Search is not available for this dataset
id int64 0 10.8M | vector listlengths 1.54k 1.54k | ast_depth int64 3 164 | ast_data stringlengths 297 510k | full_path stringlengths 0 319 | code stringlengths 60 56.5k |
|---|---|---|---|---|---|
15,001 | [
-0.011734160594642162,
-0.06635426729917526,
0.0363919734954834,
0.022396709769964218,
0.019578367471694946,
0.016920767724514008,
0.032105520367622375,
0.049551378935575485,
0.02760474756360054,
-0.023832669481635094,
-0.01956765167415142,
-0.012527154758572578,
-0.015484806150197983,
-0.... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "provider", "annotation": null, "type_comment": null}}], "kwarg": ... | def update_provider(self, provider):
self._provider = provider
self._hmac = hmac.new(self._provider.secret_key.encode('utf-8'),
digestmod=sha)
if sha256:
self._hmac_256 = hmac.new(self._provider.secret_key.encode('utf-8'),
... | |
15,002 | [
-0.01115038525313139,
0.009352747350931168,
0.006461441051214933,
-0.05440684035420418,
0.002930590184405446,
-0.006461441051214933,
-0.012866312637925148,
-0.01903233677148819,
-0.00892533641308546,
0.018768347799777985,
0.02765597216784954,
0.004082398489117622,
0.005672617349773645,
0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def test_plinalg():
#np.random.seed(10)
V = np.random.rand(4, 100)
V_path = os.path.join(my_path,'plinalg_A.txt')
np.savetxt(V_path, V)
v = np.random.rand(100)
v_path = os.path.join(my_path, 'plinalg_b.txt')
np.savetxt(v_path, v)
Q, R = np.linalg.qr(V.T)
S = np.diag(np.sign(np.diag(... | |
15,003 | [
-0.02790568396449089,
-0.014899314381182194,
0.029289772734045982,
-0.029269417747855186,
0.03240397199988365,
-0.039772212505340576,
-0.0026028002612292767,
0.022165782749652863,
-0.009149237535893917,
0.005938353948295116,
-0.025890611112117767,
-0.014237801544368267,
-0.027763202786445618... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def add_auth(self, http_request, **kwargs):
headers = http_request.headers
if 'Date' not in headers:
headers['Date'] = formatdate(usegmt=True)
if self._provider.security_token:
key = self._provider.security_token_header
headers[key] = self._provider.security_t... | |
15,004 | [
0.0029077029321342707,
-0.001988722011446953,
0.021310919895768166,
-0.030707860365509987,
0.027771316468715668,
-0.038636527955532074,
-0.007629770785570145,
0.01895119622349739,
0.0010487657273188233,
0.015553195960819721,
-0.04383840784430504,
-0.02092287689447403,
-0.04388035833835602,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def add_auth(self, http_request, **kwargs):
headers = http_request.headers
method = http_request.method
auth_path = http_request.auth_path
if 'Date' not in headers:
headers['Date'] = formatdate(usegmt=True)
if self._provider.security_token:
key = self._pr... | |
15,005 | [
-0.009768662974238396,
-0.027555769309401512,
0.027616823092103004,
-0.014154385775327682,
0.04802925884723663,
-0.03435312956571579,
-0.008807060308754444,
0.03146323561668396,
0.007229828275740147,
-0.004507830832153559,
-0.009478655643761158,
-0.022488275542855263,
-0.04383687302470207,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def add_auth(self, http_request, **kwargs):
headers = http_request.headers
if 'Date' not in headers:
headers['Date'] = formatdate(usegmt=True)
if self._provider.security_token:
key = self._provider.security_token_header
headers[key] = self._provider.security_... | |
15,006 | [
0.04579233378171921,
0.006773028988391161,
-0.026567623019218445,
0.024207400158047676,
0.015997057780623436,
0.013727613724768162,
-0.004049696493893862,
0.034031569957733154,
0.010822725482285023,
-0.026406239718198776,
-0.007342911325395107,
0.007700979243963957,
-0.031469620764255524,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "key", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def _sign(self, key, msg, hex=False):
if not isinstance(key, bytes):
key = key.encode('utf-8')
if hex:
sig = hmac.new(key, msg.encode('utf-8'), sha256).hexdigest()
else:
sig = hmac.new(key, msg.encode('utf-8'), sha256).digest()
return sig | |
15,007 | [
0.014493712224066257,
-0.04171149432659149,
-0.04451252520084381,
-0.015427390113472939,
0.009695044718682766,
-0.04338342696428299,
-0.01891239546239376,
0.027163496240973473,
0.017370741814374924,
0.026902936398983,
-0.03469805791974068,
-0.05054885894060135,
-0.06088444963097572,
-0.009... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def canonical_query_string(self, http_request):
# POST requests pass parameters in through the
# http_request.body field.
if http_request.method == 'POST':
return ""
l = []
for param in sorted(http_request.params):
value = boto.utils.get_utf8_value(http_re... | |
15,008 | [
0.0023822076618671417,
-0.03264007344841957,
-0.04540860280394554,
-0.04301978647708893,
-0.02159445360302925,
-0.023571038618683815,
-0.02116108499467373,
0.027439648285508156,
0.011542409658432007,
0.017968952655792236,
-0.03447924926877022,
-0.0914091244339943,
-0.01643630675971508,
-0.... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def query_string(self, http_request):
parameter_names = sorted(http_request.params.keys())
pairs = []
for pname in parameter_names:
pval = boto.utils.get_utf8_value(http_request.params[pname])
pairs.append(urllib.parse.quote(pname, safe='') + '=' +
... | |
15,009 | [
0.0034004354383796453,
-0.02155865542590618,
-0.03990954905748367,
0.01612212508916855,
0.039201345294713974,
-0.026766059920191765,
0.044825341552495956,
0.016611620783805847,
0.05069929361343384,
0.051990728825330734,
0.008326640352606773,
-0.020652567967772484,
-0.026974357664585114,
-0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def canonical_uri(self, http_request):
path = http_request.auth_path
# Normalize the path
# in windows normpath('/') will be '\\' so we chane it back to '/'
normalized = posixpath.normpath(path).replace('\\', '/')
# Then urlencode whatever's left.
encoded = urllib.parse.q... | |
15,010 | [
0.030636008828878403,
-0.04191005975008011,
0.007694744039326906,
-0.01284669991582632,
0.038315434008836746,
-0.025918062776327133,
-0.012448430992662907,
0.04574977234005928,
0.010855359025299549,
-0.0333932489156723,
0.0007135636988095939,
-0.01312242355197668,
-0.04534129053354263,
-0.... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def payload(self, http_request):
body = http_request.body
# If the body is a file like object, we can use
# boto.utils.compute_hash, which will avoid reading
# the entire body into memory.
if hasattr(body, 'seek') and hasattr(body, 'read'):
return boto.utils.compute_h... | |
15,011 | [
-0.0045138997957110405,
-0.05481046810746193,
0.08426672965288162,
0.019168389961123466,
-0.03447473794221878,
-0.015164520591497421,
-0.05655602738261223,
-0.024939635768532753,
-0.014935416169464588,
0.025616038590669632,
-0.01803377829492092,
0.03550025075674057,
-0.019201120361685753,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "host", "annotation": null, "type_comment": null}}], "kwarg": null... | def determine_region_name(self, host):
parts = self.split_host_parts(host)
if self.region_name is not None:
region_name = self.region_name
elif len(parts) > 1:
if parts[1] == 'us-gov':
region_name = 'us-gov-west-1'
else:
if len(... | |
15,012 | [
0.0422944575548172,
-0.02555241994559765,
0.021864084526896477,
-0.03901079669594765,
0.01868448406457901,
-0.025806786492466927,
-0.017782634124159813,
-0.04192446544766426,
0.01159108616411686,
0.04888489842414856,
-0.014776467345654964,
-0.012417782098054886,
-0.038987673819065094,
-0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def canonical_request(self, http_request):
cr = [http_request.method.upper()]
cr.append(self.canonical_uri(http_request))
cr.append(self.canonical_query_string(http_request))
headers_to_sign = self.headers_to_sign(http_request)
cr.append(self.canonical_headers(headers_to_sign) + ... | |
15,013 | [
0.04347079619765282,
-0.04882477596402168,
0.04635709896683693,
-0.01615007221698761,
0.031440865248441696,
-0.001476200413890183,
-0.03159509599208832,
0.03155102953314781,
0.030383288860321045,
0.024037830531597137,
0.03657451644539833,
-0.04794346168637276,
-0.005615620408207178,
0.0021... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def credential_scope(self, http_request):
scope = []
http_request.timestamp = http_request.headers['X-Amz-Date'][0:8]
scope.append(http_request.timestamp)
# The service_name and region_name either come from:
# * The service_name/region_name attrs or (if these values are None)
... | |
15,014 | [
0.02354716695845127,
-0.05385304614901543,
0.06256137788295746,
-0.024283694103360176,
0.035288259387016296,
-0.007202790584415197,
-0.013030010275542736,
0.015120444819331169,
0.014882156625390053,
-0.00405360059812665,
0.004744093399494886,
-0.04744093492627144,
-0.03149731457233429,
-0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}, {"_typ... | def signature(self, http_request, string_to_sign):
key = self._provider.secret_key
k_date = self._sign(('AWS4' + key).encode('utf-8'),
http_request.timestamp)
k_region = self._sign(k_date, http_request.region_name)
k_service = self._sign(k_region, http_request... | |
15,015 | [
0.04812609776854515,
-0.013232492841780186,
-0.020099850371479988,
-0.01627858728170395,
0.019018979743123055,
-0.02718556672334671,
0.011693068780004978,
0.0020266349893063307,
0.020460141822695732,
0.032928381115198135,
0.00935117993503809,
-0.001871054875664413,
-0.03513379767537117,
-0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def canonical_uri(self, http_request):
