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11
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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'), digestmod=sha256) else: self._hmac_256 = None
15,002
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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(R))) R = np.dot(S,R) Q = np.dot(Q,S) Q = Q.T plinalg_file = os.path.join(my_path, 'test_plinalg.py') print(sys.executable, plinalg_file, V_path, v_path) returncode = subprocess.call(['mpirun', '-np', '4', sys.executable, plinalg_file, V_path, v_path]) assert returncode == 0 pdot = np.loadtxt(os.path.join(my_path, 'plinalg_dot.txt')) assert np.allclose(pdot, np.dot(V, v)) pQ = np.loadtxt(os.path.join(my_path, 'plinalg_Q.txt')).T pR = np.loadtxt(os.path.join(my_path, 'plinalg_R.txt')) #print(np.abs(R-pR)).max() #print(np.abs(Q-pQ)).max() assert np.allclose(R, pR, rtol=1e-4, atol=1e-6) assert np.allclose(Q, pQ, rtol=1e-4, atol=1e-6)
15,003
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9
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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_token b64_hmac = self.sign_string(headers['Date']) auth_hdr = self._provider.auth_header headers['Authorization'] = ("%s %s:%s" % (auth_hdr, self._provider.access_key, b64_hmac))
15,004
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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._provider.security_token_header headers[key] = self._provider.security_token string_to_sign = boto.utils.canonical_string(method, auth_path, headers, None, self._provider) boto.log.debug('StringToSign:\n%s' % string_to_sign) b64_hmac = self.sign_string(string_to_sign) auth_hdr = self._provider.auth_header auth = ("%s %s:%s" % (auth_hdr, self._provider.access_key, b64_hmac)) boto.log.debug('Signature:\n%s' % auth) headers['Authorization'] = auth
15,005
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"_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "AWS3-HTTPS AWSAccessKeyId=%s,"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "access_key", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_provider", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Algorithm=%s,Signature=%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "algorithm", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "b64_hmac", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "target": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "X-Amzn-Authorization"}}, "value": {"_type": "Name", "_fields": {"id": "headers", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "add_auth", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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_token b64_hmac = self.sign_string(headers['Date']) s = "AWS3-HTTPS AWSAccessKeyId=%s," % self._provider.access_key s += "Algorithm=%s,Signature=%s" % (self.algorithm(), b64_hmac) headers['X-Amzn-Authorization'] = s
15,006
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11
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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
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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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "method", "value": {"_type": "Name", "_fields": {"id": "http_request", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "POST"}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "l", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "param", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "http_request", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_utf8_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "utils", "value": {"_type": "Name", "_fields": {"id": "boto", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s=%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "param", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "quote", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "safe", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "-_.~"}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "quote", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "safe", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "-_.~"}}}}]}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "l", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "http_request", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "sorted", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "param", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "l", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "&"}}}}, "keywords": []}}}}], "name": "canonical_query_string", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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_request.params[param]) l.append('%s=%s' % (urllib.parse.quote(param, safe='-_.~'), urllib.parse.quote(value, safe='-_.~'))) return '&'.join(l)
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12
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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='') + '=' + urllib.parse.quote(pval, safe='-_~')) return '&'.join(pairs)
15,009
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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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "auth_path", "value": {"_type": "Name", "_fields": {"id": "http_request", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\\"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "replace", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "normpath", "value": {"_type": "Name", "_fields": {"id": "posixpath", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "normalized", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "normalized", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "quote", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "encoded", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": "/"}}, "target": {"_type": "Name", "_fields": {"id": "encoded", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "endswith", "value": {"_type": "Name", "_fields": {"id": "path", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "encoded", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "canonical_uri", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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.quote(normalized) if len(path) > 1 and path.endswith('/'): encoded += '/' return encoded
15,010
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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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "body", "value": {"_type": "Name", "_fields": {"id": "http_request", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compute_hash", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "utils", "value": {"_type": "Name", "_fields": {"id": "boto", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "hash_algorithm", "value": {"_type": "Name", "_fields": {"id": "sha256", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "seek"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "read"}}], "func": {"_type": "Name", "_fields": {"id": "hasattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "utf-8"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "encode", "value": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "bytes", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hexdigest", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "sha256", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "payload", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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_hash(body, hash_algorithm=sha256)[0] elif not isinstance(body, bytes): body = body.encode('utf-8') return sha256(body).hexdigest()
15,011
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10
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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(parts) == 3: region_name = 'us-east-1' else: region_name = parts[1] else: region_name = parts[0] return region_name
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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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "upper", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "method", "value": {"_type": "Name", "_fields": {"id": "http_request", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "cr", "ctx": {"_type": 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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) + '\n') cr.append(self.signed_headers(headers_to_sign)) cr.append(self.payload(http_request)) return '\n'.join(cr)
15,013
