def get_global_conf(self):
conf_result={}
if os.isfile('../conf/global/master'):
pass
if os.isfile('../conf/global/slave'):
pass
conf_result['master']="coffee"
conf_result['slave']="test01"
return conf_result
def test_rename(builddir, runner):
# prepare needed files
with local.cwd(builddir):
sh.touch('originalfile')
builder = BuildFile(build_dir=builddir, runner=runner)
###### First build ##########
builder.main(command_line=['-D', 'build'])
expected_json = {
".deps_version": 2,
"mv originalfile testfile": {
"originalfile": "input-d41d8cd98f00b204e9800998ecf8427e",
"testfile": "output-d41d8cd98f00b204e9800998ecf8427e"
}
}
# assertions
with local.cwd(builddir):
assert_json_equality('.deps', expected_json)
assert os.path.isfile('testfile')
sys.exit.assert_called_once_with(0)
# update original file to check the rebuild
(sh.echo["newline"] > "originalfile")()
###### Second build ##########
builder.main(command_line=['-D', 'build'])
expected_json = {
".deps_version": 2,
"mv originalfile testfile": {
"originalfile": "input-321060ae067e2a25091be3372719e053",
"testfile": "output-321060ae067e2a25091be3372719e053"
}
}
with local.cwd(builddir):
assert_json_equality('.deps', expected_json)
assert "newline" in sh.cat('testfile')
###### Cleaning ##########
builder.main(command_line=['-D', 'clean'])
with local.cwd(builddir):
assert not os.isfile('testfile')
assert os.isfile('originalfile')
def parse_NCBI_nodes_tab_file(folder):
"""this is a function to open nodes.dmp from the NCBI taxonomy
database and find the parent child relationship....returns a
dictionary for later use.
"""
# open file - read.
# nodes.dmp - this file is separated by \t|\t
# empty dictionary to add to parent and child (keys,vals) to
tax_dictionary = {}
# nodes.dmp files goes: child, parent, etc
# merged.dmp file goes: old, new
# In both cases, can take key as column 0 and value as column 1
for filename in ["nodes.dmp", "merged.dmp"]:
if not os.isfile(filename):
print("Could not find %s. Please check this." % filename)
os._exit(0)
with open(os.path.join(folder, filename)) as handle:
for line in handle:
tax_info = line.replace("\n", "\t").split("\t|\t")
# first element
parent = tax_info[1]
# second element
child = tax_info[0]
# add these to the dictionary {parent:child}
tax_dictionary[child] = parent
# print(tax_dictionary)
return tax_dictionary
def add_folder(self, path):
"""
添加path路径中所有的账号，返回一个字典
规则：如果出现文件夹，则单独记录到一个类别中，一层文件夹下的所有账号密码都记录在
同一个类别
"""
def search_sub_folder(dic,path):
files = os.listdir(path)
for file in files:
if os.isfile(file):
f = open(path.os.sep+file, r)
content = f.read()
time = time.strftime('%Y/%m/%d %H:%M',time.localtime(time.time()))
dic[file] = [content, time]
else:
search_folder(dic,path+os.sep+file)
data = {}
#1.扫描到path中所有文件/文件夹的名称，添加到列表
files = os.listdir(path)
#2.逐个读取文件，文件夹，按照规则添加到数据文件中
for file in files:
if os.isfile(file):
f = open(path+os.sep+file,r)
content = f.read()
time = time.strftime('%Y/%m/%d %H:%M',time.localtime(time.time()))
data[file] = [content, time]
else:
#假如是文件夹
data[file] = {}
search_sub_folder(data[file],path+os.sep+fil)
return data
def test_xla_profiler_prog_capture(tmpdir):
port = xu.get_free_tcp_ports()[0]
training_started = Event()
def train_worker():
model = BoringModel()
trainer = Trainer(default_root_dir=tmpdir,
max_epochs=4,
profiler="xla",
accelerator="tpu",
devices=8)
trainer.fit(model)
p = Process(target=train_worker, daemon=True)
p.start()
training_started.wait(120)
logdir = str(tmpdir)
xp.trace(f"localhost:{port}",
logdir,
duration_ms=2000,
num_tracing_attempts=5,
delay_ms=1000)
p.terminate()
assert os.isfile(
os.path.join(logdir, "plugins", "profile", "*", "*.xplane.pb"))
def load(path):
if not os.path.exists(path):
print('Load path doesnt exist!')