# S3 does **NOT** do path normalization that SigV4 typically does.
# Urlencode the path, **NOT** ``auth_path`` (because vhosting).
path = urllib.parse.urlparse(http_request.path)
# Because some quoting may have already been applied, let's back it ou... | |
15,016 | [
0.0068959882482886314,
-0.044386040419340134,
-0.03779945522546768,
-0.030709436163306236,
-0.0014316386077553034,
-0.039897095412015915,
-0.02143787033855915,
0.017452357336878777,
0.0045597427524626255,
0.02144835889339447,
-0.04188985005021095,
-0.06498485803604126,
-0.051853638142347336,... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def canonical_query_string(self, http_request):
# Note that we just do not return an empty string for
# POST request. Query strings in url are included in canonical
# query string.
l = []
for param in sorted(http_request.params):
value = boto.utils.get_utf8_value(http... | |
15,017 | [
0.03892682120203972,
0.007220297586172819,
0.0026270647067576647,
0.013603459112346172,
0.04987567663192749,
-0.004078283905982971,
-0.01825176551938057,
0.03923523798584938,
0.023968523368239403,
0.019121946766972542,
0.01770101860165596,
-0.005766324233263731,
-0.02874900959432125,
0.032... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "req", "annotation": null, "type_comment": null}}], "kwarg": {"_ty... | def add_auth(self, req, **kwargs):
if 'x-amz-content-sha256' not in req.headers:
if '_sha256' in req.headers:
req.headers['x-amz-content-sha256'] = req.headers.pop('_sha256')
else:
req.headers['x-amz-content-sha256'] = self.payload(req)
updated_req... | |
15,018 | [
0.022851642221212387,
-0.07066181302070618,
0.055056944489479065,
-0.012838130816817284,
-0.004601584281772375,
0.007385687902569771,
-0.03421958163380623,
-0.017167672514915466,
-0.015801668167114258,
0.04579589515924454,
-0.008375462144613266,
-0.00002064291766146198,
-0.01387999951839447,... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "host", "annotation": null, "type_comment": null}}], "kwarg": null... | def determine_region_name(self, host):
# S3's different format(s) of representing region/service from the
# rest of AWS makes this hurt too.
#
# Possible domain formats:
# - s3.amazonaws.com (Classic)
# - s3-us-west-2.amazonaws.com (Specific region)
# - bukkit.s3.... | |
15,019 | [
0.012429490685462952,
-0.005275368690490723,
0.002408147556707263,
-0.002116250805556774,
0.024943897500634193,
-0.04419846087694168,
-0.013087584637105465,
0.037553831934928894,
-0.012344575487077236,
0.009483988396823406,
-0.03608904406428337,
-0.04141748324036598,
-0.037511374801397324,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def add_auth(self, http_request, **kwargs):
headers = http_request.headers
qs = self._build_query_string(
http_request.params
)
boto.log.debug('query_string in body: %s' % qs)
headers['Content-Type'] = 'application/x-www-form-urlencoded'
# This will be a POST... | |
15,020 | [
0.011581272818148136,
-0.009807204827666283,
-0.02565421350300312,
-0.048079222440719604,
-0.03823215141892433,
-0.016873575747013092,
-0.04401282221078873,
0.044371623545885086,
0.004106268752366304,
-0.004744135774672031,
-0.058245230466127396,
-0.05429842695593834,
-0.020431676879525185,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "params", "annotation": null, "type_comment": null}}], "kwarg": nu... | def _build_query_string(self, params):
keys = list(params.keys())
keys.sort(key=lambda x: x.lower())
pairs = []
for key in keys:
val = boto.utils.get_utf8_value(params[key])
pairs.append(key + '=' + self._escape_value(val.decode('utf-8')))
return '&'.join(... | |
15,021 | [
0.021580560132861137,
-0.010203980840742588,
0.024186335504055023,
-0.02473117969930172,
-0.017257342115044594,
-0.016522986814379692,
-0.013301299884915352,
0.004181085620075464,
0.014639721252024174,
-0.024565357714891434,
-0.022385980933904648,
-0.017328407615423203,
-0.037002015858888626... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "params", "annotation": null, "type_comment": null}}], "kwarg": nu... | def _calc_signature(self, params, *args):
boto.log.debug('using _calc_signature_0')
hmac = self._get_hmac()
s = params['Action'] + params['Timestamp']
hmac.update(s.encode('utf-8'))
keys = params.keys()
keys.sort(cmp=lambda x, y: cmp(x.lower(), y.lower()))
pairs =... | |
15,022 | [
-0.006668500602245331,
-0.03893595188856125,
0.00623741652816534,
-0.018627095967531204,
0.0077009741216897964,
-0.0330391488969326,
-0.02079848386347294,
0.03631751611828804,
0.0025425986386835575,
0.026141799986362457,
-0.03137867525219917,
-0.040468696504831314,
-0.007567923050373793,
-... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "http_request", "annotation": null, "type_comment": null}}], "kwar... | def add_auth(self, http_request, **kwargs):
headers = http_request.headers
params = http_request.params
params['AWSAccessKeyId'] = self._provider.access_key
params['SignatureVersion'] = self.SignatureVersion
params['Timestamp'] = boto.utils.get_ts()
qs, signature = self._... | |
15,023 | [
0.03162148967385292,
-0.01458180882036686,
0.041547518223524094,
-0.027060244232416153,
-0.020041124895215034,
-0.027107510715723038,
-0.02661120891571045,
0.00581677071750164,
0.007403162773698568,
-0.01582256145775318,
-0.028430981561541557,
-0.00826578214764595,
-0.04109848290681839,
-0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "params", "annotation": null, "type_comment": null}}], "kwarg": nu... | def _calc_signature(self, params, *args):
boto.log.debug('using _calc_signature_1')
hmac = self._get_hmac()
keys = params.keys()
keys.sort(cmp=lambda x, y: cmp(x.lower(), y.lower()))
pairs = []
for key in keys:
hmac.update(key.encode('utf-8'))
val ... | |
15,024 | [
0.03558306396007538,
-0.0039009409956634045,
0.03671746328473091,
-0.04037531837821007,
-0.035073742270469666,
0.004167177248746157,
-0.010649452917277813,
0.008745284751057625,
0.02463264763355255,
0.02304680459201336,
-0.011089321225881577,
-0.005877456162124872,
-0.03380043804645538,
-0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "params", "annotation": null, "type_comment": null}}, {"_type": "a... | def _calc_signature(self, params, verb, path, server_name):
boto.log.debug('using _calc_signature_2')
string_to_sign = '%s\n%s\n%s\n' % (verb, server_name.lower(), path)
hmac = self._get_hmac()
params['SignatureMethod'] = self.algorithm()
if self._provider.security_token:
... | |
15,025 | [
0.0311450008302927,
0.007524840999394655,
0.012958411127328873,
0.012858826667070389,
-0.03283793479204178,
0.009292462840676308,
-0.0339333601295948,
0.028754975646734238,
0.04214907065033913,
0.0051970575004816055,
0.004453286994248629,
0.015970837324857712,
0.018149245530366898,
