if imageReader == nil {
return "", controller.ErrModelMissingI... | {
return nil, errors.Wrap(err, "Cannot get update files:")
} | conditional_block | |
images.go | governing permissions and
// limitations under the License.
package model
import (
"io"
"io/ioutil"
"time"
"github.com/mendersoftware/deployments/resources/images"
"github.com/mendersoftware/deployments/resources/images/controller"
"github.com/mendersoftware/mender-artifact/metadata"
"github.com/mendersof... |
// DeleteImage removes metadata and image file
// Noop for not exisitng images
// Allowed to remove image only if image is not scheduled or in progress for an updates - then image file is needed
// In case of already finished updates only image file is not needed, metadata is attached directly to device deployment
//... | {
image, err := i.imagesStorage.FindByID(id)
if err != nil {
return nil, errors.Wrap(err, "Searching for image with specified ID")
}
if image == nil {
return nil, nil
}
return image, nil
} | identifier_body |
images.go | return "", controller.ErrModelMissingInputArtifact
}
artifactID, err := i.handleArtifact(metaConstructor, imageReader)
// try to remove artifact file from file storage on error
if err != nil {
if cleanupErr := i.fileStorage.Delete(artifactID); cleanupErr != nil {
return "", errors.Wrap(err, cleanupErr.Error(... | random_line_split | ||
images.go | governing permissions and
// limitations under the License.
package model
import (
"io"
"io/ioutil"
"time"
"github.com/mendersoftware/deployments/resources/images"
"github.com/mendersoftware/deployments/resources/images/controller"
"github.com/mendersoftware/mender-artifact/metadata"
"github.com/mendersof... | (imageID string, expire time.Duration) (*images.Link, error) {
found, err := i.imagesStorage.Exists(imageID)
if err != nil {
return nil, errors.Wrap(err, "Searching for image with specified ID")
}
if !found {
return nil, nil
}
found, err = i.fileStorage.Exists(imageID)
if err != nil {
return nil, errors... | DownloadLink | identifier_name |
file.go | name, link := logName(prefix, t)
fname := filepath.Join(dir, name)
// Open the file os.O_APPEND|os.O_CREATE rather than use os.Create.
// Append is almost always more efficient than O_RDRW on most modern file systems.
f, err = os.OpenFile(fname, os.O_APPEND|os.O_CREATE|os.O_WRONLY, 0664)
if err == nil {
symlink... | {
match = true
} | conditional_block | |
file.go | dir = absDir
}
l.Lock()
defer l.Unlock()
l.name = dir
return nil
}
// Type implements the flag.Value interface.
func (l *DirName) Type() string {
return "string"
}
// String implements the flag.Value interface.
func (l *DirName) String() string {
l.Lock()
defer l.Unlock()
return l.name
}
func (l *DirName) ... |
func (l *loggingT) listLogFiles() ([]FileInfo, error) {
var results []FileInfo
dir, err := logging.logDir.get()
if err != nil {
// No log directory configured: simply indicate that there are no
// log files.
return nil, nil
}
infos, err := ioutil.ReadDir(dir)
if err != nil {
return results, err
}
// T... | {
return logging.listLogFiles()
} | identifier_body |
file.go | dir = absDir
}
l.Lock()
defer l.Unlock()
l.name = dir
return nil
}
// Type implements the flag.Value interface.
func (l *DirName) Type() string {
return "string"
}
// String implements the flag.Value interface.
func (l *DirName) String() string {
l.Lock()
defer l.Unlock()
return l.name
}
func (l *DirName)... | (prefix string, t time.Time) (name, link string) {
// Replace the ':'s in the time format with '_'s to allow for log files in
// Windows.
tFormatted := strings.Replace(t.Format(time.RFC3339), ":", "_", -1)
name = fmt.Sprintf("%s.%s.%s.%s.%06d.log",
removePeriods(prefix),
removePeriods(host),
removePeriods(us... | logName | identifier_name |
file.go |
// LogFileMaxSize is the maximum size of a log file in bytes.