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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) # * parsed from the endpoint <service>.<region>.amazonaws.com. region_name = self.determine_region_name(http_request.host) service_name = self.determine_service_name(http_request.host) http_request.service_name = service_name http_request.region_name = region_name scope.append(http_request.region_name) scope.append(http_request.service_name) scope.append('aws4_request') return '/'.join(scope)
15,014
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9
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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.service_name) k_signing = self._sign(k_service, 'aws4_request') return self._sign(k_signing, string_to_sign, hex=True)
15,015
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8
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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 out. unquoted = urllib.parse.unquote(path.path) # Requote, this time addressing all characters. encoded = urllib.parse.quote(unquoted) return encoded
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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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "l", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "param", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "http_request", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_utf8_value", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "utils", "value": {"_type": "Name", "_fields": {"id": "boto", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s=%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "param", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "quote", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "safe", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "-_.~"}}}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "quote", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse", "value": {"_type": "Name", "_fields": {"id": "urllib", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "safe", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "-_.~"}}}}]}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "l", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "http_request", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "sorted", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "param", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "l", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "&"}}}}, "keywords": []}}}}], "name": "canonical_query_string", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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_request.params[param]) l.append('%s=%s' % (urllib.parse.quote(param, safe='-_.~'), urllib.parse.quote(value, safe='-_.~'))) return '&'.join(l)
15,017
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10
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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 = self.mangle_path_and_params(req) return super(S3HmacAuthV4Handler, self).add_auth(updated_req, unmangled_req=req, **kwargs)
15,018
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12
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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.amazonaws.com (Vhosted Classic) # - bukkit.s3-ap-northeast-1.amazonaws.com (Vhosted specific region) # - s3.cn-north-1.amazonaws.com.cn - (Beijing region) # - bukkit.s3.cn-north-1.amazonaws.com.cn - (Vhosted Beijing region) parts = self.split_host_parts(host) if self.region_name is not None: region_name = self.region_name else: # Classic URLs - s3-us-west-2.amazonaws.com if len(parts) == 3: region_name = self.clean_region_name(parts[0]) # Special-case for Classic. if region_name == 's3': region_name = 'us-east-1' else: # Iterate over the parts in reverse order. for offset, part in enumerate(reversed(parts)): part = part.lower() # Look for the first thing starting with 's3'. # Until there's a ``.s3`` TLD, we should be OK. :P if part == 's3': # If it's by itself, the region is the previous part. region_name = parts[-offset] # Unless it's Vhosted classic if region_name == 'amazonaws': region_name = 'us-east-1' break elif part.startswith('s3-'): region_name = self.clean_region_name(part) break return region_name
15,019
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8
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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 so the query string should go into the body # as opposed to being in the uri http_request.body = qs
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11
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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(pairs)
15,021
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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 = [] for key in keys: val = boto.utils.get_utf8_value(params[key]) pairs.append(key + '=' + urllib.parse.quote(val)) qs = '&'.join(pairs) return (qs, base64.b64encode(hmac.digest()))
15,022
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11
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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._calc_signature( http_request.params, http_request.method, http_request.auth_path, http_request.host) boto.log.debug('query_string: %s Signature: %s' % (qs, signature)) if http_request.method == 'POST': headers['Content-Type'] = 'application/x-www-form-urlencoded; charset=UTF-8' http_request.body = qs + '&Signature=' + urllib.parse.quote_plus(signature) http_request.headers['Content-Length'] = str(len(http_request.body)) else: http_request.body = '' # if this is a retried request, the qs from the previous try will # already be there, we need to get rid of that and rebuild it http_request.path = http_request.path.split('?')[0] http_request.path = (http_request.path + '?' + qs + '&Signature=' + urllib.parse.quote_plus(signature))
15,023
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11
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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 = boto.utils.get_utf8_value(params[key]) hmac.update(val) pairs.append(key + '=' + urllib.parse.quote(val)) qs = '&'.join(pairs) return (qs, base64.b64encode(hmac.digest()))
15,024
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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: params['SecurityToken'] = self._provider.security_token keys = sorted(params.keys()) pairs = [] for key in keys: val = boto.utils.get_utf8_value(params[key]) pairs.append(urllib.parse.quote(key, safe='') + '=' + urllib.parse.quote(val, safe='-_~')) qs = '&'.join(pairs) boto.log.debug('query string: %s' % qs) string_to_sign += qs boto.log.debug('string_to_sign: %s' % string_to_sign) hmac.update(string_to_sign.encode('utf-8')) b64 = base64.b64encode(hmac.digest()) boto.log.debug('len(b64)=%d' % len(b64)) boto.log.debug('base64 encoded digest: %s' % b64) return (qs, b64)
15,025
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12
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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 also check # ``boto/iam/connection.py``, as several things there are also # endpoint-related. if getattr(self.region, 'endpoint', ''): for test in SIGV4_DETECT: if test in self.region.endpoint: return ['hmac-v4'] return func(self) return _wrapper
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10
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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, req.auth_path, req.host) boto.log.debug('query_string: %s Signature: %s' % (qs, signature)) if req.method == 'POST': req.headers['Content-Length'] = str(len(req.body)) req.headers['Content-Type'] = req.headers.get('Content-Type', 'text/plain') else: req.body = '' # if this is a retried req, the qs from the previous try will # already be there, we need to get rid of that and rebuild it req.path = req.path.split('?')[0] req.path = (req.path + '?' + qs + '&Signature=' + urllib.parse.quote_plus(signature))
15,027
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11
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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/connection.py``, as several things there are also # endpoint-related. if getattr(self.region, 'endpoint', ''): for test in SIGV4_DETECT: if test in self.region.endpoint: return ['hmac-v4'] return func(self)
15,028
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10
