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9a10cb58e2a7df28a86f014d35ca80f33cf838be
JennySnyk/msticpy
msticpy/sectools/tiproviders/ti_provider_base.py
[ "MIT" ]
Python
supported_types
List[str]
def supported_types(self) -> List[str]: """ Return list of supported IoC types for this provider. Returns ------- List[str] List of supported type names """ return [ioc.name for ioc in self._supported_types]
Return list of supported IoC types for this provider. Returns ------- List[str] List of supported type names
Return list of supported IoC types for this provider. Returns List[str] List of supported type names
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def supported_types(self) -> List[str]: return [ioc.name for ioc in self._supported_types]
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Return list of supported IoC types for this provider.
[ "Return", "list", "of", "supported", "IoC", "types", "for", "this", "provider", "." ]
[ "\"\"\"\n Return list of supported IoC types for this provider.\n\n Returns\n -------\n List[str]\n List of supported type names\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
9a10cb58e2a7df28a86f014d35ca80f33cf838be
JennySnyk/msticpy
msticpy/sectools/tiproviders/ti_provider_base.py
[ "MIT" ]
Python
ioc_query_defs
Dict[str, Any]
def ioc_query_defs(self) -> Dict[str, Any]: """ Return current dictionary of IoC query/request definitions. Returns ------- Dict[str, Any] IoC query/requist definitions keyed by IoCType """ return self._IOC_QUERIES
Return current dictionary of IoC query/request definitions. Returns ------- Dict[str, Any] IoC query/requist definitions keyed by IoCType
Return current dictionary of IoC query/request definitions. Returns Dict[str, Any] IoC query/requist definitions keyed by IoCType
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def ioc_query_defs(self) -> Dict[str, Any]: return self._IOC_QUERIES
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Return current dictionary of IoC query/request definitions.
[ "Return", "current", "dictionary", "of", "IoC", "query", "/", "request", "definitions", "." ]
[ "\"\"\"\n Return current dictionary of IoC query/request definitions.\n\n Returns\n -------\n Dict[str, Any]\n IoC query/requist definitions keyed by IoCType\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
9a10cb58e2a7df28a86f014d35ca80f33cf838be
JennySnyk/msticpy
msticpy/sectools/tiproviders/ti_provider_base.py
[ "MIT" ]
Python
preprocess_observable
SanitizedObservable
def preprocess_observable( observable, ioc_type, require_url_encoding: bool = False ) -> SanitizedObservable: """ Preprocesses and checks validity of observable against declared IoC type. :param observable: the value of the IoC :param ioc_type: the IoC type """ observable = observab...
Preprocesses and checks validity of observable against declared IoC type. :param observable: the value of the IoC :param ioc_type: the IoC type
Preprocesses and checks validity of observable against declared IoC type. :param observable: the value of the IoC :param ioc_type: the IoC type
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def preprocess_observable( observable, ioc_type, require_url_encoding: bool = False ) -> SanitizedObservable: observable = observable.strip() try: validated = _IOC_EXTRACT.validate(observable, ioc_type) except KeyError: validated = False if not validated: return SanitizedObse...
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Preprocesses and checks validity of observable against declared IoC type.
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[ "\"\"\"\n Preprocesses and checks validity of observable against declared IoC type.\n\n :param observable: the value of the IoC\n :param ioc_type: the IoC type\n \"\"\"" ]
[ { "param": "observable", "type": null }, { "param": "ioc_type", "type": null }, { "param": "require_url_encoding", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "observable", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ioc_type", "type": null, "docstring": null, "docstring_...
9a10cb58e2a7df28a86f014d35ca80f33cf838be
JennySnyk/msticpy
msticpy/sectools/tiproviders/ti_provider_base.py
[ "MIT" ]
Python
_clean_url
Optional[str]
def _clean_url(url: str) -> Optional[str]: """ Clean URL to remove query params and fragments and any trailing stuff. Parameters ---------- url : str the URL to check Returns ------- Optional[str] Cleaned URL or None if the input was not a valid URL """ # Try t...
Clean URL to remove query params and fragments and any trailing stuff. Parameters ---------- url : str the URL to check Returns ------- Optional[str] Cleaned URL or None if the input was not a valid URL
Clean URL to remove query params and fragments and any trailing stuff. Parameters url : str the URL to check Returns Optional[str] Cleaned URL or None if the input was not a valid URL
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def _clean_url(url: str) -> Optional[str]: match_url = _HTTP_STRICT_RGXC.search(url) if ( not match_url or match_url.groupdict()["protocol"] is None or match_url.groupdict()["host"] is None ): return None clean_url = match_url.groupdict()["protocol"] if match_url.grou...
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Clean URL to remove query params and fragments and any trailing stuff.
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[ "\"\"\"\n Clean URL to remove query params and fragments and any trailing stuff.\n\n Parameters\n ----------\n url : str\n the URL to check\n\n Returns\n -------\n Optional[str]\n Cleaned URL or None if the input was not a valid URL\n\n \"\"\"", "# Try to clean URL and re-che...
[ { "param": "url", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "url", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
9a10cb58e2a7df28a86f014d35ca80f33cf838be
JennySnyk/msticpy
msticpy/sectools/tiproviders/ti_provider_base.py
[ "MIT" ]
Python
_preprocess_ip
<not_specific>
def _preprocess_ip(ipaddress: str, version=4): """Ensure Ip address is a valid public IPv4 address.""" try: addr = ip_address(ipaddress) except ValueError: return SanitizedObservable(None, "IP address is invalid format") if version == 4 and not isinstance(addr, IPv4Address): ret...