0.01959... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "func", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def detect_potential_sigv4(func):
def _wrapper(self):
if os.environ.get('EC2_USE_SIGV4', False):
return ['hmac-v4']
if boto.config.get('ec2', 'use-sigv4', False):
return ['hmac-v4']
if hasattr(self, 'region'):
# If you're making changes here, you should ... | |
15,026 | [
0.02206047810614109,
-0.0291281845420599,
0.006809399928897619,
-0.0029457935597747564,
0.004083441570401192,
-0.026050489395856857,
-0.029853640124201775,
0.0383392833173275,
0.007749196141958237,
0.018839890137314796,
-0.02719363197684288,
-0.024731475859880447,
0.007413947023451328,
-0.... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "req", "annotation": null, "type_comment": null}}], "kwarg": {"_ty... | def add_auth(self, req, **kwargs):
req.params['AWSAccessKeyId'] = self._provider.access_key
req.params['SignatureVersion'] = self.SignatureVersion
req.params['Timestamp'] = boto.utils.get_ts()
qs, signature = self._calc_signature(req.params, req.method,
... | |
15,027 | [
0.03472915291786194,
-0.001794579322449863,
0.05071558803319931,
0.010473871603608131,
0.007495888974517584,
0.010989177040755749,
-0.0334109328687191,
0.04652124643325806,
0.03679037466645241,
0.022793253883719444,
-0.02099567838013172,
-0.0006916919955983758,
0.012834686785936356,
-0.000... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def _wrapper(self):
if os.environ.get('EC2_USE_SIGV4', False):
return ['hmac-v4']
if boto.config.get('ec2', 'use-sigv4', False):
return ['hmac-v4']
if hasattr(self, 'region'):
# If you're making changes here, you should also check
# ``boto/iam/co... | |
15,028 | [
0.035457536578178406,
0.00455837557092309,
0.005861219018697739,
-0.01403159461915493,
-0.0122713353484869,
-0.004552066326141357,
-0.01949533447623253,
0.030637329444289207,
0.036366056650877,
-0.0068265218287706375,
0.0016530025750398636,
0.019949596375226974,
0.01608838327229023,
0.0051... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "func", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def detect_potential_s3sigv4(func):
def _wrapper(self):
if os.environ.get('S3_USE_SIGV4', False):
return ['hmac-v4-s3']
if boto.config.get('s3', 'use-sigv4', False):
return ['hmac-v4-s3']
if hasattr(self, 'host'):
# If you're making changes here, you sho... | |
15,029 | [
0.001954335719347,
0.040404755622148514,
0.015952832996845245,
-0.059493616223335266,
0.007039017044007778,
0.022065812721848488,
-0.0056528025306761265,
-0.05376695469021797,
-0.027519773691892624,
0.04322263225913048,
-0.02044098824262619,
-0.009322863072156906,
0.013487189076840878,
-0.... | 15 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "base", "annotation": n... | class Type(Node):
def __init__(self, base=None, const=False, unsigned=False, reference=None, arraylength=-1):
if base == "char":
self.base_type = "int"
self.length = 8
elif base == "short":
self.base_type = "int"
self.length = 16
elif base == "... | |
15,030 | [
0.03604404255747795,
0.0038460881914943457,
0.030768705531954765,
-0.02912476472556591,
0.02775072306394577,
-0.007489750627428293,
-0.034007515758275986,
0.023726744577288628,
0.024475106969475746,
0.01147692371159792,
-0.02404571883380413,
0.013360096141695976,
0.011219291016459465,
-0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def _wrapper(self):
if os.environ.get('S3_USE_SIGV4', False):
return ['hmac-v4-s3']
if boto.config.get('s3', 'use-sigv4', False):
return ['hmac-v4-s3']
if hasattr(self, 'host'):
# If you're making changes here, you should also check
# ``boto/iam/... | |
15,031 | [
0.02055910974740982,
0.02883777767419815,
0.07068131864070892,
-0.0229851845651865,
-0.0181705504655838,
-0.008403723128139973,
0.004076806362718344,
-0.017720350995659828,
-0.025036092847585678,
0.010204521007835865,
0.004233125597238541,
-0.04224371537566185,
0.009310374967753887,
0.0117... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "orm", "annotation": nu... | class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'ExternalAuthMap'
db.create_table('external_auth_externalauthmap', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('external_id', self.gf('django.db.models.fields.CharField')... | |
15,032 | [
0.041272420436143875,
0.011393530294299126,
0.04394903406500816,
-0.0030679486226290464,
-0.02235689014196396,
0.021723585203289986,
-0.011507047340273857,
-0.04514395073056221,
-0.023456213995814323,
0.051859382539987564,
-0.02738749049603939,
-0.0061896685510873795,
0.02256002649664879,
... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "base", "annotation": null, "type_comment": null}}, {"_type": "arg... | def __init__(self, base=None, const=False, unsigned=False, reference=None, arraylength=-1):
if base == "char":
self.base_type = "int"
self.length = 8
elif base == "short":
self.base_type = "int"
self.length = 16
elif base == "int" or base == "long"... | |
15,033 | [
0.018744908273220062,
0.017697833478450775,
0.07297653704881668,
0.005682086106389761,
-0.016764571890234947,
-0.005667859222739935,
0.022364143282175064,
0.00527805183082819,
-0.008968420326709747,
-0.002375834621489048,
0.0038070259615778923,
-0.01871076412498951,
0.04431856423616409,
-0... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "orm", "annotation": null, "type_comment": null}}], "kwarg": null,... | def forwards(self, orm):
# Adding model 'ExternalAuthMap'
db.create_table('external_auth_externalauthmap', (
('id', self.gf('django.db.models.fields.AutoField')(primary_key=True)),
('external_id', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)),
... | |
15,034 | [
-0.025810685008764267,
-0.031777799129486084,
0.045350052416324615,
-0.0018471722723916173,
0.00827205553650856,
-0.018930956721305847,
0.02653609961271286,
0.006230367347598076,
0.011308263055980206,
0.028057128190994263,
-0.012917042709887028,
-0.04228459671139717,
0.009366026148200035,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"... | def forecast_grid():
forecast_data = np.arange(9, dtype=np.float32).reshape(3, 3) / 8.0
forecast_data_stack = np.stack([forecast_data, forecast_data])
forecast_1 = set_up_probability_cube(forecast_data_stack, _thresholds)
forecast_2 = set_up_probability_cube(
forecast_data_stack,
_thresh... | |
15,035 | [
-0.0392051637172699,
-0.02344345487654209,
0.0272329431027174,
0.022942470386624336,
0.006278349552303553,
-0.02456103265285492,
0.003551843808963895,
0.013732083141803741,
-0.012286938726902008,
0.04123478755354881,
0.017778487876057625,
-0.010565611533820629,
-0.0015880531864240766,
0.00... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"a... | def truth_grid():
truth_data = np.linspace(281, 285, 9, dtype=np.float32).reshape(3, 3)