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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 should also check # ``boto/iam/connection.py``, as several things there are also # endpoint-related. for test in SIGV4_DETECT: if test in self.host: return ['hmac-v4-s3'] return func(self) return _wrapper
15,029
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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 == "int" or base == "long": self.base_type = "int" self.length = 32 elif base == "long long": self.base_type = "int" self.length = 64 elif base == "float": self.base_type = "float" self.length = 32 elif base == "double": self.base_type = "float" self.length = 64 elif base == "long double": self.base_type = "float" self.length = 80 elif base == "array": self.base_type = "pointer" self.length = arraylength else: self.base_type = base self.length = -1 self.const = const self.unsigned = unsigned self.reference = reference
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9
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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/connection.py``, as several things there are also # endpoint-related. for test in SIGV4_DETECT: if test in self.host: return ['hmac-v4-s3'] return func(self)
15,031
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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')(max_length=255, db_index=True)), ('external_domain', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)), ('external_credentials', self.gf('django.db.models.fields.TextField')(blank=True)), ('external_email', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)), ('external_name', self.gf('django.db.models.fields.CharField')(db_index=True, max_length=255, blank=True)), ('user', self.gf('django.db.models.fields.related.OneToOneField')(to=orm['auth.User'], unique=True, null=True)), ('internal_password', self.gf('django.db.models.fields.CharField')(max_length=31, blank=True)), ('dtcreated', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('dtsignup', self.gf('django.db.models.fields.DateTimeField')(null=True)), )) db.send_create_signal('external_auth', ['ExternalAuthMap']) # Adding unique constraint on 'ExternalAuthMap', fields ['external_id', 'external_domain'] db.create_unique('external_auth_externalauthmap', ['external_id', 'external_domain']) def backwards(self, orm): # Removing unique constraint on 'ExternalAuthMap', fields ['external_id', 'external_domain'] db.delete_unique('external_auth_externalauthmap', ['external_id', 'external_domain']) # Deleting model 'ExternalAuthMap' db.delete_table('external_auth_externalauthmap') models = { 'auth.group': { 'Meta': {'object_name': 'Group'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}), 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}) }, 'auth.permission': { 'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'}, 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'auth.user': { 'Meta': {'object_name': 'User'}, 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}), 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'}) }, 'contenttypes.contenttype': { 'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"}, 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, 'external_auth.externalauthmap': { 'Meta': {'unique_together': "(('external_id', 'external_domain'),)", 'object_name': 'ExternalAuthMap'}, 'dtcreated': ('django.db.models.fields.DateTimeField', [], {'auto_now_add': 'True', 'blank': 'True'}), 'dtsignup': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}), 'external_credentials': ('django.db.models.fields.TextField', [], {'blank': 'True'}), 'external_domain': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}), 'external_email': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}), 'external_id': ('django.db.models.fields.CharField', [], {'max_length': '255', 'db_index': 'True'}), 'external_name': ('django.db.models.fields.CharField', [], {'db_index': 'True', 'max_length': '255', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'internal_password': ('django.db.models.fields.CharField', [], {'max_length': '31', 'blank': 'True'}), 'user': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['auth.User']", 'unique': 'True', 'null': 'True'}) } } complete_apps = ['external_auth']
15,032
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11
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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)), ('external_domain', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)), ('external_credentials', self.gf('django.db.models.fields.TextField')(blank=True)), ('external_email', self.gf('django.db.models.fields.CharField')(max_length=255, db_index=True)), ('external_name', self.gf('django.db.models.fields.CharField')(db_index=True, max_length=255, blank=True)), ('user', self.gf('django.db.models.fields.related.OneToOneField')(to=orm['auth.User'], unique=True, null=True)), ('internal_password', self.gf('django.db.models.fields.CharField')(max_length=31, blank=True)), ('dtcreated', self.gf('django.db.models.fields.DateTimeField')(auto_now_add=True, blank=True)), ('dtsignup', self.gf('django.db.models.fields.DateTimeField')(null=True)), )) db.send_create_signal('external_auth', ['ExternalAuthMap']) # Adding unique constraint on 'ExternalAuthMap', fields ['external_id', 'external_domain'] db.create_unique('external_auth_externalauthmap', ['external_id', 'external_domain'])
15,034
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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, _thresholds, time=datetime(2017, 11, 11, 4, 0), frt=datetime(2017, 11, 11, 0, 0), ) forecasts_grid = MergeCubes()([forecast_1, forecast_2]) return forecasts_grid
15,035
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10
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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_a, truth_data_b]) truth_1 = set_up_probability_cube( truth_data_stack, _thresholds, frt=datetime(2017, 11, 10, 4, 0) ) truth_2 = set_up_probability_cube( truth_data_stack, _thresholds, time=datetime(2017, 11, 11, 4, 0), frt=datetime(2017, 11, 11, 4, 0), ) truths_grid = MergeCubes()([truth_1, truth_2]) return truths_grid
15,036
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8
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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, expected_shape=expected_table_shape_grid, ) return RelTableInputs( forecast=forecast_spot, truth=truth_spot, expected_shape=expected_table_shape_spot, )
15,037
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9
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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(axis="y"), ], iris.analysis.SUM, ) reliability_table_agg = reliability_cube_format.copy(data=reliability_data) return reliability_table_agg
15,038
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10
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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), slice(0, None), 1), ) else: return RelTables( table=reliability_table_point_grid, indices0=(0, slice(0, None), slice(0, None), 0, 0), indices1=(0, slice(0, None), slice(0, None), 0, 1), )
15,039
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"_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "availability_zone", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "AvailabilityZone"}}]}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "group_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "AutoScalingGroupName"}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "setattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}]}}]}}]}}]}}]}}], "name": "endElement", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Instance", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
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 __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 r += '>' return r def startElement(self, name, attrs, connection): return None 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 == 'LifecycleState': self.lifecycle_state = value elif name == 'AvailabilityZone': self.availability_zone = value elif name == 'AutoScalingGroupName': self.group_name = value else: setattr(self, name, value)
15,040
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11
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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.name
15,041
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12
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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 == 'LifecycleState': self.lifecycle_state = value elif name == 'AvailabilityZone': self.availability_zone = value elif name == 'AutoScalingGroupName': self.group_name = value else: setattr(self, name, value)