var LogFileMaxSize int64 = 10 << 20 // 10MiB
// LogFilesCombinedMaxSize is the maximum total size in bytes for log
// files. Note that this is only checked when log files are created,
// so the total size of log files per severity might temporarily be up
/... | "github.com/cockroachdb/cockroach/pkg/util/syncutil"
"github.com/cockroachdb/cockroach/pkg/util/timeutil"
) | random_line_split | |
guidestar.py | )
return target
def set_geometry(self,healpix=True):
from astropy_healpix import HEALPix
from astropy.coordinates import SkyCoord
import astropy.coordinates as cc
from numpy import unique
if self.lifu:
self.g_dx = 3.75
self.g_dy = 4.0... | to_xml | identifier_name | |
guidestar.py | '%(self.cache_dir)
os.system(cmd)
if not os.path.isfile(self.xml_template):
self.wget(self.xml_template_url)
def get_guide(self,annular_fail=True,as_xml=True,print_xml=False):
"""
Master function to return a guide star once the object is ins... |
else:
t0 = tabs[0]
for t in tabs[1:]:
for g in t:
t0.add_row(g)
self.guides = t0
return
def select_target(self,annular=False):
import numpy
from operator import indexOf
fro... | self.guides = tabs[0] | conditional_block |
guidestar.py | = self.dec + ((0.5*self.g_dy)/60.0)
self.dec_min = self.dec - ((0.5*self.g_dy)/60.0)
self.ra_gc0 = self.ra + (27.7/60.0)
self.dec_gc0 = self.dec
else:
self.ra_min = self.ra - 1.0
self.ra_max = self.ra + 1.0
self.dec_min = self.dec - 1.0
... | self.new_xml()
xml_target = self.targets_base[0].cloneNode(True)
guide_ra = guide['GAIA_RA']
guide_dec = guide['GAIA_DEC']
dx = (self.ra - guide_ra)*self.plate_scale
dy = (self.dec - guide_dec)*self.plate_scale
xml_target.setAttribute('targx',str(dx))
xml_target.... | identifier_body | |
guidestar.py | s'%(self.cache_dir)
os.system(cmd)
if not os.path.isfile(self.xml_template):
self.wget(self.xml_template_url)
def get_guide(self,annular_fail=True,as_xml=True,print_xml=False):
"""
Master function to return a guide star once the object is in... | if rnd_dist > r_min:
if rnd_dist < r_max:
self.healpix_indices.append(hp.skycoord_to_healpix(SkyCoord(rnd_ra,rnd_dec,unit='deg')))
in_annulus.append([rnd_ra,rnd_dec])
#print len(in_annulus)
print '....done'
self.healpix_... | rnd_ra = self.ra+(2*(random.random()-0.5)*radius)
rnd_dec = self.dec+(2*(random.random()-0.5)*radius)
rnd_dist = (((rnd_ra-self.ra)**2)+((rnd_dec-self.dec)**2))**0.5 | random_line_split |
detours.rs | ::once;
use std::ffi::OsStr;
use std::os::windows::ffi::OsStrExt;
// Copied from winapi-rs since we are having issues with macro-use
macro_rules! DEF_STRUCT {
{$(#[$attrs:meta])* nodebug struct $name:ident { $($field:ident: $ftype:ty,)+ }} => {
#[repr(C)] $(#[$attrs])*
pub struct $name {
... | {
module: HMODULE,
}
impl Module {
#[allow(dead_code)]
pub fn target(moduleName: &str) -> Option<Module> {
let mut library = Module { module: 0 as HMODULE };
let wModuleName: Vec<u16> = OsStr::new(moduleName)
.encode_wide()
.chain(once(0))
.collect();
... | Module | identifier_name |
detours.rs | ::once;
use std::ffi::OsStr;
use std::os::windows::ffi::OsStrExt;
// Copied from winapi-rs since we are having issues with macro-use
macro_rules! DEF_STRUCT {
{$(#[$attrs:meta])* nodebug struct $name:ident { $($field:ident: $ftype:ty,)+ }} => {