Ensure Ip address is a valid public IPv4 address.
Ensure Ip address is a valid public IPv4 address.
[ "Ensure", "Ip", "address", "is", "a", "valid", "public", "IPv4", "address", "." ]
def _preprocess_ip(ipaddress: str, version=4): try: addr = ip_address(ipaddress) except ValueError: return SanitizedObservable(None, "IP address is invalid format") if version == 4 and not isinstance(addr, IPv4Address): return SanitizedObservable(None, "Not an IPv4 address") if v...
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Ensure Ip address is a valid public IPv4 address.
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[ "\"\"\"Ensure Ip address is a valid public IPv4 address.\"\"\"" ]
[ { "param": "ipaddress", "type": "str" }, { "param": "version", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "ipaddress", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "version", "type": null, "docstring": null, "docstring_t...
9a10cb58e2a7df28a86f014d35ca80f33cf838be
JennySnyk/msticpy
msticpy/sectools/tiproviders/ti_provider_base.py
[ "MIT" ]
Python
_preprocess_dns
SanitizedObservable
def _preprocess_dns(domain: str) -> SanitizedObservable: """Ensure DNS is a valid-looking domain.""" if "." not in domain: return SanitizedObservable(None, "Domain is unqualified domain name") try: addr = ip_address(domain) del addr return SanitizedObservable(None, "Domain is...
Ensure DNS is a valid-looking domain.
Ensure DNS is a valid-looking domain.
[ "Ensure", "DNS", "is", "a", "valid", "-", "looking", "domain", "." ]
def _preprocess_dns(domain: str) -> SanitizedObservable: if "." not in domain: return SanitizedObservable(None, "Domain is unqualified domain name") try: addr = ip_address(domain) del addr return SanitizedObservable(None, "Domain is an IP address") except ValueError: ...
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Ensure DNS is a valid-looking domain.
[ "Ensure", "DNS", "is", "a", "valid", "-", "looking", "domain", "." ]
[ "\"\"\"Ensure DNS is a valid-looking domain.\"\"\"" ]
[ { "param": "domain", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "domain", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
9a10cb58e2a7df28a86f014d35ca80f33cf838be
JennySnyk/msticpy
msticpy/sectools/tiproviders/ti_provider_base.py
[ "MIT" ]
Python
_preprocess_hash
SanitizedObservable
def _preprocess_hash(hash_str: str) -> SanitizedObservable: """Ensure Hash has minimum entropy (rather than a string of 'x').""" str_entropy = entropy(hash_str) if str_entropy < 3.0: return SanitizedObservable(None, "String has too low an entropy to be a hash") return SanitizedObservable(hash_st...
Ensure Hash has minimum entropy (rather than a string of 'x').
Ensure Hash has minimum entropy (rather than a string of 'x').
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def _preprocess_hash(hash_str: str) -> SanitizedObservable: str_entropy = entropy(hash_str) if str_entropy < 3.0: return SanitizedObservable(None, "String has too low an entropy to be a hash") return SanitizedObservable(hash_str, "ok")
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Ensure Hash has minimum entropy (rather than a string of 'x').
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[ "\"\"\"Ensure Hash has minimum entropy (rather than a string of 'x').\"\"\"" ]
[ { "param": "hash_str", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "hash_str", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
9a10cb58e2a7df28a86f014d35ca80f33cf838be
JennySnyk/msticpy
msticpy/sectools/tiproviders/ti_provider_base.py
[ "MIT" ]
Python
entropy
float
def entropy(input_str: str) -> float: """Compute entropy of input string.""" str_len = float(len(input_str)) return -sum( map( lambda a: (a / str_len) * math.log2(a / str_len), Counter(input_str).values(), ) )
Compute entropy of input string.
Compute entropy of input string.
[ "Compute", "entropy", "of", "input", "string", "." ]
def entropy(input_str: str) -> float: str_len = float(len(input_str)) return -sum( map( lambda a: (a / str_len) * math.log2(a / str_len), Counter(input_str).values(), ) )
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Compute entropy of input string.
[ "Compute", "entropy", "of", "input", "string", "." ]
[ "\"\"\"Compute entropy of input string.\"\"\"" ]
[ { "param": "input_str", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "input_str", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
check_versions
<not_specific>
def check_versions( min_py_ver: Union[str, Tuple] = MIN_PYTHON_VER_DEF, min_mp_ver: Union[str, Tuple] = MSTICPY_REQ_VERSION, extras: Optional[List[str]] = None, mp_release: Optional[str] = None, **kwargs, ): """ Check the current versions of the Python kernel and MSTICPy. Parameters ...
Check the current versions of the Python kernel and MSTICPy. Parameters ---------- min_py_ver : Union[Tuple[int, int], str] Minimum Python version min_mp_ver : Union[Tuple[int, int], str] Minimum MSTICPy version extras : Optional[List[str]], optional A list of extras re...
Check the current versions of the Python kernel and MSTICPy. Parameters Raises RuntimeError If the Python version does not support the notebook. If the MSTICPy version does not support the notebook and the user chose not to upgrade
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def check_versions( min_py_ver: Union[str, Tuple] = MIN_PYTHON_VER_DEF, min_mp_ver: Union[str, Tuple] = MSTICPY_REQ_VERSION, extras: Optional[List[str]] = None, mp_release: Optional[str] = None, **kwargs, ): del kwargs _disp_html("<h4>Starting notebook pre-checks...</h4>") if isinstance(...