15,042
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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": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Instance<id:%s, state:%s, health:%s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "instance_id", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lifecycle_state", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "health_status", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "targets": [{"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " group:%s"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "group_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "target": {"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Store", "_fields": {}}}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "group_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Constant", "_fields": {"kind": null, "value": ">"}}, "target": {"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "r", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "__repr__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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 r += '>' return r
15,043
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[{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "unlock_file", "value": {"_type": "Name", "_fields": {"id": "passata", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "unlock_file: %s"}}, "right": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "name": "test_lock", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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 locks are bound to processes, not file descriptors # so we have to use a forked process to properly test this. ff = py.process.ForkedFunc(background_lock) time.sleep(0.5) result = run(['rm', 'internet/github', '--force']) assert isinstance(result.exception, SystemExit) assert result.output == "Another passata process is editing the database\n" result = ff.waitfinish() assert result.exitstatus == 0 assert result.out == result.err == '' result = run(['rm', 'internet/github', '--force']) assert result.output == '' assert result.exception is None try: # The file is normally unlocked and deleted when the # program exits (see: atexit), which hasn't happened yet. # The first time we call unlock_file, we explicitly unlock it. passata.unlock_file(str(db)) # The second, we do nothing but no error is raised # either, because we ignore any FileNotFoundError. passata.unlock_file(str(db)) except Exception as e: pytest.fail('unlock_file: %s' % e)
15,044
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8
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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] 0123456789ABCDEF0123456789ABCDEF01234567 uid [ultimate] Name Surname <mail@mail.com> ssb rsa4096 2015-02-26 [E] [expires: 2018-12-20] sec rsa4096 2016-01-1 [SC] [expires: 2018-1-1] 0123456789ABCDEF0123456789ABCDEF01234567 uid [ultimate] Name Surname <mail2@mail.com> ssb rsa4096 2016-01-1 [E] [expires: 2018-1-1]""") assert passata.default_gpg_id() == 'mail@mail.com' # No secret keys output = '' with pytest.raises(SystemExit): passata.default_gpg_id()
15,045
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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) x[idx] = tmp_val # 値を元に戻す return grad
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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', { 'username': 'takis', 'password': 'pass', 'keywords': 'Keyword' }) assert db.keywords('internet/reddit') == ['keyword'] # The `keywords` field contains a list of strings db.put('internet/reddit', { 'username': 'takis', 'password': 'pass', 'keywords': ['Google', 'YouTube', 'Gmail'] }) assert db.keywords('internet/reddit') == ['google', 'youtube', 'gmail']
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8
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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
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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_val - h fxh2 = f(x) # f(x-h) grad[idx] = (fxh1 - fxh2) / (2 * h) x[idx] = tmp_val # 値を元に戻す it.iternext() return grad
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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) if DEBUG: cn = self.__class__.__name__ log.msg('[%s] %s %s' % (cn, node, v)) cb(v) 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, recvcb) return self def detach(self): for (node, recvcb) in self._recv_callbacks: self.receiver.removeCallback(node, recvcb)
15,050
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9
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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, recvcb) return self
15,051
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10
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"_fields": {"id": "row", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "enumerate", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "k", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "cb", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "callbacks", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "enumerate", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "j", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "row", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "attach", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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((node, recvcb)) self.receiver.addCallback(node, recvcb) return self
15,052
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11
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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) self._recv_callbacks.append((node, recvcb)) self.receiver.addCallback(node, recvcb) return self
15,053
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10
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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)) self.receiver.addCallback(node, recvcb) else: node = '/%d/xy' % self.page recvcb = partial(self._callback, self.callback, node) self._recv_callbacks.append((node, recvcb)) self.receiver.addCallback(node, recvcb) return self
15,054
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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.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)) self.receiver.addCallback(node, recvcb) else: node = '/%d/xy' % self.page recvcb = partial(self._callback, self.callback, node) self._recv_callbacks.append((node, recvcb)) self.receiver.addCallback(node, recvcb) return self 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)
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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 self._multifader = MultiFader(receiver, [partial(self.setVelocity, idx) for idx in range(ss.beats)], page) self._multitoggle = MultiToggle(receiver, [[partial(ss.setStep, c, r) for c in range(ss.beats)] for r in range(len(ss.notes))], page) 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) + 1): self.send(MultiToggle.addressPattern % ( self.page, index, beat), ss.on_off[beat - 1][index - 1]) for beat in range(1, beats + 1): self.send(MultiFader.addressPattern % (self.page, beat), ss.velocity[beat - 1] / 127.) self._multifader.attach() self._multitoggle.attach() self._led_schedule = clock.schedule(self.updateLEDs ).startLater(1, 1. / beats) self._refresh_col = 0 self._refresh_ui_schedule = clock.schedule(self.refreshUI ).startLater(1, 0.0625) return self def detach(self): self._led_schedule.stopLater(0) self._refresh_ui_schedule.stopLater(0) self._multifader.detach() self._multitoggle.detach() 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 self.send(self.ledAddressPattern % (self.page, on), 1.0) self.send(self.ledAddressPattern % (self.page, off), 0.0) def setVelocity(self, idx, v): nv = int(v * 127) self.stepSequencer.setVelocity(idx, nv) 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): self.send(MultiFader.addressPattern % (self.page, beat + 1), ss.velocity[beat] / 127.) self._refresh_col = (self._refresh_col + 1) % ss.beats
15,056
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9
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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
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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) + 1): self.send(MultiToggle.addressPattern % ( self.page, index, beat), ss.on_off[beat - 1][index - 1]) for beat in range(1, beats + 1): self.send(MultiFader.addressPattern % (self.page, beat), ss.velocity[beat - 1] / 127.) self._multifader.attach() self._multitoggle.attach() self._led_schedule = clock.schedule(self.updateLEDs ).startLater(1, 1. / beats) self._refresh_col = 0 self._refresh_ui_schedule = clock.schedule(self.refreshUI ).startLater(1, 0.0625) return self