# Threshold the truths, giving fields of zeroes and ones.
truth_data_a = (truth_data > _thresholds[0]).astype(int)
truth_data_b = (truth_data > _thresholds[1]).astype(int)
truth_data_stack = np.stack([truth_data_... | |
15,036 | [
0.0019531911239027977,
0.024876905605196953,
0.018879003822803497,
-0.01236098911613226,
-0.004622921347618103,
-0.02000775933265686,
0.0029878844507038593,
-0.011752345599234104,
-0.0066840085200965405,
-0.014098388142883778,
-0.017871975898742676,
-0.0272672139108181,
0.05356059595942497,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "request", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "forecast_grid", "annotation": null, "type_comment": null}}, {"... | def create_rel_table_inputs(
request,
forecast_grid,
forecast_spot,
truth_grid,
truth_spot,
expected_table_shape_grid,
expected_table_shape_spot,
):
if request.param == "grid":
return RelTableInputs(
forecast=forecast_grid,
truth=truth_grid,
ex... | |
15,037 | [
0.012302146293222904,
-0.014960276894271374,
0.05685146525502205,
0.037635765969753265,
-0.015599193051457405,
-0.011162946932017803,
-0.0005413456237874925,
-0.07416246831417084,
-0.015490697696805,
0.006389159709215164,
0.014357526786625385,
-0.03512832149863243,
0.02656926028430462,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "forecast_grid", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "truth_grid", "annotation": null, "type_comment": null}},... | def reliability_table_agg(forecast_grid, truth_grid, reliability_data):
reliability_cube_format = CalPlugin().process(forecast_grid, truth_grid)
reliability_cube_format = reliability_cube_format.collapsed(
[
reliability_cube_format.coord(axis="x"),
reliability_cube_format.coord(a... | |
15,038 | [
-0.00530369533225894,
0.013006751425564289,
0.05048580840229988,
0.0023862251546233892,
-0.05917254462838173,
-0.027040965855121613,
-0.040794964879751205,
-0.01919488236308098,
-0.027344534173607826,
-0.0478704497218132,
-0.0017177901463583112,
-0.023339763283729553,
0.04348037764430046,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "request", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "reliability_table_point_spot", "annotation": null, "type_comme... | def create_rel_tables_point(
request, reliability_table_point_spot, reliability_table_point_grid,
):
if request.param == "point_spot":
return RelTables(
table=reliability_table_point_spot,
indices0=(0, slice(0, None), slice(0, None), 0),
indices1=(0, slice(0, None), s... | |
15,039 | [
0.02368917688727379,
-0.011301844380795956,
-0.03241564705967903,
-0.03601265698671341,
0.006321370601654053,
0.02852066233754158,
0.023306064307689667,
-0.02398715354502201,
-0.00868922472000122,
-0.0039907642640173435,
0.019251447170972824,
-0.05793525651097298,
0.03814106434583664,
-0.0... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "connection", "annotati... | class Instance(object):
def __init__(self, connection=None):
self.connection = connection
self.instance_id = None
self.health_status = None
self.launch_config_name = None
self.lifecycle_state = None
self.availability_zone = None
self.group_name = None
def... | |
15,040 | [
-0.015632130205631256,
-0.015016692690551281,
0.00006783443677704781,
-0.002995132701471448,
-0.01757076196372509,
0.008923853747546673,
-0.0029976970981806517,
-0.01716046966612339,
-0.009616222232580185,
0.005297897383570671,
0.006862136069685221,
0.004574757535010576,
0.023140477016568184... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "container", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs... | def ns(container):
image_name = container.attrs['Image']
image = client.images.get(image_name)
if len(image.tags) > 0:
image_name = image.tags[0].split(":")[0]
else:
image_name = image.short_id.split(":")[1]
image_name.replace('/', '-')
return image_name, container.na... | |
15,041 | [
0.07639532536268234,
-0.01567983441054821,
-0.03208422288298607,
-0.034144677221775055,
0.01751386560499668,
-0.02391033247113228,
0.0009085246711038053,
-0.029299214482307434,
0.026921765878796577,
-0.04949619993567467,
0.0287784393876791,
-0.026876481249928474,
0.012928787618875504,
-0.0... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "arg... | def endElement(self, name, value, connection):
if name == 'InstanceId':
self.instance_id = value
elif name == 'HealthStatus':
self.health_status = value
elif name == 'LaunchConfigurationName':
self.launch_config_name = value
elif name == 'LifecycleStat... | |
15,042 | [
0.038274746388196945,
-0.010465167462825775,
0.0297083742916584,
-0.003164140973240137,
-0.007053560111671686,
0.006487033795565367,
-0.004410809371620417,
-0.017630787566304207,
0.01142390351742506,
0.022412016987800598,
0.006431004032492638,
-0.060811273753643036,
0.02876208908855915,
-0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def __repr__(self):
r = 'Instance<id:%s, state:%s, health:%s' % (self.instance_id,
self.lifecycle_state,
self.health_status)
if self.group_name:
r += ' group:%s' % self.group_name
... | |
15,043 | [
-0.005640026647597551,
0.012564166449010372,
0.0005767493858002126,
-0.027167806401848793,
-0.0005252117407508194,
-0.00846004020422697,
0.03386533632874489,
0.06561566889286041,
0.024435918778181076,
-0.018921785056591034,
0.07533463835716248,
0.004802835173904896,
0.014641407877206802,
0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "monkeypatch", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "db", "annotation": null, "type_comment": null}}], "kwarg":... | def test_lock(monkeypatch, db):
class FakeContext:
obj = {'database': str(db)}
ctx = FakeContext()
monkeypatch.setattr(click, 'get_current_context', lambda: ctx)
def background_lock():
passata.lock_file(str(db))
assert '_lock' in ctx.obj
time.sleep(1)
# lockf lock... | |
15,044 | [
0.018735963851213455,
-0.014749588444828987,
0.05602186173200607,
-0.010789789259433746,
0.028569022193551064,
-0.009753331542015076,
0.009979226626455784,
0.030030693858861923,
0.03080139309167862,
-0.048500899225473404,
0.039624571800231934,
0.009992513805627823,
-0.01354703214019537,
0.... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "monkeypatch", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyar... | def test_default_gpg_id(monkeypatch):
monkeypatch.setattr(passata, 'out', lambda cmd: output)
output = textwrap.dedent("""\
/home/user/.gnupg/pubring.kbx
------------------------------
sec rsa4096 2015-02-26 [SC] [expires: 2018-12-20]
0123456789ABCDEF0123456789ABCDEF0123456... | |
15,045 | [
-0.013101650401949883,
-0.017822779715061188,
0.03989251330494881,
-0.0301822442561388,
0.05929243937134743,
-0.03143983706831932,
-0.015420982614159584,
-0.009014471434056759,
0.04366529732942581,
0.022698530927300453,
-0.0011500022374093533,
0.014390167780220509,
-0.055993836373090744,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "f", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}], "kwarg": null, "var... | def _numerical_gradient_1d(f, x):
h = 1e-4 # 0.0001
grad = np.zeros_like(x)
for idx in range(x.size):
tmp_val = x[idx]
x[idx] = float(tmp_val) + h
fxh1 = f(x) # f(x+h)
x[idx] = tmp_val - h
fxh2 = f(x) # f(x-h)
grad[idx] = (fxh1 - fxh2) / (2 * h)
... | |
15,046 | [
0.004010660108178854,
-0.014804180711507797,
0.060179971158504486,
-0.012476335279643536,
0.009707001969218254,
-0.027521329000592232,
0.03224582225084305,
0.07683037221431732,
0.010698916390538216,
0.03430992364883423,
0.01643252559006214,
-0.02082447148859501,
0.04277272894978523,
0.0011... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "db", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}... | def test_keywords(db):
db = passata.DB(str(db))
# The `keywords` field is empty
db.put('internet/reddit', {
'username': 'takis',
'password': 'pass',
})
assert db.keywords('internet/reddit') == []
# The `keywords` field contains a string
db.put('internet/reddit', {
'... | |
15,047 | [
0.007357489317655563,
0.006345267873257399,
0.0396428182721138,
-0.03023570589721203,
0.04500104486942291,
-0.0010424369247630239,
0.011068967171013355,
-0.008742369711399078,
0.02019406668841839,
0.048949211835861206,
-0.00041483447421342134,
-0.008661794476211071,
-0.007004974409937859,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "f", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "X", "annotation": null, "type_comment": null}}], "kwarg": null, "var... | def numerical_gradient_2d(f, X):
if X.ndim == 1:
return _numerical_gradient_1d(f, X)
else:
grad = np.zeros_like(X)
for idx, x in enumerate(X):
grad[idx] = _numerical_gradient_1d(f, x)
return grad | |
15,048 | [
0.0022741411812603474,
-0.005345515441149473,
0.029900293797254562,
-0.039218463003635406,
0.056557606905698776,
-0.022052276879549026,
-0.014669088646769524,
0.002003892557695508,
0.05089319497346878,
0.006367054767906666,
0.003996975254267454,
0.004705026280134916,
-0.0642542839050293,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "f", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}], "kwarg": null, "var... | def numerical_gradient(f, x):
h = 1e-4 # 0.0001
grad = np.zeros_like(x)
it = np.nditer(x, flags=['multi_index'], op_flags=['readwrite'])
while not it.finished:
idx = it.multi_index
tmp_val = x[idx]
x[idx] = float(tmp_val) + h
fxh1 = f(x) # f(x+h)
x[idx] = tmp_... | |
15,049 | [
0.037803005427122116,
0.020127009600400925,
0.033717986196279526,
0.01199008896946907,
-0.026652002707123756,
0.0025393376126885414,
-0.020745282992720604,
-0.01636216603219509,
-0.0007438602624461055,
0.021319394931197166,
-0.01787472888827324,
-0.046326350420713425,
0.008644788525998592,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Name", "_fields": {"id": "addressPattern", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": nul... | class PageWidget(object):
addressPattern = None
def __init__(self, receiver, callbacks=[], page=1):
self.receiver = receiver
self.page = page
self.callbacks = callbacks
def _callback(self, cb, node, message, address):
(v,) = message.arguments
v = float(v)
i... | |
15,050 | [
0.014610937796533108,
0.0038001409266144037,
0.028797345235943794,
-0.002283327514305711,
-0.048538029193878174,
0.007399809081107378,
0.0014423731481656432,
0.028278473764657974,
0.009882135316729546,
-0.0010672234930098057,
0.008573165163397789,
-0.019610967487096786,
0.012217055074870586,... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def attach(self):
self._recv_callbacks = []
for (idx, cb) in enumerate(self.callbacks):
node = self.addressPattern % (self.page, idx + 1)