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Check the current versions of the Python kernel and MSTICPy.
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[ "\"\"\"\n Check the current versions of the Python kernel and MSTICPy.\n\n Parameters\n ----------\n min_py_ver : Union[Tuple[int, int], str]\n Minimum Python version\n min_mp_ver : Union[Tuple[int, int], str]\n Minimum MSTICPy version\n extras : Optional[List[str]], optional\n ...
[ { "param": "min_py_ver", "type": "Union[str, Tuple]" }, { "param": "min_mp_ver", "type": "Union[str, Tuple]" }, { "param": "extras", "type": "Optional[List[str]]" }, { "param": "mp_release", "type": "Optional[str]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "min_py_ver", "type": "Union[str, Tuple]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "min_mp_ver", "type": "Union[str, Tuple]", "doc...
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
_check_mp_install
null
def _check_mp_install( min_mp_ver: Union[str, Tuple], mp_release: Optional[str], extras: Optional[List[str]], ): """Check for and try to install required MSTICPy version.""" # Use the release ver specified in params, in the environment or # the notebook default. pkg_version = _get_pkg_versio...
Check for and try to install required MSTICPy version.
Check for and try to install required MSTICPy version.
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def _check_mp_install( min_mp_ver: Union[str, Tuple], mp_release: Optional[str], extras: Optional[List[str]], ): pkg_version = _get_pkg_version(min_mp_ver) mp_install_version = mp_release or os.environ.get("MP_TEST_VER") or str(pkg_version) check_mp_ver(min_msticpy_ver=mp_install_version, extras...
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Check for and try to install required MSTICPy version.
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[ "\"\"\"Check for and try to install required MSTICPy version.\"\"\"", "# Use the release ver specified in params, in the environment or", "# the notebook default." ]
[ { "param": "min_mp_ver", "type": "Union[str, Tuple]" }, { "param": "mp_release", "type": "Optional[str]" }, { "param": "extras", "type": "Optional[List[str]]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "min_mp_ver", "type": "Union[str, Tuple]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "mp_release", "type": "Optional[str]", "docstri...
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
check_mp_ver
null
def check_mp_ver(min_msticpy_ver: Union[str, Tuple], extras: Optional[List[str]]): """ Check and optionally update the current version of msticpy. Parameters ---------- min_msticpy_ver : Tuple[int, int] Minimum MSTICPy version extras : Optional[List[str]], optional A list of ext...
Check and optionally update the current version of msticpy. Parameters ---------- min_msticpy_ver : Tuple[int, int] Minimum MSTICPy version extras : Optional[List[str]], optional A list of extras required for MSTICPy Raises ------ ImportError If MSTICPy version...
Check and optionally update the current version of msticpy. Parameters min_msticpy_ver : Tuple[int, int] Minimum MSTICPy version extras : Optional[List[str]], optional A list of extras required for MSTICPy Raises ImportError If MSTICPy version is insufficient and we need to upgrade
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def check_mp_ver(min_msticpy_ver: Union[str, Tuple], extras: Optional[List[str]]): mp_min_pkg_ver = _get_pkg_version(min_msticpy_ver) _disp_html("Checking msticpy version...<br>") inst_version = _get_pkg_version(__version__) if inst_version < mp_min_pkg_ver: _disp_html( MISSING_PKG_E...
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Check and optionally update the current version of msticpy.
[ "Check", "and", "optionally", "update", "the", "current", "version", "of", "msticpy", "." ]
[ "\"\"\"\n Check and optionally update the current version of msticpy.\n\n Parameters\n ----------\n min_msticpy_ver : Tuple[int, int]\n Minimum MSTICPy version\n extras : Optional[List[str]], optional\n A list of extras required for MSTICPy\n\n Raises\n ------\n ImportError\n ...
[ { "param": "min_msticpy_ver", "type": "Union[str, Tuple]" }, { "param": "extras", "type": "Optional[List[str]]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "min_msticpy_ver", "type": "Union[str, Tuple]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "extras", "type": "Optional[List[str]]", "...
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
_set_kql_env_vars
null
def _set_kql_env_vars(extras: Optional[List[str]]): """Set environment variables for Kqlmagic based on MP extras.""" jp_extended = ("azsentinel", "azuresentinel", "kql") if extras and any(extra for extra in extras if extra in jp_extended): os.environ["KQLMAGIC_EXTRAS_REQUIRE"] = "jupyter-extended" ...
Set environment variables for Kqlmagic based on MP extras.
Set environment variables for Kqlmagic based on MP extras.
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def _set_kql_env_vars(extras: Optional[List[str]]): jp_extended = ("azsentinel", "azuresentinel", "kql") if extras and any(extra for extra in extras if extra in jp_extended): os.environ["KQLMAGIC_EXTRAS_REQUIRE"] = "jupyter-extended" else: os.environ["KQLMAGIC_EXTRAS_REQUIRE"] = "jupyter-bas...
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Set environment variables for Kqlmagic based on MP extras.