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11
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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.setVelocity, idx) for idx in range(ss.beats)], page) self._multitoggle = MultiToggle(receiver, [[partial(ss.setStep, c, r) for c in range(ss.beats)] for r in range(len(ss.notes))], page)
15,059
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9
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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 self.send(self.ledAddressPattern % (self.page, on), 1.0) self.send(self.ledAddressPattern % (self.page, off), 0.0)
15,060
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11
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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): self.send(MultiFader.addressPattern % (self.page, beat + 1), ss.velocity[beat] / 127.) self._refresh_col = (self._refresh_col + 1) % ss.beats
15,061
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14
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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: if not array[key].startswith("https"): raise ValueError("key {}: {} must be an HTTPS URL".format(key, array[key])) if "?" in array[key] or "&" in array[key] or "#" in array[key]: raise ValueError("key {}: {} must not contain query or fragment components".format(key, array[key])) elif is_url: if not array[key].startswith("http"): raise ValueError("key {}: {} must be an URL".format(key, array[key])) elif is_list: if not isinstance(array[key], list): raise ValueError("key {}: {} must be an Array".format(key, array[key])) for elem in array[key]: if not isinstance(elem, unicode_type): raise ValueError("array {}: {} must contains only string (not {})".format(key, array[key], elem))
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7
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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.initial_claims = claims self.claims = self.validate_metadata_server()
15,063
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11
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"decorator_list": []}}], "type_ignores": []}}
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 flow is defined as a "grant type" but it is not # using the "token" endpoint, as such, we have to add it explicitly to # the list of "grant_types_supported" when enabled. if "token" in claims["response_types_supported"]: self._grant_types.append("implicit") self.validate_metadata(claims, "response_types_supported", is_required=True, is_list=True) self.validate_metadata(claims, "response_modes_supported", is_list=True) if "code" in claims["response_types_supported"]: code_grant = endpoint._response_types["code"] if not isinstance(code_grant, grant_types.AuthorizationCodeGrant) and hasattr(code_grant, "default_grant"): code_grant = code_grant.default_grant claims.setdefault("code_challenge_methods_supported", list(code_grant._code_challenge_methods.keys())) self.validate_metadata(claims, "code_challenge_methods_supported", is_list=True) self.validate_metadata(claims, "authorization_endpoint", is_required=True, is_url=True)
15,064
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{"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "row", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}}}, {"_type": "keyword", "_fields": {"arg": "column", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "keyword", "_fields": {"arg": "sticky", "value": {"_type": "Name", "_fields": {"id": "W", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Button", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "text", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "Generate"}}}}, {"_type": "keyword", "_fields": {"arg": "command", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "generateHeaders", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "generate_button", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "grid", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "generate_button", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "row", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 5}}}}, {"_type": "keyword", "_fields": {"arg": "column", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}}}], "name": "createWidgets", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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_value ) self.xml_entry.grid(row=0, column = 1) self.xml_button = Button (self, text="Browse", command=self.browseXMLFile) self.xml_button.grid(row=0, column = 2) #---------------------------------------- # Create the Out entry self.out_value = StringVar() self.out_label = Label( self, text="Out" ) self.out_label.grid(row=1,column = 0) self.out_entry = Entry( self, width = 26, textvariable=self.out_value ) self.out_entry.grid(row=1, column = 1) self.out_button = Button (self, text="Browse", command=self.browseOutDirectory) self.out_button.grid(row=1, column = 2) #---------------------------------------- # Create the Lang box self.language_value = StringVar() self.language_choices = mavgen.supportedLanguages self.language_label = Label( self, text="Language" ) self.language_label.grid(row=2, column=0) self.language_menu = OptionMenu(self,self.language_value,*self.language_choices) self.language_value.set(mavgen.DEFAULT_LANGUAGE) self.language_menu.config(width=10) self.language_menu.grid(row=2, column=1,sticky=W) #---------------------------------------- # Create the Protocol box self.protocol_value = StringVar() self.protocol_choices = [mavparse.PROTOCOL_0_9, mavparse.PROTOCOL_1_0] self.protocol_label = Label( self, text="Protocol") self.protocol_label.grid(row=3, column=0) self.protocol_menu = OptionMenu(self,self.protocol_value,*self.protocol_choices) self.protocol_value.set(mavgen.DEFAULT_WIRE_PROTOCOL) self.protocol_menu.config(width=10) self.protocol_menu.grid(row=3, column=1,sticky=W) #---------------------------------------- # Create the Validate box self.validate_value = BooleanVar() self.validate_label = Label( self, text="Validate") self.validate_label.grid(row=4, column=0) self.validate_button = Checkbutton(self, variable=self.validate_value, onvalue=True, offvalue=False) self.validate_value.set(mavgen.DEFAULT_VALIDATE) self.validate_button.config(width=10) self.validate_button.grid(row=4, column=1,sticky=W) #---------------------------------------- # Create the generate button self.generate_button = Button ( self, text="Generate", command=self.generateHeaders) self.generate_button.grid(row=5,column=1)
15,065
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12
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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 config: if phase_name.startswith('on_'): for items_name in config[phase_name]: if isinstance(config[phase_name][items_name], basestring): config[phase_name][items_name] = [config[phase_name][items_name]] return config
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12
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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(): tkinter.messagebox.showerror('Error Generating Headers', 'An output directory must be specified.') return if os.path.isdir(self.out_value.get()): if not tkinter.messagebox.askokcancel('Overwrite Headers?','The output directory \'{0}\' already exists. Headers may be overwritten if they already exist.'.format(self.out_value.get())): return # Generate headers opts = mavgen.Opts(self.out_value.get(), wire_protocol=self.protocol_value.get(), language=self.language_value.get(), validate=self.validate_value.get(), error_limit=error_limit); args = [self.xml_value.get()] try: mavgen.mavgen(opts,args) tkinter.messagebox.showinfo('Successfully Generated Headers', 'Headers generated successfully.') except Exception as ex: exStr = formatErrorMessage(str(ex)); tkinter.messagebox.showerror('Error Generating Headers','{0!s}'.format(exStr)) return
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10
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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 allow_background: r, w = (p.stdout, p.stdin) response = r.read().decode(io_encoding) r.close() w.close() if response: log.info('Stdout: %s', response.rstrip()) # rstrip to get rid of newlines return p.wait()
15,068