#[repr(C)] $(#[$attrs])*
pub struct $name {
... | // TODO: Think about adding support for IMAGE_FILE_MACHINE_AMD64 later
return None;
}
let import_desc_array: PIMAGE_IMPORT_DESCRIPTOR = unsafe {
mem::transmute::<PBYTE, PIMAGE_IMPORT_DESCRIPTOR>(
base_addr.offset((*nt_hdr).OptionalHeader.DataDirectory... | {
let base_addr: PBYTE = unsafe { mem::transmute::<HMODULE, PBYTE>(self.module) };
let dos_hdr: PIMAGE_DOS_HEADER =
unsafe { mem::transmute::<HMODULE, PIMAGE_DOS_HEADER>(self.module) };
if unsafe { (*dos_hdr).e_magic } != IMAGE_DOS_SIGNATURE {
return None;
}
... | identifier_body |
detours.rs | ::once;
use std::ffi::OsStr;
use std::os::windows::ffi::OsStrExt;
// Copied from winapi-rs since we are having issues with macro-use
macro_rules! DEF_STRUCT {
{$(#[$attrs:meta])* nodebug struct $name:ident { $($field:ident: $ftype:ty,)+ }} => {
#[repr(C)] $(#[$attrs])*
pub struct $name {
... |
if (orig_thunk.u1 & IMAGE_ORDINAL_FLAG) != 0 {
continue;
}
let import: PIMAGE_IMPORT_BY_NAME =
unsafe {
mem::transmute::<PBYTE,
PIMAGE_I... | {
break;
} | conditional_block |
detours.rs | windows::ffi::OsStrExt;
// Copied from winapi-rs since we are having issues with macro-use
macro_rules! DEF_STRUCT {
{$(#[$attrs:meta])* nodebug struct $name:ident { $($field:ident: $ftype:ty,)+ }} => {
#[repr(C)] $(#[$attrs])*
pub struct $name {
$(pub $field: $ftype,)+
}
... |
#[test]
fn test_intercept() {
let target = Module::self_target();
| random_line_split | |
amap.go | "`
Pname string `json:"pname"`
Poiweight []interface{} `json:"poiweight"`
Postcode []interface{} `json:"postcode"`
Recommend string `json:"recommend"`
Shopid []interface{} `json:"shopid"`
Shopinfo string `json:"shopinfo"`
Tag []interface{} `json:"tag"`
Tel string ... |
pois = result.Pois
return
}
func minRecPagesPois(minRecPages []minRecPage) (pois []Poi) {
for _, minRecPage := range minRecPages {
pagePois, err := minRecPagePois(minRecPage)
if err == nil {
pois = append(pois, pagePois...)
} else {
fmt.Println(minRecPages, err)
}
}
return
}
func minRecPages(mRec ... | {
return
} | conditional_block |
amap.go | "`
Pname string `json:"pname"`
Poiweight []interface{} `json:"poiweight"`
Postcode []interface{} `json:"postcode"`
Recommend string `json:"recommend"`
Shopid []interface{} `json:"shopid"`
Shopinfo string `json:"shopinfo"`
Tag []interface{} `json:"tag"`
Tel string ... |
func recRequest(para map[string]string) (result PoiResult, err error) {
para["key"] = key
resp, err := resty.
SetTimeout(10 * time.Second).
SetRetryCount(5).
SetRetryWaitTime(10 * time.Second).
SetRetryMaxWaitTime(65 * time.Second).
R().
SetQueryParams(para).
Get(gaoDePolygonURL)
if err != nil {
re... | {
pages := recTypePages(rec, types)
pois = minRecPagesPois(pages)
return
} | identifier_body |
amap.go | /detail/get/detail"
var key = "aaa8abdaf05433e3702eae99964cc8c6"
// var key = "935c7385f239000f98ade53bbbc002e7"
func cutRec(rec Rectangle, types string) (recCutresult []minRec) {
count, err := recCount(rec, types)
if err != nil {
fmt.Println(rec, types, count, err)
recCutresult = append(recCutresult, minRec{r... | random_line_split |
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