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[ "\"\"\"Set environment variables for Kqlmagic based on MP extras.\"\"\"" ]
[ { "param": "extras", "type": "Optional[List[str]]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "extras", "type": "Optional[List[str]]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
_get_pkg_version
Any
def _get_pkg_version(version: Union[str, Tuple]) -> Any: """Return pkg_resources parsed version from string or tuple.""" if isinstance(version, str): return parse_version(version) if isinstance(version, tuple): return parse_version(".".join(str(ver) for ver in version)) raise TypeError(f...
Return pkg_resources parsed version from string or tuple.
Return pkg_resources parsed version from string or tuple.
[ "Return", "pkg_resources", "parsed", "version", "from", "string", "or", "tuple", "." ]
def _get_pkg_version(version: Union[str, Tuple]) -> Any: if isinstance(version, str): return parse_version(version) if isinstance(version, tuple): return parse_version(".".join(str(ver) for ver in version)) raise TypeError(f"Unparseable type version {version}")
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Return pkg_resources parsed version from string or tuple.
[ "Return", "pkg_resources", "parsed", "version", "from", "string", "or", "tuple", "." ]
[ "\"\"\"Return pkg_resources parsed version from string or tuple.\"\"\"" ]
[ { "param": "version", "type": "Union[str, Tuple]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "version", "type": "Union[str, Tuple]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
_set_mpconfig_var
<not_specific>
def _set_mpconfig_var(): """Set MSTICPYCONFIG to file in user directory if no other found.""" mp_path_val = os.environ.get(MP_ENV_VAR) if ( # If a valid MSTICPYCONFIG value is found - return (mp_path_val and Path(mp_path_val).is_file()) # Or if there is a msticpconfig in the current ...
Set MSTICPYCONFIG to file in user directory if no other found.
Set MSTICPYCONFIG to file in user directory if no other found.
[ "Set", "MSTICPYCONFIG", "to", "file", "in", "user", "directory", "if", "no", "other", "found", "." ]
def _set_mpconfig_var(): mp_path_val = os.environ.get(MP_ENV_VAR) if ( (mp_path_val and Path(mp_path_val).is_file()) or Path(".").joinpath(MP_FILE).is_file() ): return user_dir = get_aml_user_folder() mp_path = Path(user_dir).joinpath(MP_FILE) if mp_path.is_file(): ...
[ "def", "_set_mpconfig_var", "(", ")", ":", "mp_path_val", "=", "os", ".", "environ", ".", "get", "(", "MP_ENV_VAR", ")", "if", "(", "(", "mp_path_val", "and", "Path", "(", "mp_path_val", ")", ".", "is_file", "(", ")", ")", "or", "Path", "(", "\".\"", ...
Set MSTICPYCONFIG to file in user directory if no other found.
[ "Set", "MSTICPYCONFIG", "to", "file", "in", "user", "directory", "if", "no", "other", "found", "." ]
[ "\"\"\"Set MSTICPYCONFIG to file in user directory if no other found.\"\"\"", "# If a valid MSTICPYCONFIG value is found - return", "# Or if there is a msticpconfig in the current folder.", "# Otherwise check the user's root folder", "# If there's a file there, set the env variable to that.", "# Since we ...
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
_get_vm_metadata
Mapping[str, Any]
def _get_vm_metadata() -> Mapping[str, Any]: """Use local request to get VM metadata.""" vm_uri = "http://169.254.169.254/metadata/instance?api-version=2017-08-01" req = urllib.request.Request(vm_uri) req.add_header("Metadata", "true") # Bandit warning on urlopen - Fixed private URL with urllib...
Use local request to get VM metadata.
Use local request to get VM metadata.
[ "Use", "local", "request", "to", "get", "VM", "metadata", "." ]
def _get_vm_metadata() -> Mapping[str, Any]: vm_uri = "http://169.254.169.254/metadata/instance?api-version=2017-08-01" req = urllib.request.Request(vm_uri) req.add_header("Metadata", "true") with urllib.request.urlopen(req) as resp: metadata = json.loads(resp.read()) return metadata if is...
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Use local request to get VM metadata.
[ "Use", "local", "request", "to", "get", "VM", "metadata", "." ]
[ "\"\"\"Use local request to get VM metadata.\"\"\"", "# Bandit warning on urlopen - Fixed private URL", "# nosec" ]
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
_get_vm_fqdn
str
def _get_vm_fqdn() -> str: """Get the FQDN of the host.""" az_region = _get_vm_metadata().get("compute", {}).get("location") return ".".join( [ socket.gethostname(), az_region, "instances.azureml.ms", ] if az_region else "" )
Get the FQDN of the host.
Get the FQDN of the host.
[ "Get", "the", "FQDN", "of", "the", "host", "." ]
def _get_vm_fqdn() -> str: az_region = _get_vm_metadata().get("compute", {}).get("location") return ".".join( [ socket.gethostname(), az_region, "instances.azureml.ms", ] if az_region else "" )
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Get the FQDN of the host.
[ "Get", "the", "FQDN", "of", "the", "host", "." ]
[ "\"\"\"Get the FQDN of the host.\"\"\"" ]
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
_check_kql_prereqs
<not_specific>
def _check_kql_prereqs(): """ Check and install packages for Kqlmagic/msal_extensions. Notes ----- Kqlmagic may trigger warnings about a missing PyGObject package and some system library dependencies. To fix this do the following:<br> From a notebook run: %pip uninstall enum34 ...