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"Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "render_from_task", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "cmd", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "phase cmd: %s"}}, "right": {"_type": "Name", "_fields": {"id": "cmd", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "debug", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Would execute: %s"}}, "right": {"_type": "Name", "_fields": {"id": "cmd", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "options", "value": {"_type": "Name", "_fields": {"id": "task", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cmd", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "allow_background", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "encoding"}}, "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute_cmd", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Error rendering `%s`: %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "cmd", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "error", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "RenderError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "phase"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "phase_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "cmd", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "phase"}}, "comparators": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "phase_name", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "config", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "name": "execute", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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_rejected': task.rejected, 'for_undecided': task.undecided, 'for_failed': task.failed} allow_background = config.get('allow_background') for operation, entries in name_map.items(): if operation not in config[phase_name]: continue log.debug('running phase_name: %s operation: %s entries: %s' % (phase_name, operation, len(entries))) for entry in entries: for cmd in config[phase_name][operation]: entrydict = EscapingEntry(entry) if config.get('auto_escape') else entry # Do string replacement from entry, but make sure quotes get escaped try: cmd = render_from_entry(cmd, entrydict) except RenderError as e: log.error('Could not set exec command for %s: %s' % (entry['title'], e)) # fail the entry if configured to do so if config.get('fail_entries'): entry.fail('Entry `%s` does not have required fields for string replacement.' % entry['title']) continue log.debug('phase_name: %s operation: %s cmd: %s' % (phase_name, operation, cmd)) if task.options.test: log.info('Would execute: %s' % cmd) else: # Make sure the command can be encoded into appropriate encoding, don't actually encode yet, # so logging continues to work. try: cmd.encode(config['encoding']) except UnicodeEncodeError: log.error('Unable to encode cmd `%s` to %s' % (cmd, config['encoding'])) if config.get('fail_entries'): entry.fail('cmd `%s` could not be encoded to %s.' % (cmd, config['encoding'])) continue # Run the command, fail entries with non-zero return code if configured to if (self.execute_cmd(cmd, allow_background, config['encoding']) != 0 and config.get('fail_entries')): entry.fail('exec return code was non-zero') # phase keyword in this if 'phase' in config[phase_name]: for cmd in config[phase_name]['phase']: try: cmd = render_from_task(cmd, task) except RenderError as e: log.error('Error rendering `%s`: %s' % (cmd, e)) else: log.debug('phase cmd: %s' % cmd) if task.options.test: log.info('Would execute: %s' % cmd) else: self.execute_cmd(cmd, allow_background, config['encoding'])
15,069
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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": []}}, "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": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "node"}}, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "node", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "draft"}}, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "BAD_REQUEST", "value": {"_type": "Name", "_fields": {"id": "http", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "HTTPError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "message_short"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "message_long"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "Not a draft of this node"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "This draft registration is not created from the given node."}}]}}}}]}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "branched_from", "value": {"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_id", "value": {"_type": "Name", "_fields": {"id": "node", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "func", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "wrapper", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "autoload_draft", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "must_be_valid_project", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "func", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wraps", "value": {"_type": "Name", "_fields": {"id": "functools", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "wrapper", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "must_be_branched_from_node", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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_REQUEST, data={ 'message_short': 'Not a draft of this node', 'message_long': 'This draft registration is not created from the given node.' } ) return func(*args, **kwargs) return wrapper
15,070
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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": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "node"}}, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "node", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "draft"}}, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "BAD_REQUEST", "value": {"_type": "Name", "_fields": {"id": "http", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "HTTPError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "message_short"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "message_long"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "Not a draft of this node"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "This draft registration is not created from the given node."}}]}}}}]}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_id", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "branched_from", "value": {"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_id", "value": {"_type": "Name", "_fields": {"id": "node", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Starred", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "func", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "wrapper", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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', 'message_long': 'This draft registration is not created from the given node.' } ) return func(*args, **kwargs)
15,071
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8
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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)
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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": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registered_node", "value": {"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_deleted", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registered_node", "value": {"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "registered_and_deleted", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FORBIDDEN", "value": {"_type": "Name", "_fields": {"id": "http", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "HTTPError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "message_short"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "message_long"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "This draft has already been registered"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "This draft has already been registered and cannot be modified."}}]}}}}]}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "registered_node", "value": {"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "registered_and_deleted", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FORBIDDEN", "value": {"_type": "Name", "_fields": {"id": "http", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "HTTPError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "message_short"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "message_long"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "This draft is pending review"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "This draft is pending review and cannot be modified."