else:
files = [f for f in os.listdir(path) if os.isfile(os.path.join(path, f))].sort()
return files
def register_model(self, model_name):
if not self.trained:
if os.isfile(self.this_job_path + '/torchmodel.pth'):
self.trained = True
# add model information to database(file db or web db)
if self.trained:
# create model folder
model_root_path = self.workspace_path + '/model'
model_path = model_root_path + '/' + model_name
createDirectory(model_root_path)
createDirectory(model_path)
if self.net_name is not "":
# copy network file to model path
# $WORKSPACE/nets{net_name} -> $WORKSPACE/model/{model_name}/torchmodel.py
org_net_path = self.workspace_path + '/net/' + self.net_name + '.py'
net_path = model_path + '/torchmodel.py'
shutil.copy(org_net_path, net_path)
else:
self.extract_network()
org_net_path = self.this_job_path + '/net.py'
net_path = model_path + '/torchmodel.py'
shutil.copy(org_net_path, net_path)
# copy model file ti model path
# $JOB_PATH/torchmodel.pth -> $WORKSPACE/model/{model_name}/torchmodel.pth
org_modelfile_path = self.this_job_path + '/torchmodel.pth'
modelfile_path = model_path + '/torchmodel.pth'
shutil.copy(org_modelfile_path, modelfile_path)
def write_ls(ls,file):
if os.isfile(file):
os.remove( file )
fp = open( file,'w' )
for l in ls:
fp.write( l )
fp.close()
def select_diverse_ligands(self, target):
"""
:return:
"""
# download ligands
# convert to fps
# cluster on ligands
# update data to only include selected members
tmp = tempfile.mkdtemp()
ligands = self.data['ligands']
for ligand in ligands:
self._write(ligand, tmp)
files = [
os.path.join(tmp, f) for f in os.listdir(tmp)
if os.isfile(os.path.join(tmp, f))
]
ligands = {
os.path.basename(f).split(".")[0]: x
for f in files for x in Chem.ForwardSDMolSupplier(f)
if x is not None
}
for n, l in ligands.items():
l.SetProp("_Name", n)
cluster_dict = self._cluster_ligands(ligands=ligands, t=target)
reps = [l[0] for l in cluster_dict.values() if len(l) != 0]
print reps
def download_equity_M1(self, tasks, startYr=2012, endYr=2015):
"""
"""
try:
# map equity tickers to security IDs.
if self._mapTickersToSecIDs:
maps = self._mapTickersToSecIDs
else:
assert os.isfile("./names/secID.json")
jsonFile = open(dName, "r")
allSecIds = json.loads(jsonFile.read())
jsonFile.close()
allTickers = [s.split(".")[0] for s in allSecIds]
maps = dict(zip(allTickers, allSecIds))
self._mapTickersToSecIDs = maps
tasks_ = [maps[task] for task in tasks]
db = self._dbs["EQU_M1"]["self"]
self._api.get_equity_M1_interMonth(db, id=1, startYr=startYr, endYr=endYr, tasks=tasks_)
except AssertionError:
msg = "[MONGOD]: Cannot map tickers to secIDs; " + "secID.json does not exist."
raise VNPAST_DatabaseError(msg)
except Exception, e:
msg = "[MONGOD]: Unable to download data; " + str(e)
raise VNPAST_DatabaseError(msg)
def save(self, mode, *path):
path = os.path.join(path)
if os.isfile(path):
with open(path, mode) as f:
return pickle.Unpickler(f).load()
else:
return False
def download_equity_M1(self, tasks, startYr=2012, endYr=2015):
"""
"""
try:
# map equity tickers to security IDs.
if self._mapTickersToSecIDs:
maps = self._mapTickersToSecIDs
else:
assert os.isfile('./names/secID.json')
jsonFile = open(dName, 'r')
allSecIds = json.loads(jsonFile.read())
jsonFile.close()
allTickers = [s.split('.')[0] for s in allSecIds]
maps = dict(zip(allTickers, allSecIds))
self._mapTickersToSecIDs = maps
tasks_ = [maps[task] for task in tasks]
db = self._dbs['EQU_M1']['self']
self._api.get_equity_M1_interMonth(db,
id=1,
startYr=startYr,
endYr=endYr,
tasks=tasks_)
except AssertionError:
msg = '[MONGOD]: Cannot map tickers to secIDs; ' + \
'secID.json does not exist.'