recvcb = partial(self._callback, cb, node)
self._recv_callbacks.append((node, recvcb))
self.receiver.addCallback(node,... | |
15,051 | [
0.00748536828905344,
0.0022336815018206835,
0.03311455249786377,
-0.00786709226667881,
-0.05019669979810715,
-0.0010810542153194547,
0.0034563911613076925,
0.016700422391295433,
0.0040587992407381535,
-0.0005610298248939216,
0.0027197832241654396,
-0.016998644918203354,
0.012274811044335365,... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def attach(self):
self._recv_callbacks = []
for (j, row) in enumerate(self.callbacks):
for (k, cb) in enumerate(row):
node = self.addressPattern % (self.page, j + 1, k + 1)
recvcb = partial(self._callback, cb, node)
self._recv_callbacks.append(... | |
15,052 | [
0.017620831727981567,
0.019017405807971954,
0.037227414548397064,
0.022432463243603706,
-0.048705507069826126,
-0.0034832509700208902,
-0.011576286517083645,
-0.01750081405043602,
-0.007473851088434458,
0.002814968815073371,
-0.008963165804743767,
-0.018973762169480324,
-0.000943096354603767... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs... | class GridWidget(PageWidget):
def attach(self):
self._recv_callbacks = []
for (j, row) in enumerate(self.callbacks):
for (k, cb) in enumerate(row):
node = self.addressPattern % (self.page, j + 1, k + 1)
recvcb = partial(self._callback, cb, node)
... | |
15,053 | [
0.03630227968096733,
0.008030809462070465,
0.018893800675868988,
-0.0054598175920546055,
-0.04025474563241005,
0.0029910989105701447,
0.014047622680664062,
0.007961578667163849,
0.007810528390109539,
0.0036598085425794125,
0.00277711171656847,
-0.033432334661483765,
-0.006171009968966246,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def attach(self):
self._recv_callbacks = []
if self.callbacks:
for (idx, cb) in enumerate(self.callbacks):
node = '/%d/xy%d' % (self.page, idx + 1)
recvcb = partial(self._callback, cb, node)
self._recv_callbacks.append((node, recvcb))
... | |
15,054 | [
0.02976379729807377,
0.014699522405862808,
-0.013739007525146008,
0.00705188000574708,
-0.02167845144867897,
0.0063102166168391705,
0.0339219756424427,
-0.02818320319056511,
0.009653780609369278,
-0.02677282691001892,
-0.004501652903854847,
-0.09308481961488724,
0.022967243567109108,
-0.00... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "receiver", "annotation... | class XY(object):
def __init__(self, receiver, callback=lambda x, y: None, callbacks=None,
page=1):
self.receiver = receiver
self.callbacks = callbacks
self.callback = callback
self.page = page
def attach(self):
self._recv_callbacks = []
if self... | |
15,055 | [
0.027169466018676758,
-0.01698707975447178,
0.012857419438660145,
-0.02576414868235588,
-0.03523154929280281,
0.04773147404193878,
-0.004274506587535143,
-0.042159516364336014,
-0.005350067280232906,
-0.016752859577536583,
0.0043916162103414536,
-0.053549982607364655,
-0.0015609499532729387,... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "/%d/led%d"}}, "targets": [{"_type": "Name", "_fields": {"id": "ledAddressPattern", "ctx": {"_type": "Store", "_fields": {}}}}], "type_com... | class TouchOSCStepSequencer:
ledAddressPattern = '/%d/led%d'
def __init__(self, receiver, send, stepSequencer, page=1):
self.stepSequencer = ss = stepSequencer
self.receiver = receiver
self.send = send
self.page = page
# Listeners for multifader and toggle widgets
... | |
15,056 | [
0.033799149096012115,
-0.0014433051692321897,
0.019216064363718033,
0.015723325312137604,
-0.014066974632441998,
0.013754908926784992,
-0.002646559616550803,
0.010688260197639465,
-0.005974263418465853,
0.01506318524479866,
0.010748272761702538,
-0.011438419111073017,
-0.009812074713408947,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cb", "annotation": null, "type_comment": null}}, {"_type": "arg",... | def _callback(self, cb, node, message, address):
(x, y) = message.arguments
x = float(x)
y = float(y)
if DEBUG:
cn = self.__class__.__name__
log.msg('[%s] %s %s %s' % (cn, node, x, y))
cb(x, y) | |
15,057 | [
0.025305477902293205,
-0.011590647511184216,
0.015898384153842926,
-0.03393414244055748,
-0.0220334455370903,
0.01523869950324297,
0.0032341007608920336,
0.006530871614813805,
-0.0017003354150801897,
-0.0014257420552894473,
0.013371794484555721,
-0.047286149114370346,
-0.008562698028981686,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def attach(self):
ss = self.stepSequencer
clock = ss.clock
beats = ss.beats
#players = self.players
#self.step = 0
ss.step = 0
# Clear out the multifader and toggle widgets
for beat in range(1, beats + 1):
for index in range(1, len(ss.notes) +... | |
15,058 | [
0.04832000657916069,
-0.020825175568461418,
-0.0016120272921398282,
-0.024346567690372467,
-0.030946258455514908,
0.010004480369389057,
0.01631266623735428,
-0.021886257454752922,
-0.0164992306381464,
-0.01787513680756092,
-0.006150772795081139,
-0.026608651503920555,
-0.019321005791425705,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "receiver", "annotation": null, "type_comment": null}}, {"_type": ... | def __init__(self, receiver, send, stepSequencer, page=1):
self.stepSequencer = ss = stepSequencer
self.receiver = receiver
self.send = send
self.page = page
# Listeners for multifader and toggle widgets
self._multifader = MultiFader(receiver,
[partial(self.se... | |
15,059 | [
0.03366522863507271,
-0.04583398997783661,
0.010364817455410957,
-0.017687443643808365,
-0.020792489871382713,
0.03665713593363762,
0.0261477492749691,
-0.05005785450339317,
0.005477827973663807,
0.0059555270709097385,
0.012206473387777805,
-0.04196210950613022,
-0.023407265543937683,
-0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def updateLEDs(self):
ss = self.stepSequencer
on = ss.step + 1
off = on - 1
off = off or ss.beats
self.send(self.ledAddressPattern % (self.page, on), 1.0)
self.send(self.ledAddressPattern % (self.page, off), 0.0)
# really only want this for udp, but alas
s... | |
15,060 | [
0.019459595903754234,
0.005131735932081938,
-0.006283692084252834,
-0.010380620136857033,
-0.019641825929284096,
0.04795260727405548,
0.015762923285365105,
-0.0016018371097743511,
-0.008532283827662468,
-0.019576743245124817,
0.028453964740037918,
-0.04248569905757904,
-0.01101191807538271,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def refreshUI(self):
ss = self.stepSequencer
col = ss.on_off[self._refresh_col]
for (index, on_off) in enumerate(col):
self.send(MultiToggle.addressPattern %
(self.page, index + 1, self._refresh_col + 1), on_off)
for beat in range(ss.beats):
... | |
15,061 | [
0.02847610041499138,
0.0320463664829731,
0.02514241822063923,
-0.00068051484413445,
0.02546503394842148,
0.0020822074729949236,
-0.01685122773051262,
-0.02645438350737095,
0.003954715561121702,
0.06955567002296448,
0.014248804189264774,
-0.03791794925928116,
0.004901051055639982,
-0.009818... | 14 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "array", "annotation": null, "type_comment": null}}, {"_type": "ar... | def validate_metadata(self, array, key, is_required=False, is_list=False, is_url=False, is_issuer=False):
if not self.raise_errors:
return
if key not in array:
if is_required:
raise ValueError("key {} is a mandatory metadata.".format(key))
elif is_issuer... | |
15,062 | [
0.015811508521437645,
0.002282414585351944,
0.0983533188700676,
0.025051428005099297,
-0.01130181085318327,
0.015557907521724701,
0.008523219265043736,
0.029131107032299042,
0.019869135692715645,
0.022250784561038017,
0.01913038268685341,
-0.05962945893406868,
0.002315493067726493,
-0.0394... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "endpoints", "annotation": null, "type_comment": null}}, {"_type":... | def __init__(self, endpoints, claims={}, raise_errors=True):
assert isinstance(claims, dict)
for endpoint in endpoints:
assert isinstance(endpoint, BaseEndpoint)
BaseEndpoint.__init__(self)
self.raise_errors = raise_errors
self.endpoints = endpoints
self.init... | |
15,063 | [
0.017154596745967865,
0.011620855890214443,
0.08645164966583252,
-0.019336769357323647,
-0.013938762247562408,
-0.0014813197776675224,
-0.012863337062299252,
0.027564294636249542,
-0.009010600857436657,
0.005679915193468332,
0.01931588724255562,
-0.029944846406579018,
-0.003469028975814581,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "claims", "annotation": null, "type_comment": null}}, {"_type": "a... | def validate_metadata_authorization(self, claims, endpoint):
claims.setdefault("response_types_supported",
list(filter(lambda x: x != "none", endpoint._response_types.keys())))
claims.setdefault("response_modes_supported", ["query", "fragment"])
# The OAuth2.0 Implicit... | |
15,064 | [
0.017152005806565285,
0.02377774380147457,
0.05703558772802353,
-0.014788439497351646,
-0.023119045421481133,
-0.04771047458052635,
0.01681619882583618,
-0.05636397376656532,
0.003845639992505312,
0.018262753263115883,
0.018301500007510185,
-0.029318565502762794,
0.008989304304122925,
-0.0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def createWidgets(self):
#----------------------------------------
# Create the XML entry
self.xml_value = StringVar()
self.xml_label = Label( self, text="XML" )
self.xml_label.grid(row=0, column = 0)
self.xml_entry = Entry( self, width = 26, textvariable=self.xml_valu... | |
15,065 | [
0.06700445711612701,
-0.02085813693702221,
0.0416470542550087,
-0.07872562855482101,
-0.037886131554841995,
-0.03345608338713646,
0.020039040595293045,
0.019704479724168777,
-0.01500909123569727,
0.027964672073721886,
0.0323716439306736,
-0.02241557650268078,
0.04388515278697014,
-0.002990... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "config", "annotation": null, "type_comment": null}}], "kwarg": nu... | def prepare_config(self, config):
if isinstance(config, basestring):
config = [config]
if isinstance(config, list):
config = {'on_output': {'for_accepted': config}}
if not config.get('encoding'):
config['encoding'] = io_encoding
for phase_name in confi... | |
15,066 | [
0.04469755291938782,
0.013084192760288715,
0.0634821355342865,
-0.041493259370326996,
-0.06571120768785477,
-0.0289315078407526,
0.026493458077311516,
-0.06561832875013351,
0.05614477023482323,
0.003958926070481539,
0.015580289997160435,
-0.019492777064442635,
-0.03515433520078659,
-0.0073... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def generateHeaders(self):
# Verify settings
rex = re.compile(".*\\.xml$", re.IGNORECASE)
if not self.xml_value.get():
tkinter.messagebox.showerror('Error Generating Headers','An XML message definition file must be specified.')