Check and install packages for Kqlmagic/msal_extensions. Notes ----- Kqlmagic may trigger warnings about a missing PyGObject package and some system library dependencies. To fix this do the following:<br> From a notebook run: %pip uninstall enum34 !sudo apt-get --yes insta...
Check and install packages for Kqlmagic/msal_extensions. Notes Kqlmagic may trigger warnings about a missing PyGObject package and some system library dependencies. To fix this do the following: From a notebook run. You can also do this from a terminal - but ensure that you've activated the environment correspondin...
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def _check_kql_prereqs(): if not is_in_aml(): return try: import gi del gi except ImportError: ip_shell = get_ipython() if not ip_shell: return apt_list = ip_shell.run_line_magic("sx", "apt list") apt_list = [apt.split("/", maxsplit=1)[0] f...
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Check and install packages for Kqlmagic/msal_extensions.
[ "Check", "and", "install", "packages", "for", "Kqlmagic", "/", "msal_extensions", "." ]
[ "\"\"\"\n Check and install packages for Kqlmagic/msal_extensions.\n\n Notes\n -----\n Kqlmagic may trigger warnings about a missing PyGObject package\n and some system library dependencies. To fix this do the\n following:<br>\n From a notebook run:\n\n %pip uninstall enum34\n !su...
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
5b3bf88ea440a5fca5a284c695816174a094aa3a
JennySnyk/msticpy
msticpy/nbtools/azure_ml_tools.py
[ "MIT" ]
Python
_check_nb_check_ver
<not_specific>
def _check_nb_check_ver(): """Check the version of nb_check and optionally update.""" nb_check_path = "utils/nb_check.py" gh_file = "" curr_file = "" try: # Bandit warning - fixed https URL with request.urlopen(NB_CHECK_URI) as gh_fh: # nosec gh_file = gh_fh.read().decod...
Check the version of nb_check and optionally update.
Check the version of nb_check and optionally update.
[ "Check", "the", "version", "of", "nb_check", "and", "optionally", "update", "." ]
def _check_nb_check_ver(): nb_check_path = "utils/nb_check.py" gh_file = "" curr_file = "" try: with request.urlopen(NB_CHECK_URI) as gh_fh: gh_file = gh_fh.read().decode("utf-8") except Exception: _disp_html(f"Warning could not check version of {NB_CHECK_URI}") ...
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Check the version of nb_check and optionally update.
[ "Check", "the", "version", "of", "nb_check", "and", "optionally", "update", "." ]
[ "\"\"\"Check the version of nb_check and optionally update.\"\"\"", "# Bandit warning - fixed https URL", "# nosec" ]
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
52e903855f834697cc7e226699406e85d364591c
JennySnyk/msticpy
msticpy/datamodel/pivot.py
[ "MIT" ]
Python
reload_pivots
null
def reload_pivots( self, namespace: Dict[str, Any] = None, providers: Iterable[Any] = None, clear_existing: bool = True, ): """ Load or reload Pivot functions from environment and/or providers list. Parameters ---------- namespace : Dict[str, ...
Load or reload Pivot functions from environment and/or providers list. Parameters ---------- namespace : Dict[str, Any], optional To search for and use any current providers, specify `namespace=globals()`, by default None providers : Iterable[Any], optio...
Load or reload Pivot functions from environment and/or providers list. Parameters namespace : Dict[str, Any], optional To search for and use any current providers, specify `namespace=globals()`, by default None providers : Iterable[Any], optional A list of query providers, TILookup or other providers to use (these wil...
[ "Load", "or", "reload", "Pivot", "functions", "from", "environment", "and", "/", "or", "providers", "list", ".", "Parameters", "namespace", ":", "Dict", "[", "str", "Any", "]", "optional", "To", "search", "for", "and", "use", "any", "current", "providers", ...
def reload_pivots( self, namespace: Dict[str, Any] = None, providers: Iterable[Any] = None, clear_existing: bool = True, ): if clear_existing: self.remove_pivot_funcs(entity="all") self._get_all_providers(namespace, providers) data_provs = ( ...
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Load or reload Pivot functions from environment and/or providers list.
[ "Load", "or", "reload", "Pivot", "functions", "from", "environment", "and", "/", "or", "providers", "list", "." ]
[ "\"\"\"\n Load or reload Pivot functions from environment and/or providers list.\n\n Parameters\n ----------\n namespace : Dict[str, Any], optional\n To search for and use any current providers, specify\n `namespace=globals()`, by default None\n providers : I...
[ { "param": "self", "type": null }, { "param": "namespace", "type": "Dict[str, Any]" }, { "param": "providers", "type": "Iterable[Any]" }, { "param": "clear_existing", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "namespace", "type": "Dict[str, Any]", "docstring": null, "doc...
52e903855f834697cc7e226699406e85d364591c
JennySnyk/msticpy
msticpy/datamodel/pivot.py
[ "MIT" ]
Python
remove_pivot_funcs
null
def remove_pivot_funcs(entity: str): """ Remove pivot functions from one or all entities. Parameters ---------- entity : str entity class name or "all" to remove all pivot functions. Raises ------ ValueError If entity is not a rec...
Remove pivot functions from one or all entities. Parameters ---------- entity : str entity class name or "all" to remove all pivot functions. Raises ------ ValueError If entity is not a recognized entity class.
Remove pivot functions from one or all entities. Parameters entity : str entity class name or "all" to remove all pivot functions. Raises ValueError If entity is not a recognized entity class.