raise VNPAST_DatabaseError(msg)
except Exception as e:
msg = '[MONGOD]: Unable to download data; ' + str(e)
raise VNPAST_DatabaseError(msg)
def prune(path, **options):
config = get_configuration(options)
# TODO: exclude `latest.ext`!
files = [f for f in os.listdir(path) if os.isfile(f)]
matches = [f for f in files if f.endswith(extension)]
if '--max-snapshots' in options:
if int(options['--max-snapshots']) < len(matches):
too_much = len(matches) - int(options['--max-snapshots'])
for i in range(too_much):
os.remove(files[i])
if '--max-size' in options:
size = [os.path.getsize(f) for f in matches]
if sum(size) > int(options['--max-size']):
too_much = int(options['--max-size']) - sum(size)
will_remove = []
while sum(will_remove) < too_much:
will_remove.append(size.pop(0))
to_remove = matches[:len(will_remove)]
for f in too_old:
os.remove(f)
if '--max-days' in options:
is_too_old = functools.partial(is_old, days=int(options['--max-days']))
too_old = [f for f in files if is_too_old(to_date(f))]
# is it safer to os.join this with the cwd?
for f in too_old:
os.remove(f)
if options['--save-configuration']:
del options['--save-configuration']
dump_args(config, open('.versioned', 'w'))
def info_file(self):
#crear carpeta
path = mother_path + '/' + self.name
print 'guardando en ' + path
if (not os.path.isdir(path)):
#si no existe el path, lo crea
print "Anime no descargado aun, creando carpeta\n" + path
os.mkdir(path)
else:
print "Al parecer ya habias descargado este anime"
os.system('pause')
name_path = path + '/info.md'
#Escribir archivo en path
if os.isfile(name_path):
print 'archivo info.md ya esta creado'
return None
with open(name_path, 'wb') as f:
f.write(self.name.encode('utf-8') + '\n')
f.write(self.state.encode('utf-8') + '\n')
f.write(self.sinopsis.encode('utf-8') + '\n')
f.write('Episodios:\n')
caps = len(self.capitulos)
i = caps - 1
while i > 2:
f.write(self.capitulos[i].encode('utf-8') + '\n')
i -= 1
f.close()
return None
def disable_internet():
if os.isfile(internet_tag_file):
os.remove(internet_tag_file)
total_subnet = ",".join([net_config["HqCidr"],net_config["VpcCidr"]])
cmd = internet_cmd % ('-D', total_subnet)
return exeute_shell(cmd)
def parse_NCBI_nodes_tab_file(folder):
"""this is a function to open nodes.dmp from the NCBI taxonomy
database and find the parent child relationship....returns a
dictionary for later use.
"""
# open file - read.
# nodes.dmp - this file is separated by \t|\t
# empty dictionary to add to parent and child (keys,vals) to
tax_dictionary = {}
# nodes.dmp files goes: child, parent, etc
# merged.dmp file goes: old, new
# In both cases, can take key as column 0 and value as column 1
for filename in ["nodes.dmp", "merged.dmp"]:
if not os.isfile(filename):
print("Could not find %s. Please check this." % filename)
os._exit(0)
with open(os.path.join(folder, filename)) as handle:
for line in handle:
tax_info = line.replace("\n", "\t").split("\t|\t")
# first element
parent = tax_info[1]
# second element
child = tax_info[0]
# add these to the dictionary {parent:child}
tax_dictionary[child] = parent
# print(tax_dictionary)
return tax_dictionary
def get_target_annotations(pset, annot_dir):
"""
Annotate a the 'TARGET' in the 'drug' slot of a PSet object using mapping from the UniProt idenitifer
mapping tool API.
:param pset:
:param annot_dir:
:return:
"""
# Read in drug target annotations and gene annotations
drug_targets = pd.read_csv(
os.path.join(annot_dir, 'drugbank_drug_targets_all.csv'))
rnaseq_df = pset.get("molecularProfiles").get(
"Kallisto_0.46.1.rnaseq").get("elementMetadata")
# Map genes to drugbank drug ids
genes_to_drugs = pd.merge(
drug_targets.loc[:, ['Name', 'Gene Name', 'Drug IDs']],
rnaseq_df.loc[:, ['gene_name', 'gene_id']],
left_on='Gene Name',
right_on='gene_name')
# Annotate the genes
# Expand list columns into rows and annotate drugs
genes_to_drugs['Drug IDs'] = [
str.split(ids, '; ') for ids in genes_to_drugs['Drug IDs'].values
]
genes_to_drugs = genes_to_drugs.explode('Drug IDs')
# Write to disk if necessary.
file_path = os.path.join(annot_dir, 'drugbank_drug_to_gene_mappings.csv')
if not os.isfile(file_path):
pd.write_csv(genes_to_drugs, file_path)
pass
def save_additional_directories(self, dirs):
for d in dirs:
echo ">>> Saving " + d + "..."