return
if not self.out_value.get():... | |
15,067 | [
0.029968688264489174,
0.04057970643043518,
0.010472182184457779,
-0.015351267531514168,
-0.005260883364826441,
0.007675633765757084,
0.034173429012298584,
0.06223808601498604,
0.015024011954665184,
0.05017920956015587,
0.04855284467339516,
0.03915168344974518,
-0.02098403312265873,
0.02010... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cmd", "annotation": null, "type_comment": null}}, {"_type": "arg"... | def execute_cmd(self, cmd, allow_background, encoding):
log.verbose('Executing: %s', cmd)
p = subprocess.Popen(text_to_native_str(cmd, encoding=io_encoding), shell=True, stdin=subprocess.PIPE,
stdout=subprocess.PIPE, stderr=subprocess.STDOUT, close_fds=False)
if not ... | |
15,068 | [
0.058561861515045166,
0.04209133982658386,
0.028038298711180687,
-0.06696657836437225,
0.01019523199647665,
0.002458434784784913,
0.014527499675750732,
0.06624358892440796,
0.009223719127476215,
0.04875636473298073,
0.030207257717847824,
0.007489682640880346,
0.030885057523846626,
0.002906... | 16 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "task", "annotation": null, "type_comment": null}}, {"_type": "arg... | def execute(self, task, phase_name, config):
config = self.prepare_config(config)
if phase_name not in config:
log.debug('phase %s not configured' % phase_name)
return
name_map = {'for_entries': task.entries, 'for_accepted': task.accepted,
'for_reject... | |
15,069 | [
0.001585490652360022,
0.05059489980340004,
0.018046138808131218,
-0.026306530460715294,
0.01668505184352398,
-0.014326616190373898,
0.005394481588155031,
0.005344613920897245,
-0.003813391085714102,
0.06322015821933746,
0.03412104770541191,
0.036561619490385056,
-0.0062187607400119305,
0.0... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "func", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def must_be_branched_from_node(func):
@autoload_draft
@must_be_valid_project
@functools.wraps(func)
def wrapper(*args, **kwargs):
node = kwargs['node']
draft = kwargs['draft']
if not draft.branched_from._id == node._id:
raise HTTPError(
http.BAD_REQUES... | |
15,070 | [
-0.009635645896196365,
0.039006952196359634,
-0.008297822438180447,
-0.040488507598638535,
0.005497791338711977,
-0.010868433862924576,
0.0026093085762113333,
0.03361143171787262,
-0.017336422577500343,
0.051390111446380615,
0.010155296884477139,
0.017601776868104935,
-0.019481362774968147,
... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment"... | def wrapper(*args, **kwargs):
node = kwargs['node']
draft = kwargs['draft']
if not draft.branched_from._id == node._id:
raise HTTPError(
http.BAD_REQUEST,
data={
'message_short': 'Not a draft of this node',
'mess... | |
15,071 | [
0.0135416928678751,
-0.01426338218152523,
0.007302089594304562,
0.027303902432322502,
0.006775858346372843,
-0.06483173370361328,
0.011035827919840813,
0.007467476651072502,
0.008700362406671047,
0.017260396853089333,
-0.02884751372039318,
0.031213050708174706,
0.024156535044312477,
0.0333... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "a", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "b", "annotation": null, "type_comment": null}}, {"_type": "arg", "_f... | def _matmul_cpu(a, b, transa=False, transb=False, transout=False):
if transout:
# (A B)^T = B^T A^T
a, b, transa, transb = b, a, not transb, not transa
a = _as_mat(a)
b = _as_mat(b)
if transa:
a = a.T
if transb:
b = b.T
return numpy.dot(a, b) | |
15,072 | [
0.035606227815151215,
0.0776730626821518,
0.002351383212953806,
-0.01654013618826866,
-0.013917030766606331,
0.06178870424628258,
0.005774475168436766,
0.02637678198516369,
0.00915658101439476,
0.04277119040489197,
0.05717398226261139,
-0.018568186089396477,
0.005759295076131821,
0.0592627... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "draft", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": [... | def check_draft_state(draft):
registered_and_deleted = draft.registered_node and draft.registered_node.is_deleted
if draft.registered_node and not registered_and_deleted:
raise HTTPError(http.FORBIDDEN, data={
'message_short': 'This draft has already been registered',
'message_lo... | |
15,073 | [
0.015869176015257835,
-0.035744164139032364,
0.010214819572865963,
0.0389077290892601,
0.0004638139216694981,
-0.05419144034385681,
0.02063506469130516,
0.0001489340211264789,
0.00815542135387659,
0.0038389028050005436,
-0.029088355600833893,
0.012192047201097012,
0.03202595189213753,
0.02... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "a", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "b", "annotation": null, "type_comment": null}}, {"_type": "arg", "_f... | def _matmul_gpu(a, b, transa=False, transb=False, transout=False, out=None):
if transout:
# (A B)^T = B^T A^T
a, b, transa, transb = b, a, not transb, not transa
a = _as_mat(a)
b = _as_mat(b)
with cuda.using_cumisc():
return cuda.culinalg.dot(a, b,
... | |
15,074 | [
-0.0037416412960737944,
-0.03335529565811157,
0.014479231089353561,
0.040026355534791946,
-0.01772812381386757,
-0.07351160794496536,
0.0180421844124794,
-0.011208679527044296,
0.00012936345592606813,
-0.016341930255293846,
-0.016753455623984337,
0.018854405730962753,
0.02625105157494545,
... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "a", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "b", "annotation": null, "type_comment": null}}, {"_type": "arg", "_f... | def _batch_matmul_gpu(a, b, out, transa=False, transb=False, transout=False):
if transout:
# (A B)^T = B^T A^T
a, b, transa, transb = b, a, not transb, not transa
a = _as_batch_mat(a)
b = _as_batch_mat(b)
alpha = numpy.float32(1.0)
beta = numpy.float32(0.0)
l, m, k = a.shape
... | |
15,075 | [
-0.01647200621664524,
0.015344643965363503,
-0.03392523527145386,
-0.013121236115694046,
0.00516968360170722,
-0.01940523274242878,
0.033737339079380035,
-0.0498126819729805,
0.03707766905426979,
0.0412113294005394,
0.004992228467017412,
0.01772462949156761,
0.05515721067786217,
0.04947865... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "in_type", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "vector_ndim", "annotation": null, "type_comment": null}}], "kw... | def _convert_type(in_type, vector_ndim=1):
if in_type.ndim.eval() == vector_ndim:
in_type = type_check.Variable(
type_check.TypeInfo(in_type.shape.eval() + (1,),
in_type.dtype),
'%s(1-D array)' % in_type.name)
else:
in_type.name = '%s(2-D a... | |
15,076 | [
-0.003303124336525798,
0.013748755678534508,
-0.002497310284525156,
-0.014091048389673233,
0.0032489278819411993,
-0.056638024747371674,
0.003314533969387412,
0.011752048507332802,
0.02062883786857128,
-0.005516616627573967,
-0.012185619212687016,
-0.009783864952623844,
0.010428516194224358,... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "transa", "annotation":... | class MatMul(function.Function):
def __init__(self, transa=False, transb=False):
self.transa = transa
self.transb = transb
def check_type_forward(self, in_types):
type_check.expect(in_types.size() == 2)
a_type, b_type = in_types
type_check.expect(
a_type.dty... | |
15,077 | [
0.0055537596344947815,
-0.007197191007435322,
0.03445464000105858,
0.009729334153234959,
-0.013038072735071182,
-0.04443007707595825,
-0.0003828293120022863,
0.020935295149683952,
0.031216995790600777,
-0.01516004092991352,
-0.033229585736989975,
0.014700645580887794,
0.011736453510820866,
... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}, {"_type": "arg", ... | def backward_cpu(self, x, gy):
gx0 = _matmul_cpu(
gy[0], x[1], transb=not self.transb, transout=self.transa
).reshape(x[0].shape)
gx1 = _matmul_cpu(
x[0], gy[0], transa=not self.transa, transout=self.transb