[ "Remove", "pivot", "functions", "from", "one", "or", "all", "entities", ".", "Parameters", "entity", ":", "str", "entity", "class", "name", "or", "\"", "all", "\"", "to", "remove", "all", "pivot", "functions", ".", "Raises", "ValueError", "If", "entity", "...
def remove_pivot_funcs(entity: str): all_entities = dir(entities) if entity != "all": if entity not in all_entities: raise ValueError(f"Entity name '{entity}' not found.") entity_names = [entity] else: entity_names = all_entities for en...
[ "def", "remove_pivot_funcs", "(", "entity", ":", "str", ")", ":", "all_entities", "=", "dir", "(", "entities", ")", "if", "entity", "!=", "\"all\"", ":", "if", "entity", "not", "in", "all_entities", ":", "raise", "ValueError", "(", "f\"Entity name '{entity}' n...
Remove pivot functions from one or all entities.
[ "Remove", "pivot", "functions", "from", "one", "or", "all", "entities", "." ]
[ "\"\"\"\n Remove pivot functions from one or all entities.\n\n Parameters\n ----------\n entity : str\n entity class name or \"all\" to remove all pivot functions.\n\n Raises\n ------\n ValueError\n If entity is not a recognized entity class.\n\...
[ { "param": "entity", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "entity", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
e193a1fc675095ae865a04e401f4c427837872b4
JennySnyk/msticpy
msticpy/data/drivers/mordor_driver.py
[ "MIT" ]
Python
query_with_results
Tuple[pd.DataFrame, Any]
def query_with_results(self, query: str, **kwargs) -> Tuple[pd.DataFrame, Any]: """ Execute query string and return DataFrame plus native results. Parameters ---------- query : str The query to execute Returns ------- Tuple[pd.DataFrame,Any] ...
Execute query string and return DataFrame plus native results. Parameters ---------- query : str The query to execute Returns ------- Tuple[pd.DataFrame,Any] A DataFrame and native results.
Execute query string and return DataFrame plus native results. Parameters query : str The query to execute Returns
[ "Execute", "query", "string", "and", "return", "DataFrame", "plus", "native", "results", ".", "Parameters", "query", ":", "str", "The", "query", "to", "execute", "Returns" ]
def query_with_results(self, query: str, **kwargs) -> Tuple[pd.DataFrame, Any]: result = self.query(query, **kwargs) if isinstance(result, pd.DataFrame): return result, "OK" return pd.DataFrame, result
[ "def", "query_with_results", "(", "self", ",", "query", ":", "str", ",", "**", "kwargs", ")", "->", "Tuple", "[", "pd", ".", "DataFrame", ",", "Any", "]", ":", "result", "=", "self", ".", "query", "(", "query", ",", "**", "kwargs", ")", "if", "isin...
Execute query string and return DataFrame plus native results.
[ "Execute", "query", "string", "and", "return", "DataFrame", "plus", "native", "results", "." ]
[ "\"\"\"\n Execute query string and return DataFrame plus native results.\n\n Parameters\n ----------\n query : str\n The query to execute\n\n Returns\n -------\n Tuple[pd.DataFrame,Any]\n A DataFrame and native results.\n\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "query", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "query", "type": "str", "docstring": null, "docstring_tokens":...
e193a1fc675095ae865a04e401f4c427837872b4
JennySnyk/msticpy
msticpy/data/drivers/mordor_driver.py
[ "MIT" ]
Python
driver_queries
Iterable[Dict[str, Any]]
def driver_queries(self) -> Iterable[Dict[str, Any]]: """ Return generator of Mordor query definitions. Yields ------ Iterable[Dict[str, Any]] Iterable of Dictionaries containing query definitions. """ if not self._connected: raise self._...
Return generator of Mordor query definitions. Yields ------ Iterable[Dict[str, Any]] Iterable of Dictionaries containing query definitions.
Return generator of Mordor query definitions. Yields Iterable[Dict[str, Any]] Iterable of Dictionaries containing query definitions.
[ "Return", "generator", "of", "Mordor", "query", "definitions", ".", "Yields", "Iterable", "[", "Dict", "[", "str", "Any", "]]", "Iterable", "of", "Dictionaries", "containing", "query", "definitions", "." ]
def driver_queries(self) -> Iterable[Dict[str, Any]]: if not self._connected: raise self._create_not_connected_err() if not self._driver_queries: self._driver_queries = list(self._get_driver_queries()) return self._driver_queries
[ "def", "driver_queries", "(", "self", ")", "->", "Iterable", "[", "Dict", "[", "str", ",", "Any", "]", "]", ":", "if", "not", "self", ".", "_connected", ":", "raise", "self", ".", "_create_not_connected_err", "(", ")", "if", "not", "self", ".", "_drive...
Return generator of Mordor query definitions.
[ "Return", "generator", "of", "Mordor", "query", "definitions", "." ]
[ "\"\"\"\n Return generator of Mordor query definitions.\n\n Yields\n ------\n Iterable[Dict[str, Any]]\n Iterable of Dictionaries containing query definitions.\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
e193a1fc675095ae865a04e401f4c427837872b4
JennySnyk/msticpy
msticpy/data/drivers/mordor_driver.py
[ "MIT" ]
Python
_get_driver_queries
null
def _get_driver_queries(self): """Generate iterable of Mordor queries.""" for mdr_item in self.mordor_data.values(): for file_path in mdr_item.get_file_paths(): mitre_data = mdr_item.get_attacks() techniques = ", ".join( f"{att.technique}: ...