if os.isfile(d) or os.isdir(d):
os.chdir("/")
archive_path = self.backup_dir + d.replace("/", "_") + ".tar.bz2"
bz2( tar(d, "c"), "-9", _out=archive_path )
def save(self, mode, *path): path = os.path.join(path) if os.isfile(path): with open(path, mode) as f: return pickle.Unpickler(f).load() else: return False
def run(site):
#Create tracking file for which videos have been analyzed
trackFile = path+"processed.txt"
print("TrackFile: ", trackFile)
if not os.path.isfile(trackFile):
f = open(trackFile,'a+')
f.close()
# Go through every video in S3 bucket
# "untrunc" the video
# Reupload new video to S3
for s3_file in s3.Bucket(VIDEO_BUCKET_NAME).objects.filter(Prefix='videos/'+site):
substring = s3_file.key.split("/")
filename = substring[-1]
if filename.endswith(".mp4"):
#Skip video fixing if already done
if s3_file.key in open(doneFile).read():
print("\n\nAlready read:"+ s3_file.key)
continue
else:
print("\n\nAnalyzing "+ s3_file.key +" video...")
#Split key name
vidName = filename.split('.')[0]
time = substring[-2]
date = substring[-3]
facility = substring[-4]
print("Video name: " + vidName)
print("Facility: " + facility)
#Download video from S3
print("Downloading video from S3...")
videoFullPath = vidPath+filename
s3.Bucket(VIDEO_BUCKET_NAME).download_file(s3_file.key, videoFullPath)
print("Finished downloading video")
#Create new directory for fixed video
newVidPath = vidPath+facility+'/'+date+'/'+time+'/'
if not os.path.exists(newVidPath):
os.makedirs(newVidPath)
#Fix Video
untruncVideo(filename, newVidPath)
#Sync video to S3
if os.isfile(newVidPath+filename):
source = newVidPath+videoName
destination = 's3://'+str(VIDEO_BUCKET_NAME)+'/*/full_videos_fixed/'+facility+'/'+date+'/'+time+'/'
uploadToS3("sync", source, destination)
#Remove video
print("Done analyzing, removing current video file...")
os.remove(videoFullPath)
#Add video to doneFile
f = open(trackFile,'a')
f.write(str(s3_file.key)+'\n')
f.close()
print("Moving onto next video...\n")
def run(self):
iter = mcl_input_iterator(self.inf)
for mcl_input_block in iter:
out_block = mcl_input_block.readline()
mclinf = open(self.mclinput_fname, 'w')
mclinf.write(mcl_input_block.read())
mclinf.close()
parameter = self.parameter.split()
wl = ['mcl', self.mclinput_fname, '-o',self.mcloutput_fname] + parameter
try:
os.spawnvp(os.P_WAIT, 'mcl', wl)
except:
sys.stderr.write('MCL running error.\n')
os.remove(self.mclinput_fname)
if os.isfile(self.mcloutput_fname):
os.remove(self.mcloutput_fname)
sys.exit(1)
out_block += '(parameter %s )\n'%self.parameter
mcloutf = open(self.mcloutput_fname, 'r')
out_block += mcloutf.read()
mcloutf.close()
self.outf.write(out_block)
os.remove(self.mclinput_fname)
os.remove(self.mcloutput_fname)
def rinex_renamer(input_rinex_path,output_directory,stat_out_name='',remove=False):
if stat_out_name == '':
stat_out_name = os.path.basename(input_rinex_path)[0:4]
stat_out_name = stat_out_name.lower()
inp_rinex_obj=open(input_rinex_path,'r+')
out_dir = output_directory # nom redondant mais j'ai la flemme d'aller corriger le nom de la variable
if not os.path.exists(out_dir):
os.makedirs(out_dir)
os.chdir(out_dir)
first_epoch , last_epoch = rinex_start_end(input_rinex_path)
rnx_interval_ext = rinex_session_id(first_epoch,last_epoch) + '.'