}}]}}}}]}}, "cause": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_pending_review", "value": {"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FORBIDDEN", "value": {"_type": "Name", "_fields": {"id": "http", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "HTTPError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data", "value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "message_short"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "message_long"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "This draft has already been approved"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "This draft has already been approved and cannot be modified."}}]}}}}]}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "requires_approval", "value": {"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_approved", "value": {"_type": "Name", "_fields": {"id": "draft", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "registered_and_deleted", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}], "name": "check_draft_state", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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_long': 'This draft has already been registered and cannot be modified.' }) if draft.is_pending_review: raise HTTPError(http.FORBIDDEN, data={ 'message_short': 'This draft is pending review', 'message_long': 'This draft is pending review and cannot be modified.' }) if draft.requires_approval and draft.is_approved and (not registered_and_deleted): raise HTTPError(http.FORBIDDEN, data={ 'message_short': 'This draft has already been approved', 'message_long': 'This draft has already been approved and cannot be modified.' })
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9
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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, transa=_as_trans_op(transa), transb=_as_trans_op(transb), out=out)
15,074
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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 if transa: m, k = k, m n = b.shape[1] if transb else b.shape[2] return cuda.cublas.cublasSgemmBatched( cuda.get_cublas_handle(), _as_trans_op(transb), _as_trans_op(transa), n, m, k, alpha, _mat_ptrs(b).gpudata, k if transb else n, _mat_ptrs(a).gpudata, m if transa else k, beta, _mat_ptrs(out).gpudata, n, l)
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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}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "shape", "value": {"_type": "Name", "_fields": {"id": "in_type", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtype", "value": {"_type": "Name", "_fields": {"id": "in_type", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TypeInfo", "value": {"_type": "Name", "_fields": {"id": "type_check", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s(1-D array)"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "in_type", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Variable", "value": {"_type": "Name", "_fields": {"id": "type_check", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "in_type", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "eval", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ndim", "value": {"_type": "Name", "_fields": {"id": "in_type", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "comparators": [{"_type": "Name", "_fields": {"id": "vector_ndim", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s(2-D array)"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "in_type", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "in_type", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "in_type", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_convert_type", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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 array)' % in_type.name return in_type
15,076
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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.dtype == numpy.float32, b_type.dtype == numpy.float32 ) _check_ndim(a_type) _check_ndim(b_type) a_type = _convert_type(a_type) b_type = _convert_type(b_type) a_idx = _get_check_index(self.transa, False) b_idx = _get_check_index(self.transb, True) type_check.expect( a_type.shape[a_idx] == b_type.shape[b_idx] ) def forward_cpu(self, x): return _matmul_cpu(x[0], x[1], transa=self.transa, transb=self.transb), def forward_gpu(self, x): return _matmul_gpu(x[0], x[1], transa=self.transa, transb=self.transb), 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 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
15,077
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11
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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
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9
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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 = _convert_type(a_type) b_type = _convert_type(b_type) a_idx = _get_check_index(self.transa, False) b_idx = _get_check_index(self.transb, True) type_check.expect( a_type.shape[a_idx] == b_type.shape[b_idx] )
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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_shape[1] if self.transa else a_mat_shape[0] n = b_mat_shape[0] if self.transb else b_mat_shape[1] return (batch_size, m, n) 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, lower=2, upper=3) a_type = _convert_type(a_type, vector_ndim=2) b_type = _convert_type(b_type, vector_ndim=2) a_idx = _get_check_index(self.transa, False, row_idx=1, col_idx=2) b_idx = _get_check_index(self.transb, True, row_idx=1, col_idx=2) type_check.expect( a_type.shape[a_idx] == b_type.shape[b_idx] ) 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( a[i], b[i], transa=self.transa, transb=self.transb) return ret, 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 ).reshape(a[0].shape) gb[i] = _matmul_cpu(a[i], gy[0][i], transa=not self.transa, transout=self.transb ).reshape(b[0].shape) return ga, gb def forward_gpu(self, x): a, b = x shape = self._output_shape(a, b) ret = cuda.empty(shape) _batch_matmul_gpu(a, b, transa=self.transa, transb=self.transb, out=ret) return ret, 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) _batch_matmul_gpu(a, gy[0], transa=not self.transa, transout=self.transb, out=gb) ga = ga.reshape(a.shape) gb = gb.reshape(b.shape) return ga, gb
15,080
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11
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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
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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, lower=2, upper=3) a_type = _convert_type(a_type, vector_ndim=2) b_type = _convert_type(b_type, vector_ndim=2) a_idx = _get_check_index(self.transa, False, row_idx=1, col_idx=2) b_idx = _get_check_index(self.transb, True, row_idx=1, col_idx=2) type_check.expect( a_type.shape[a_idx] == b_type.shape[b_idx] )
15,082
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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( a[i], b[i], transa=self.transa, transb=self.transb) return ret,
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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) _batch_matmul_gpu(a, gy[0], transa=not self.transa, transout=self.transb, out=gb) ga = ga.reshape(a.shape) gb = gb.reshape(b.shape) return ga, gb
15,084
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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 ).reshape(a[0].shape) gb[i] = _matmul_cpu(a[i], gy[0][i], transa=not self.transa, transout=self.transb ).reshape(b[0].shape) return ga, gb
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8
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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), **kwargs)
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10
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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.pdf * expr, domain_symbols, **kwargs)
15,087
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9
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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 = self.domain.set.start # CDF is integral of PDF from left bound to z cdf = integrate(d(x), (x, left_bound, z), **kwargs) # CDF Ensure that CDF left of left_bound is zero cdf = Piecewise((cdf, z >= left_bound), (0, True)) return Lambda(z, cdf)
15,088
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10