Generate iterable of Mordor queries.
Generate iterable of Mordor queries.
[ "Generate", "iterable", "of", "Mordor", "queries", "." ]
def _get_driver_queries(self): for mdr_item in self.mordor_data.values(): for file_path in mdr_item.get_file_paths(): mitre_data = mdr_item.get_attacks() techniques = ", ".join( f"{att.technique}: {att.technique_name}" for att in mitre_data ...
[ "def", "_get_driver_queries", "(", "self", ")", ":", "for", "mdr_item", "in", "self", ".", "mordor_data", ".", "values", "(", ")", ":", "for", "file_path", "in", "mdr_item", ".", "get_file_paths", "(", ")", ":", "mitre_data", "=", "mdr_item", ".", "get_att...
Generate iterable of Mordor queries.
[ "Generate", "iterable", "of", "Mordor", "queries", "." ]
[ "\"\"\"Generate iterable of Mordor queries.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
e193a1fc675095ae865a04e401f4c427837872b4
JennySnyk/msticpy
msticpy/data/drivers/mordor_driver.py
[ "MIT" ]
Python
technique_name
Optional[str]
def technique_name(self) -> Optional[str]: """ Return Mitre Technique full name. Returns ------- Optional[str] Name of the Mitre technique """ if not self._technique_name and self.technique in MITRE_TECHNIQUES.index: self._technique_name ...
Return Mitre Technique full name. Returns ------- Optional[str] Name of the Mitre technique
Return Mitre Technique full name. Returns Optional[str] Name of the Mitre technique
[ "Return", "Mitre", "Technique", "full", "name", ".", "Returns", "Optional", "[", "str", "]", "Name", "of", "the", "Mitre", "technique" ]
def technique_name(self) -> Optional[str]: if not self._technique_name and self.technique in MITRE_TECHNIQUES.index: self._technique_name = MITRE_TECHNIQUES.loc[self.technique].Name return self._technique_name
[ "def", "technique_name", "(", "self", ")", "->", "Optional", "[", "str", "]", ":", "if", "not", "self", ".", "_technique_name", "and", "self", ".", "technique", "in", "MITRE_TECHNIQUES", ".", "index", ":", "self", ".", "_technique_name", "=", "MITRE_TECHNIQU...
Return Mitre Technique full name.
[ "Return", "Mitre", "Technique", "full", "name", "." ]
[ "\"\"\"\n Return Mitre Technique full name.\n\n Returns\n -------\n Optional[str]\n Name of the Mitre technique\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
e193a1fc675095ae865a04e401f4c427837872b4
JennySnyk/msticpy
msticpy/data/drivers/mordor_driver.py
[ "MIT" ]
Python
technique_desc
Optional[str]
def technique_desc(self) -> Optional[str]: """ Return Mitre technique description. Returns ------- Optional[str] Technique description """ if not self._technique_desc and self.technique in MITRE_TECHNIQUES.index: self._technique_desc = MI...
Return Mitre technique description. Returns ------- Optional[str] Technique description
Return Mitre technique description. Returns Optional[str] Technique description
[ "Return", "Mitre", "technique", "description", ".", "Returns", "Optional", "[", "str", "]", "Technique", "description" ]
def technique_desc(self) -> Optional[str]: if not self._technique_desc and self.technique in MITRE_TECHNIQUES.index: self._technique_desc = MITRE_TECHNIQUES.loc[self.technique].Description return self._technique_desc
[ "def", "technique_desc", "(", "self", ")", "->", "Optional", "[", "str", "]", ":", "if", "not", "self", ".", "_technique_desc", "and", "self", ".", "technique", "in", "MITRE_TECHNIQUES", ".", "index", ":", "self", ".", "_technique_desc", "=", "MITRE_TECHNIQU...
Return Mitre technique description.
[ "Return", "Mitre", "technique", "description", "." ]
[ "\"\"\"\n Return Mitre technique description.\n\n Returns\n -------\n Optional[str]\n Technique description\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
e193a1fc675095ae865a04e401f4c427837872b4
JennySnyk/msticpy
msticpy/data/drivers/mordor_driver.py
[ "MIT" ]
Python
_get_mdr_github_tree
<not_specific>
def _get_mdr_github_tree(): """Closure to wrap fetching Mordor tree from GitHub.""" mordor_tree = None def _get_mdr_tree(uri): nonlocal mordor_tree if mordor_tree is None: resp = requests.get(uri) mordor_tree = resp.json() return mordor_tree return _get_...
Closure to wrap fetching Mordor tree from GitHub.
Closure to wrap fetching Mordor tree from GitHub.
[ "Closure", "to", "wrap", "fetching", "Mordor", "tree", "from", "GitHub", "." ]
def _get_mdr_github_tree(): mordor_tree = None def _get_mdr_tree(uri): nonlocal mordor_tree if mordor_tree is None: resp = requests.get(uri) mordor_tree = resp.json() return mordor_tree return _get_mdr_tree
[ "def", "_get_mdr_github_tree", "(", ")", ":", "mordor_tree", "=", "None", "def", "_get_mdr_tree", "(", "uri", ")", ":", "nonlocal", "mordor_tree", "if", "mordor_tree", "is", "None", ":", "resp", "=", "requests", ".", "get", "(", "uri", ")", "mordor_tree", ...