rinex_out_name = stat_out_name + first_epoch.strftime('%j') + rnx_interval_ext + first_epoch.strftime('%y') + 'o'
print(rinex_out_name)
output_rinex_path = os.path.join(out_dir,rinex_out_name)
if input_rinex_path != output_rinex_path:
print("INFO : copy of ", input_rinex_path , ' to ' , output_rinex_path)
shutil.copy(input_rinex_path,output_rinex_path)
if remove and os.isfile(output_rinex_path) :
print("INFO : removing " , input_rinex_path)
os.remove(input_rinex_path)
else:
print("INFO : " , input_rinex_path)
print("and", output_rinex_path ,"are the same file")
print("nothing's done ...")
return output_rinex_path
def enable_internet():
# create a file to indicate the state of internet connection
if not os.isfile(internet_tag_file):
open(internet_tag_file, "a").close()
total_subnet = ",".join([net_config["HqCidr"],net_config["VpcCidr"]])
cmd = internet_cmd % ('-A', total_subnet)
return exeute_shell(cmd)
def build_model_from_dirents(self, dirent):
for subdir in os.listdir(dirent):
if os.path.isdir(subdir):
self.build_feature(subdir)
for filename in os.listdir(subdir):
if os.isfile(filename) and re.match(".*.sql$", filename):
self.build_scenario(filename)
return Model(self.features)
def calcula_tamanho_pasta(pasta):
tamanhoTotal = 0
ficheiros = os.listdir(pasta)
for ficheiro in ficheiros:
if os.isfile(join(pasta, ficheiro)):
tamanhoTotal += os.path.getsize(join(pasta, ficheiro)) / 1024
return tamanhoTotal
def find_in_path(basename):
path_ary = os.getenv(PATH).split(':')
for p in path_ary:
path = "%s/%s" % (p, basename)
if os.access(path, os.X_OK) and os.isfile(path):
return path
return False
def find_in_path(basename):
path_ary = os.getenv(PATH).split(':')
for p in path_ary:
path = "%s/%s" % (p, basename)
if os.access(path, os.X_OK) and os.isfile(path):
return path
return False
def build_model_from_dirents(self, dirent):
for subdir in os.listdir(dirent):
if os.path.isdir(subdir):
self.build_feature(subdir)
for filename in os.listdir(subdir):
if os.isfile(filename) and re.match(".*.sql$", filename):
self.build_scenario(filename)
return Model(self.features)
def countFiles(path,num=0):
for content in listdir(path):
if isfile(content):
num+=1
for content in listdir(path):
if isdir(content):
num+=countFiles(join(path,content))
return num
def setValue(self, value):
"""
Sets value and filename for this object.
"""
if os.isfile(value): # allow to overwrite files only with existing files
self.varValue = value
self.filename = os.path.basename(value)
else:
raise IncorrectValue, value+" in PathToFile.setValue()"
def convert_to_npy(args):
if not isinstance(args, tuple):
key = "data"
npz_file = args
else:
npz_file, key = args
if not os.isfile(npz_file[:-3] + "npy"):
a = np.load(npz_file)[key]
np.save(npz_file[:-3] + "npy", a)
def precondition_check(): """f() -> None Disallow running the program if the C version generated files are not there. """ for filename in [WITH_PASS_EPAK, NO_PASS_EPAK]: if not os.isfile(filename): print "Missing %r" % filename sys.exit(1)
def dirSize(path,size=0):
from os import listdir,isfile,isdir,stat
for content in listdir(path):
if isfile(content):
size+=stat(join(path,content)).st_size
for content in listdir(path):
if isdir(content):
size+=dirSize(join(path,content))
return size
def __init__(self, partName, unixEpochTime, configurationRef, partStatus):
self.partName = partName
self.unixEpochTime = unixEpochTime
self.fileName = self.partName = MARK_DOWN_EXTENSION
self.configurationRef = configurationRef
self.partStatus = partStatus
if (os.isfile(filename)):
f = open('r',self.fileName)
line = f.readline()
def stream(data, song_name):
song = ("%s.mp3", song_name)
if os.isfile(song):
mixer.music.load(song)
mixer.music.play()
else:
with open(song, 'wb') as file:
file.write(data)
mixer.music.load(song)
mixer.music.play()
def default_options(action):