).reshape(x[1].shape)
return gx0, gx1 | |
15,078 | [
0.012121951207518578,
0.013095246627926826,
0.008472094312310219,
-0.04357708990573883,
0.0028479949105530977,
0.010247251950204372,
0.007548569235950708,
-0.026301095262169838,
0.020649345591664314,
0.03764883428812027,
0.018923958763480186,
-0.011900748126208782,
0.03289296105504036,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "in_types", "annotation": null, "type_comment": null}}], "kwarg": ... | def check_type_forward(self, in_types):
type_check.expect(in_types.size() == 2)
a_type, b_type = in_types
type_check.expect(
a_type.dtype == numpy.float32,
b_type.dtype == numpy.float32
)
_check_ndim(a_type)
_check_ndim(b_type)
a_type = ... | |
15,079 | [
-0.00530287204310298,
0.002419309224933386,
0.01321825198829174,
-0.007676044013351202,
-0.004743460565805435,
-0.06842117756605148,
0.005219248589128256,
0.0083969347178936,
0.006661029998213053,
-0.023737488314509392,
-0.004922241438180208,
-0.026944009587168694,
0.0025173502508550882,
0... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "transa", "annotation":... | class BatchMatMul(function.Function):
def __init__(self, transa=False, transb=False):
self.transa = transa
self.transb = transb
def _output_shape(self, a, b):
batch_size = a.shape[0]
a_mat_shape = _as_mat(a[0]).shape
b_mat_shape = _as_mat(b[0]).shape
m = a_mat_sh... | |
15,080 | [
-0.008798991329967976,
-0.044365961104631424,
0.028706084936857224,
0.006855349522083998,
-0.009336122311651707,
-0.035705406218767166,
0.00044022640213370323,
0.006988248322159052,
0.021906109526753426,
-0.01323447935283184,
-0.04071125388145447,
0.0008354611345566809,
0.023080047219991684,... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}, {"_type": "arg", ... | def backward_gpu(self, x, gy):
gx0 = _matmul_gpu(
gy[0], x[1], transb=not self.transb, transout=self.transa
).reshape(x[0].shape)
gx1 = _matmul_gpu(
x[0], gy[0], transa=not self.transa, transout=self.transb
).reshape(x[1].shape)
return gx0, gx1 | |
15,081 | [
0.01083605270832777,
0.017607182264328003,
0.014025107957422733,
-0.04711717739701271,
0.00012299341324251145,
0.009864738211035728,
0.005207481328397989,
-0.03267659246921539,
0.018292155116796494,
0.0470273457467556,
0.01557471975684166,
-0.008185992017388344,
0.025242948904633522,
0.066... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "in_types", "annotation": null, "type_comment": null}}], "kwarg": ... | def check_type_forward(self, in_types):
type_check.expect(in_types.size() == 2)
a_type, b_type = in_types
type_check.expect(
a_type.dtype == numpy.float32,
b_type.dtype == numpy.float32
)
_check_ndim(a_type, lower=2, upper=3)
_check_ndim(b_type, ... | |
15,082 | [
0.02963172271847725,
-0.03919818624854088,
0.020723965018987656,
-0.004362673033028841,
0.002989520551636815,
-0.07393743097782135,
-0.004106790293008089,
0.02997627668082714,
0.027280641719698906,
-0.04856197535991669,
-0.01805873028934002,
0.025720009580254555,
-0.0024004837032407522,
-0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}], "kwarg": null, "... | def forward_cpu(self, x):
a, b = x
batch_size = a.shape[0]
shape = self._output_shape(a, b)
ret_dtype = numpy.find_common_type([a.dtype, b.dtype], [])
ret = numpy.empty(shape, dtype=ret_dtype)
for i in six.moves.range(batch_size):
ret[i] = _matmul_cpu(
... | |
15,083 | [
0.010654867626726627,
-0.06641178578138351,
0.029139406979084015,
0.00920576136559248,
-0.008885608986020088,
-0.037968847900629044,
0.004195670131593943,
-0.002295823534950614,
0.013131829909980297,
-0.03084688074886799,
-0.02877993881702423,
-0.016086211428046227,
0.0023323320783674717,
... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}, {"_type": "arg", ... | def backward_gpu(self, x, gy):
a, b = x
batch_size = a.shape[0]
ga = cuda.empty((batch_size,) + _as_mat(a[0]).shape)
gb = cuda.empty((batch_size,) + _as_mat(b[0]).shape)
_batch_matmul_gpu(gy[0], b,
transb=not self.transb, transout=self.transa, out=ga)
... | |
15,084 | [
0.014891179278492928,
-0.015205860137939453,
0.0323447659611702,
0.005223151296377182,
-0.024410294368863106,
-0.051877494901418686,
-0.000289570220047608,
0.018431346863508224,
0.018285244703292847,
-0.029355289414525032,
-0.010541831143200397,
0.002209794707596302,
-0.001563573838211596,
... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "x", "annotation": null, "type_comment": null}}, {"_type": "arg", ... | def backward_cpu(self, x, gy):
a, b = x
batch_size = a.shape[0]
ga = numpy.empty_like(a)
gb = numpy.empty_like(b)
for i in six.moves.range(batch_size):
ga[i] = _matmul_cpu(gy[0][i], b[i],
transb=not self.transb, transout=self.transa
... | |
15,085 | [
0.009515434503555298,
-0.015294747427105904,
0.0036806634161621332,
-0.02201976627111435,
0.002751011401414871,
0.001402504974976182,
0.04144759848713875,
0.03383525088429451,
0.01113831251859665,
0.059030719101428986,
-0.0004549749428406358,
-0.035142891108989716,
0.020642071962356567,
-0... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "expr", "annotation": null, "type_comment": null}}, {"_type": "arg... | def integrate(self, expr, variables=None, **kwargs):
if variables is None:
variables = self.symbols
if not variables:
return expr
assert frozenset(variables) == frozenset(self.symbols)
# assumes only intervals
return Integral(expr, (self.symbol, self.set),... | |
15,086 | [
0.03319276496767998,
-0.011410734616219997,
0.036680661141872406,
-0.017531877383589745,
0.012323131784796715,
0.0028916627634316683,
0.03774319961667061,
0.05880917236208916,
0.01113932579755783,
0.07936697453260422,
-0.021551044657826424,
-0.020142026245594025,
0.003727545263245702,
0.00... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "expr", "annotation": null, "type_comment": null}}, {"_type": "arg... | def integrate(self, expr, rvs=None, **kwargs):
if rvs is None:
rvs = self.values
else:
rvs = frozenset(rvs)
expr = expr.xreplace(dict((rv, rv.symbol) for rv in rvs))
domain_symbols = frozenset(rv.symbol for rv in rvs)
return self.domain.integrate(self.p... | |
15,087 | [
0.05896763503551483,
-0.008511494845151901,
0.02962000109255314,
0.031049933284521103,
0.009691755287349224,
0.017545027658343315,
0.03286571800708771,
0.08575047552585602,
0.0286440160125494,
0.07231365889310837,
0.030777564272284508,
-0.03200322017073631,
0.00867605023086071,
0.031662762... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "expr", "annotation": null, "type_comment": null}}], "kwarg": {"_t... | def compute_cdf(self, expr, **kwargs):
if not self.domain.set.is_Interval:
raise ValueError(
"CDF not well defined on multivariate expressions")
d = self.compute_density(expr, **kwargs)
x, z = symbols('x, z', real=True, bounded=True, cls=Dummy)
left_bound = s... | |
15,088 | [
0.07015527039766312,
-0.020212197676301003,
-0.0118863545358181,
0.026613926514983177,
0.0402325838804245,
0.01245579682290554,
0.026829713955521584,
0.06185939535498619,
0.011892348527908325,
0.03579692915081978,
-0.029059529304504395,
0.01057364046573639,
0.005664450582116842,
0.03419050... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "expr", "annotation": null, "type_comment": null}}], "kwarg": {"_t... | def compute_density(self, expr, **kwargs):
# Common case Density(X) where X in self.values
if expr in self.values:
# Marginalize all other random symbols out of the density
randomsymbols = tuple(set(self.values) - frozenset([expr]))
symbols = tuple(rs.symbol for rs in... | |
15,089 | [
0.06825417280197144,
0.023576529696583748,
0.01750815659761429,
0.052344225347042084,
0.03407902270555496,
0.033982887864112854,
0.05176742747426033,
0.029320456087589264,