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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 randomsymbols) pdf = self.domain.integrate(self.pdf, symbols, **kwargs) return Lambda(expr.symbol, pdf) z = Dummy('z', real=True, bounded=True) return Lambda(z, self.integrate(DiracDelta(expr - z), **kwargs))
15,089
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10
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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) density = Lambda(domain.symbols, pdf) return ContinuousPSpace(domain, density)
15,090
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9
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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_inequalities_wrap(condition, rv) interval = interval.intersect(self.domain.set) return SingleContinuousDomain(rv.symbol, interval)
15,091
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10
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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=False, **kwargs) except: return Integral(expr * self.pdf, (x, self.set), **kwargs)
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11
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"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "solve", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "gs", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Can not solve %s for %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "expr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "value", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "func": 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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 for %s"%(expr, self.value)) fx = self.compute_density(self.value) fy = sum(fx(g) * abs(g.diff(y)) for g in gs) return Lambda(y, fy)
15,093
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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: args = job['args'] del kwargs['args'] futures.append(pool.apply_async(_safeRun, args=(job['callback'], args, kwargs))) for future in futures: future.wait(timeout=2 ** 31) for future in futures: future.get() finally: pool.close()
15,094
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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(0.31622776601683794) assert (mpf(10) ** -2.5).ae(0.0031622776601683794) assert (mpf(10) ** 0.3).ae(1.9952623149688795) assert (mpf(10) ** -0.3).ae(0.50118723362727224)
15,095
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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 = configuration.get('server') self.service = configuration.get('service') self.alive = False self.conn = None self.active_tablespaces = set()
15,096
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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": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "fedora-httpd.conf"}}, "targets": [{"_type": "Name", "_fields": {"id": "config_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_is_redhat_based", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "apache2-debian-httpd.conf"}}, "targets": [{"_type": "Name", "_fields": {"id": "config_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "layout_tests_dir", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "http"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "conf"}}, {"_type": "Name", "_fields": {"id": "config_name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_filesystem", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "name": "_path_to_apache_config_file", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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
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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": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "'cx_Oracle' package is needed to use oracledb module"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "error", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "HAS_ORACLE", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "one of these parameters is not specified: user, password, server, service"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "error", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "password", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "server", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "service", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "all", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "connect", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_data", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "bool", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "check", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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 parameters is not specified: user, password, server, service") return False if not self.connect(): return False return bool(self.get_data())
15,098
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9
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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, self.service, )) except cx_Oracle.DatabaseError as error: self.error(error) return False self.alive = True return True
15,099
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9
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"allocated_usage"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "charts", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "{0}_allocated_used_in_percent"}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "absolute"}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1000}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_dimension", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "allocated_usage_in_percent"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "charts", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}], "name": "add_tablespace_to_charts", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
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_dimension( [ '{0}_tablespace_used'.format(name), name, 'absolute', 1, 1024 * 1000, ]) self.charts['tablespace_usage_in_percent'].add_dimension( [ '{0}_tablespace_used_in_percent'.format(name), name, 'absolute', 1, 1000, ]) self.charts['allocated_size'].add_dimension( [ '{0}_allocated_size'.format(name), name, 'absolute', 1, 1000, ]) self.charts['allocated_usage'].add_dimension( [ '{0}_allocated_used'.format(name), name, 'absolute', 1, 1000, ]) self.charts['allocated_usage_in_percent'].add_dimension( [ '{0}_allocated_used_in_percent'.format(name), name, 'absolute', 1, 1000, ])
15,100
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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 None else: for name, value in rv: if name not in SYS_METRICS: continue data[SYS_METRICS[name]] = int(float(value) * 1000) # ACTIVITIES COUNT try: rv = self.gather_activities_count() except cx_Oracle.Error as error: self.error(error) self.alive = False return None else: for name, amount in rv: cleaned = name.replace(' ', '_').replace('(', '').replace(')', '') new_name = 'activity_{0}'.format(cleaned) data[new_name] = int(float(amount) * 1000) # WAIT TIME try: rv = self.gather_wait_time_metrics() except cx_Oracle.Error as error: self.error(error) self.alive = False return None else: for name, amount in rv: cleaned = name.replace(' ', '_').replace('/', '').lower() new_name = 'wait_time_{0}'.format(cleaned) data[new_name] = amount # TABLESPACE try: rv = self.gather_tablespace_metrics() except cx_Oracle.Error as error: self.error(error) self.alive = False return None else: for name, offline, size, used, used_in_percent in rv: # TODO: skip offline? if not (not offline and self.charts): continue # TODO: remove inactive? if name not in self.active_tablespaces: self.active_tablespaces.add(name) self.add_tablespace_to_charts(name) data['{0}_tablespace_size'.format(name)] = int(size * 1000) data['{0}_tablespace_used'.format(name)] = int(used * 1000) data['{0}_tablespace_used_in_percent'.format(name)] = int(used_in_percent * 1000) # ALLOCATED SPACE try: rv = self.gather_allocated_metrics() except cx_Oracle.Error as error: self.error(error) self.alive = False return None else: for name, offline, size, used, used_in_percent in rv: # TODO: skip offline? if not (not offline and self.charts): continue # TODO: remove inactive? if name not in self.active_tablespaces: self.active_tablespaces.add(name) self.add_tablespace_to_charts(name) data['{0}_allocated_size'.format(name)] = int(size * 1000) data['{0}_allocated_used'.format(name)] = int(used * 1000) data['{0}_allocated_used_in_percent'.format(name)] = int(used_in_percent * 1000) return data or None