"""Enable or Disable All Available options"""
for k in option_dict:
file = os.path.join(config_dir, k)
if action == 'enable':
with open(file, 'w') as f:
f.close
else:
if os.isfile(file):
os.remove(file)
def main():
if sys.argv[1] == "-c":
print "List of missing files/dirs:"
backup_list = open("/home/tj/.backup-list")
for line in backup_list:
path = os.path.join("/home/tj", line)
if os.isdir(path) or os.isfile(path):
print line
print "End of List"
sys.exit(0)
def from_dir(self, dir):
list = SourceList()
for ele in os.listdir(dir):
if ele.startswith('.'):
continue
if os.isfile(ele):
file = ele
else:
file = ele+'/'+ele
def __init__(self, directory=""):
self.directory = directory
if len(self.directory) > 0:
self.ls = [
f for f in listdir(self.directory)
if isfile(join(self.directory, f)) and f.endswith(".csv")
]
print(
"Note : It's better to make use of pandas.\n\n\tpd.read_csv(\"actors.csv\").to_dict(orient=\"row\")\n"
)
def search_sub_folder(dic,path):
files = os.listdir(path)
for file in files:
if os.isfile(file):
f = open(path.os.sep+file, r)
content = f.read()
time = time.strftime('%Y/%m/%d %H:%M',time.localtime(time.time()))
dic[file] = [content, time]
else:
search_folder(dic,path+os.sep+file)
def get_bucket_owner(self, bucket):
""" returns the bucket owner """
path = os.path.join(self.id_to_filename(bucket), '_owner')
if not os.isfile(path):
return "nobody"
f = open("r", path)
owner = f.read()
f.close()
owner = owner.rstrip("\n")
return owner
def scan(self, payload, **kwargs):
"""
Scan a payload using TRiD
:param bytes payload: Payload to be scanned
:param **kwargs kwargs: Additional parameters (unused)
:returns: Results from scan
:rtype: dict or None
"""
results = []
path = self.stoq.write(path=self.stoq.temp_dir,
payload=payload,
binary=True)
if not os.path.isfile(self.bin):
self.stoq.log.error("TrID does not exist at {}!".format(self.bin))
return None
# Build our command and then execute it
cmd = [self.bin, "-d:{}".format(self.defs), path]
trid_results = check_output(cmd).splitlines()
# If there are results, iterate over them and build our blob
if len(trid_results) > 0:
if trid_results[7].startswith("Warning".encode()):
start_pos = 10
else:
start_pos = 7
for line in trid_results[start_pos:]:
line = line.decode().split()
if len(line) > 1:
r = {}
r['likely'] = line[0]
r['extension'] = line[1]
r['type'] = ' '.join(line[2:])
results.append(r)
# Time to cleanup if we wrote a temp file to disk
try:
if os.isfile(path):
os.remove(path)
except:
pass
super().scan()
if results:
return results
else:
return None
def _check_cram_fasta_input(urls_dict, ref_fasta):
"""
Ensure reference FASTA file is provided if
"""
ftypes = [vals['ftype'] for vals in urls_dict.values()]
if 'cram' in ftypes:
if not os.isfile(ref_fasta):
err = 'INPUT ERROR: input .tsv contains one or more CRAM files ' + \
'but --ref-fasta not specified'
exit(err)
def scan(self, payload, **kwargs):
"""
Scan a payload using XORSearch
:param bytes payload: Payload to be scanned
:param **kwargs kwargs: Additional parameters (unused)
:returns: Results from scan
:rtype: dict or None
"""
results = []
path = self.stoq.write(path=self.stoq.temp_dir,
payload=payload,
binary=True)
if not os.path.isfile(self.bin):
self.log.error("XORSearch does not exist at {}!".format(self.bin))
return None
# Build our command and then execute it
cmd = [self.bin, '-f', self.terms, path]
process_results = check_output(cmd).splitlines()
# If there are results, iterate over them and build our blob
if len(process_results) > 0:
for line in process_results:
line = line.decode()
result = line.split()
hit = line.split(': ')
r = {}
# We are going to skip over hits that are not xor'd
if result[2] != '00':
r['key'] = result[2]
r['pos'] = result[4].replace(':', '')
r['str'] = hit[1]
results.append(r)
# Time to cleanup if we wrote a temp file to disk
try:
if os.isfile(path):
os.remove(path)
except:
pass
super().scan()
# Return our results
if results:
return results
else:
return None
def scan(self, payload, **kwargs):
"""
Scan a payload using XORSearch
:param bytes payload: Payload to be scanned
:param **kwargs kwargs: Additional parameters (unused)
:returns: Results from scan
:rtype: dict or None
"""
results = []
path = self.stoq.write(path=self.stoq.temp_dir,
payload=payload,
binary=True)
if not os.path.isfile(self.bin):
self.stoq.log.error("XORSearch does not exist at {}!".format(self.bin))
return None
# Build our command and then execute it
cmd = [self.bin, '-f', self.terms, path]
process_results = check_output(cmd).splitlines()
# If there are results, iterate over them and build our blob
if len(process_results) > 0:
for line in process_results:
line = line.decode()
result = line.split()
hit = line.split(': ')
r = {}
# We are going to skip over hits that are not xor'd
if result[2] != '00':
r['key'] = result[2]
r['pos'] = result[4].replace(':', '')
r['str'] = hit[1]
results.append(r)
# Time to cleanup if we wrote a temp file to disk
try:
if os.isfile(path):
os.remove(path)
except:
pass
super().scan()
# Return our results
if results:
return results
else:
return None
def enqueue(params, email, qdir=QUEUEDIR):
"""
This is a function to enqueue messages
"""
# Make the directory to queue messages if doesn't exist
if not os.path.exists(qdir):
os.makedirs(qdir)
# Construct the base of the file
timestamp = time.strftime("%Y-%m-%d-%H.%M.%S", time.gmtime())
base = qdir + "/" + timestamp
i=0
while (os.isfile(base + ".mail") or os.isfile(base + ".msmtp")):
i += 1
base = qdir + "/" + timestamp + "-" + i
with os.open(base + ".mail", os.O_WRONLY, int("0600", 8)) as fem, os.open(base + ".msmtp", os.O_WRONLY, int("0600", 8)) as fms:
# Print strings into files
print(params, fms)
print(message, fem)
def runqueue(qdir=QUEUEDIR, maxwait=120, lockfile=LOCKFILE):
# Wait for a lock that another instance has set
wait = 0
for i in range(maxwait):
if os.isfile(lockfile):
time.sleep(1)
else:
break
if os.isfile(lockfile):
print("Cannot use the queuedir, because another instance is already using it")
print("Remove the lockfile if that's not the case")
# Check for empty queuedir
if len(os.listdir(qdir)) == 0:
print("No mails in the queuedir")
# Lock the directory
touch(lockfile)
# Process all mails
for mailfile in glob.glob(qdir + "/*.mail"):
msmtpfile = os.path.splitext(mailfile)[0] + ".msmtp"
print("Sending")
with os.open(msmtpfile) as f:
msmtp_opts = f.read()
if 0 != Call(["msmtp", msmtp_opts, "<", mailfile]):
os.remove(msmtpfile)
os.remove(mailfile)
print("Sent")
else:
print("msmtp could not process the message")
# Unlock the directory
os.rm(lockfile)
return 0
def __init__(self, m_init, Ms, d_mxHxm=0.1, name=None):
if isinstance(m_init, str):
if os.isfile(m_init):
self.m_init = m_init
else:
raise JoommfError("Magnetisation file not found")
else:
self.m_init = m_init
# Want to throw a warning here if neither
self.Ms = Ms
self.d_mxHxm = d_mxHxm
self.name = name
def __init__(self, m_init, Ms, d_mxHxm=0.1, name=None):
if isinstance(m_init, str):
if os.isfile(m_init):
self.m_init = m_init
else:
raise JoommfError("Magnetisation file not found")
else:
self.m_init = m_init
# Want to throw a warning here if neither
self.Ms = Ms
self.d_mxHxm = d_mxHxm
self.name = name
def expandpath(path):
"""Expand (fully qualify) an arbitrary path to an existing file or directory.
If path does not map to an existing file the pathname is returned
unchanged.
"""
if os.isdir(path):
return expand_dir_path(path)
elif os.isfile(path):
return expand_file_path(path)
else:
return path
def expandpath(path):
"""Expand (fully qualify) an arbitrary path to an existing file or directory.
If path does not map to an existing file the pathname is returned
unchanged.