0.041000571101903915,
0.06335140764713287,
-0.04306742176413536,
-0.013194205239415169,
0.008117199875414371,
0.012437... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "condition", "annotation": null, "type_comment": null}}, {"_type":... | def conditional_space(self, condition, normalize=True, **kwargs):
condition = condition.xreplace(dict((rv, rv.symbol) for rv in self.values))
domain = ConditionalContinuousDomain(self.domain, condition)
if normalize:
pdf = self.pdf / domain.integrate(self.pdf, **kwargs)
... | |
15,090 | [
0.05004500225186348,
-0.0228322371840477,
0.023507144302129745,
0.0312749445438385,
0.028371568769216537,
-0.0013044490478932858,
0.07380682975053787,
0.009926228784024715,
0.011664433404803276,
0.07752518355846405,
-0.028779059648513794,
-0.029543105512857437,
0.008971171453595161,
-0.014... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "condition", "annotation": null, "type_comment": null}}], "kwarg":... | def where(self, condition):
rvs = frozenset(random_symbols(condition))
if not (len(rvs) == 1 and rvs.issubset(self.values)):
raise NotImplementedError(
"Multiple continuous random variables not supported")
rv = tuple(rvs)[0]
interval = reduce_rational_inequali... | |
15,091 | [
0.03608560934662819,
-0.01862630620598793,
0.019701780751347542,
-0.016727063804864883,
0.0050198351964354515,
-0.015560059808194637,
0.03336259722709656,
0.06576413661241531,
0.0152053814381361,
0.06196564808487892,
-0.006767481565475464,
-0.03578813746571541,
0.02858016826212406,
0.01398... | 10 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "expr", "annotation": null, "type_comment": null}}, {"_type": "arg... | def integrate(self, expr, rvs=None, **kwargs):
rvs = rvs or (self.value,)
if self.value not in rvs:
return expr
expr = expr.xreplace(dict((rv, rv.symbol) for rv in rvs))
x = self.value.symbol
try:
return self.distribution.expectation(expr, x, evaluate=Fa... | |
15,092 | [
0.03022708371281624,
-0.015576201491057873,
-0.024785326793789864,
0.00680770305916667,
0.031196465715765953,
-0.010751323774456978,
0.03727713227272034,
0.05300755426287651,
0.016016829758882523,
0.0258868969976902,
-0.034787584096193314,
-0.00039897492388263345,
-0.0244107935577631,
0.00... | 11 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "expr", "annotation": null, "type_comment": null}}], "kwarg": {"_t... | def compute_density(self, expr, **kwargs):
# http://en.wikipedia.org/wiki/Random_variable#Functions_of_random_variables
if expr == self.value:
return self.density
y = Dummy('y')
gs = solve(expr - y, self.value)
if not gs:
raise ValueError("Can not solve %s... | |
15,093 | [
0.027328088879585266,
0.01674387790262699,
0.09031283110380173,
-0.020767178386449814,
-0.009076829999685287,
-0.02007313258945942,
0.02472541481256485,
0.07560771703720093,
0.017394546419382095,
0.047021664679050446,
0.02695937640964985,
0.019324863329529762,
-0.011440926231443882,
-0.008... | 12 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "jobs", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "threads", "annotation": null, "type_comment": null}}], "kwarg": n... | def run(jobs, threads=None):
if threads is None:
threads = len(jobs)
pool = multiprocessing.pool.ThreadPool(processes=threads)
try:
futures = []
for job in jobs:
kwargs = dict(job)
args = ()
del kwargs['callback']
if 'args' in job:
... | |
15,094 | [
0.02030671201646328,
-0.02575230598449707,
-0.004877528641372919,
0.008964989334344864,
-0.0009459598222747445,
0.04189320653676987,
-0.006588255055248737,
0.012288499623537064,
0.04562807455658913,
0.044609472155570984,
0.06242192164063454,
-0.030558010563254356,
-0.03285638988018036,
0.0... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields":... | def test_fractional_pow():
mp.dps = 15
assert mpf(16) ** 2.5 == 1024
assert mpf(64) ** 0.5 == 8
assert mpf(64) ** -0.5 == 0.125
assert mpf(16) ** -2.5 == 0.0009765625
assert (mpf(10) ** 0.5).ae(3.1622776601683791)
assert (mpf(10) ** 2.5).ae(316.2277660168379)
assert (mpf(10) ** -0.5).ae(... | |
15,095 | [
0.045218341052532196,
-0.007227521855384111,
0.009751158766448498,
-0.026773443445563316,
0.03128655627369881,
0.019131675362586975,
-0.004025282803922892,
-0.03904823958873749,
-0.010923041962087154,
-0.0059956819750368595,
0.012187586165964603,
-0.04530555009841919,
0.04491310566663742,
... | 7 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "configuration", "annotation": null, "type_comment": null}}, {"_ty... | def __init__(self, configuration=None, name=None):
SimpleService.__init__(self, configuration=configuration, name=name)
self.order = ORDER
self.definitions = deepcopy(CHARTS)
self.user = configuration.get('user')
self.password = configuration.get('password')
self.server =... | |
15,096 | [
-0.01728162169456482,
-0.053569894284009933,
0.09409231692552567,
-0.051688045263290405,
0.05093530938029289,
-0.023585807532072067,
0.009367412887513638,
-0.019686203449964523,
0.01435430534183979,
0.036528728902339935,
-0.026575852185487747,
-0.038138750940561295,
0.030088631436228752,
-... | 8 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def _path_to_apache_config_file(self):
if self._is_redhat_based():
config_name = 'fedora-httpd.conf'
else:
config_name = 'apache2-debian-httpd.conf'
return self._filesystem.join(self.layout_tests_dir(), 'http', 'conf',
config_name) | |
15,097 | [
0.026790427044034004,
-0.0027069945354014635,
0.06152679771184921,
0.022904295474290848,
0.07212138921022415,
0.031197603791952133,
0.004654130898416042,
0.033694278448820114,
-0.01687970571219921,
-0.01408994011580944,
-0.015056045725941658,
-0.047849349677562714,
0.040576424449682236,
0.... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def check(self):
if not HAS_ORACLE:
self.error("'cx_Oracle' package is needed to use oracledb module")
return False
if not all([
self.user,
self.password,
self.server,
self.service,
]):
self.error("one of these ... | |
15,098 | [
0.008975651115179062,
0.004415397997945547,
0.029228540137410164,
0.03405704349279404,
0.06403668224811554,
0.03448624536395073,
0.013541270047426224,
0.029636280611157417,
0.009243901818990707,
0.002368649234995246,
0.02955044060945511,
-0.015601431019604206,
0.029979640617966652,
0.04558... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def connect(self):
if self.conn:
self.conn.close()
self.conn = None
try:
self.conn = cx_Oracle.connect(
CX_CONNECT_STRING.format(
self.user,
self.password,
self.server,
se... | |
15,099 | [
0.02982521988451481,
-0.004105794709175825,
0.0766415074467659,
0.010392260737717152,
0.03502703085541725,
0.037048693746328354,
-0.04829277843236923,
-0.04077400639653206,
-0.02373751439154148,
-0.01805868186056614,
0.004185298457741737,
-0.023305922746658325,
0.0033561892341822386,
-0.03... | 9 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}], "kwarg": null... | def add_tablespace_to_charts(self, name):
self.charts['tablespace_size'].add_dimension(
[
'{0}_tablespace_size'.format(name),
name,
'absolute',
1,
1024 * 1000,
])
self.charts['tablespace_usage'].add_d... | |
15,100 | [
0.04047735035419464,
0.011585318483412266,
0.0418618880212307,
-0.0009645948302932084,
0.04395226761698723,
-0.002814886160194874,
-0.025247443467378616,
-0.023401392623782158,
0.0028030090034008026,
0.004598156549036503,
0.020170805975794792,
-0.0012411628849804401,
-0.0005234432755969465,
... | 13 | {"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []... | def get_data(self):
if not self.alive and not self.reconnect():
return None
data = dict()
# SYSTEM
try:
rv = self.gather_system_metrics()
except cx_Oracle.Error as error:
self.error(error)
self.alive = False
return Non... |