"""
if os.isdir(path):
return expand_dir_path(path)
elif os.isfile(path):
return expand_file_path(path)
else:
return path
def register_model(self, model_name):
if not self.trained:
if os.isfile(self.this_job_path + '/' + self.torchmodel_filename):
self.trained = True
else:
print("Error: No model trained.")
return
# add model information to database(file db or web db)
if self.trained:
# create model folder
model_root_path = self.workspace_path + '/model'
model_path = model_root_path + '/' + model_name
createDirectory(model_root_path)
createDirectory(model_path)
if self.net_name is not "":
# copy network file to model path
# $WORKSPACE/nets{net_name} -> $WORKSPACE/model/{model_name}/torchmodel.py
org_net_path = self.workspace_path + '/net/' + self.net_name + '.py'
net_path = model_path + '/' + self.torchnet_filename
shutil.copy(org_net_path, net_path)
else:
org_net_path = self.this_job_path + '/' + self.network_filename
net_path = model_path + '/' + self.torchnet_filename
shutil.copy(org_net_path, net_path)
# copy model file to model path
# $JOB_PATH/torchmodel.pth -> $WORKSPACE/model/{model_name}/torchmodel.pth
org_modelfile_path = self.this_job_path + '/' + self.torchmodel_filename
modelfile_path = model_path + '/' + self.torchmodel_filename
shutil.copy(org_modelfile_path, modelfile_path)
# copy service.json to model path
org_service_file_path = self.this_job_path + '/service.json'
service_file_path = model_path + '/service.json'
if os.path.exists(org_service_file_path):
shutil.copy(org_service_file_path, service_file_path)
# copy result graph to model path
if self.problem_type == "classification":
org_graph_file_path = self.this_job_path + '/confusionMatrix.png'
graph_file_path = model_path + '/confusionMatrix.png'
if self.problem_type == "regression":
org_graph_file_path = self.this_job_path + '/regressionAccuracy.png'
graph_file_path = model_path + '/regressionAccuracy.png'
if os.path.exists(org_graph_file_path):
shutil.copy(org_graph_file_path, graph_file_path)
# copy score to model path
org_score_path = self.this_job_path + '/score'
with open(org_score_path, "r") as score_file:
score = score_file.readline()
pos = score.find(':')
score = score[pos + 2:]
score_path = model_path + '/score'
if os.path.exists(org_score_path):
shutil.copy(org_score_path, score_path)
self.create_model_metadata(model_name, model_path, score)
def cp(src, dst, symlink = False, ignores = []):
'''
to copy file or directories.
@src, string, source file or directory.
@dst, string, destination file or directory
@symlink, bool, whether ignore symlinks
@ignores, list, ignore patterns, used as parameter for ignore_patterns.
'''
if os.isfile(src):
shutil.copy(src, dst)
else:
shutil.copytree(src, dst, symlink, shutil.ignore_patterns(ignores))
def integrity_check():
ITERATION = 0
FAILEDLOAD = 0
for x in self.EXISTS_TABLE:#range(len(self.EXISTS_TABLE)):
if x:#EXISTS_TABLE
if not os.isfile(str(self.LOADED_PATHS[ITERATION])+str(self.FILE_TABLE[ITERATION])):##does the not file exist with the specified path when it should
print('Attempting repair... '+str(self.FILE_TABLE[ITERATION]))
##REPAIR
##END REPAIR
else:
print('found .. '+str(self.FILE_TABLE[ITERATION]))
ITERATION +=1
print('Load check complete: LOADED|'+(len(self.EXISTS_TABLE)- FAILEDLOAD)+' Failed|'+str(FAILEDLOAD))
def add_new_command(command, tags):
"""adds a new command, also creates a new tag or adds it
to the specified tag"""
command_filename = COMMANDS_DIR+command.split()[0]
print(command_filename)
if os.isfile(command_filename):
print("Filename exists")
else:
f = open(command_filename, 'w')
if(tags is None):
print(command+"-> No tag specified")
else:
print(command+"-> tags: "+" ".join(tags))
def compresscallfile(self):
try:
self.logger.info("Call dir %s" %self.calldir)
maildir=os.path.join(self.responder.directory,self.responder.maildir)
zipfile=os.path.join(maildir,self.callid+".zip")
os.system("zip -r %s %s" %(zipfile, self.calldir))
if os.isfile("%s" %(zipfile)):
self.logger.info("Successfully zipped call file")
else:
self.logger.info("Could not compress call file")
except:
self.logger.error("Could not compress call file")
def update_media(self, base_path=getattr(settings, "MEDIA_ROOT", "")):
"""
settings.MEDIA_ROOTに指定されたパス配下をすべてS3にバックアップする。
保存パス：
/{{project_name}}/media/{{dir_name}}/{{fn}}
"""
for fn in os.listdir(base_path):
path = os.path.join(base_path, fn)
if ( os.isdir(path) ):
self.update_media(path)
if not ( os.isfile(path) ):
# シンボリックリンク等
continue
# ToDo: S3にセーブ
return