Closure to wrap fetching Mordor tree from GitHub.
[ "Closure", "to", "wrap", "fetching", "Mordor", "tree", "from", "GitHub", "." ]
[ "\"\"\"Closure to wrap fetching Mordor tree from GitHub.\"\"\"" ]
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
e193a1fc675095ae865a04e401f4c427837872b4
JennySnyk/msticpy
msticpy/data/drivers/mordor_driver.py
[ "MIT" ]
Python
_get_mdr_file
<not_specific>
def _get_mdr_file(gh_file): """Fetch a file from Mordor repo.""" file_blob_uri = f"https://raw.githubusercontent.com/OTRF/mordor/master/{gh_file}" file_resp = requests.get(file_blob_uri) return file_resp.content
Fetch a file from Mordor repo.
Fetch a file from Mordor repo.
[ "Fetch", "a", "file", "from", "Mordor", "repo", "." ]
def _get_mdr_file(gh_file): file_blob_uri = f"https://raw.githubusercontent.com/OTRF/mordor/master/{gh_file}" file_resp = requests.get(file_blob_uri) return file_resp.content
[ "def", "_get_mdr_file", "(", "gh_file", ")", ":", "file_blob_uri", "=", "f\"https://raw.githubusercontent.com/OTRF/mordor/master/{gh_file}\"", "file_resp", "=", "requests", ".", "get", "(", "file_blob_uri", ")", "return", "file_resp", ".", "content" ]
Fetch a file from Mordor repo.
[ "Fetch", "a", "file", "from", "Mordor", "repo", "." ]
[ "\"\"\"Fetch a file from Mordor repo.\"\"\"" ]
[ { "param": "gh_file", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "gh_file", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
e193a1fc675095ae865a04e401f4c427837872b4
JennySnyk/msticpy
msticpy/data/drivers/mordor_driver.py
[ "MIT" ]
Python
_fetch_mdr_metadata
Dict[str, MordorEntry]
def _fetch_mdr_metadata() -> Dict[str, MordorEntry]: """ Return full metadata for Mordor datasets. Returns ------- Dict[str, MordorEntry]: Mordor data set metadata keyed by MordorID """ global MITRE_TECHNIQUES, MITRE_TACTICS if MITRE_TECHNIQUES is None or MITRE_TACTICS is None...
Return full metadata for Mordor datasets. Returns ------- Dict[str, MordorEntry]: Mordor data set metadata keyed by MordorID
Return full metadata for Mordor datasets. Returns Dict[str, MordorEntry]: Mordor data set metadata keyed by MordorID
[ "Return", "full", "metadata", "for", "Mordor", "datasets", ".", "Returns", "Dict", "[", "str", "MordorEntry", "]", ":", "Mordor", "data", "set", "metadata", "keyed", "by", "MordorID" ]
def _fetch_mdr_metadata() -> Dict[str, MordorEntry]: global MITRE_TECHNIQUES, MITRE_TACTICS if MITRE_TECHNIQUES is None or MITRE_TACTICS is None: MITRE_TECHNIQUES, MITRE_TACTICS = _get_mitre_categories() md_metadata: Dict[str, MordorEntry] = {} mdr_md_paths = list(get_mdr_data_paths("metadata"))...
[ "def", "_fetch_mdr_metadata", "(", ")", "->", "Dict", "[", "str", ",", "MordorEntry", "]", ":", "global", "MITRE_TECHNIQUES", ",", "MITRE_TACTICS", "if", "MITRE_TECHNIQUES", "is", "None", "or", "MITRE_TACTICS", "is", "None", ":", "MITRE_TECHNIQUES", ",", "MITRE_...
Return full metadata for Mordor datasets.
[ "Return", "full", "metadata", "for", "Mordor", "datasets", "." ]
[ "\"\"\"\n Return full metadata for Mordor datasets.\n\n Returns\n -------\n Dict[str, MordorEntry]:\n Mordor data set metadata keyed by MordorID\n\n \"\"\"" ]
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
144d987738423afc9e954ccc824b11988000eed8
JennySnyk/msticpy
msticpy/sectools/tilookup.py
[ "MIT" ]
Python
configured_providers
List[str]
def configured_providers(self) -> List[str]: """ Return a list of avaliable providers that have configuration details present. Returns ------- List[str] List of TI Provider classes. """ prim_conf = list(self._providers.keys()) sec_conf = list...
Return a list of avaliable providers that have configuration details present. Returns ------- List[str] List of TI Provider classes.
Return a list of avaliable providers that have configuration details present. Returns List[str] List of TI Provider classes.
[ "Return", "a", "list", "of", "avaliable", "providers", "that", "have", "configuration", "details", "present", ".", "Returns", "List", "[", "str", "]", "List", "of", "TI", "Provider", "classes", "." ]
def configured_providers(self) -> List[str]: prim_conf = list(self._providers.keys()) sec_conf = list(self._secondary_providers.keys()) return prim_conf + sec_conf
[ "def", "configured_providers", "(", "self", ")", "->", "List", "[", "str", "]", ":", "prim_conf", "=", "list", "(", "self", ".", "_providers", ".", "keys", "(", ")", ")", "sec_conf", "=", "list", "(", "self", ".", "_secondary_providers", ".", "keys", "...
Return a list of avaliable providers that have configuration details present.
[ "Return", "a", "list", "of", "avaliable", "providers", "that", "have", "configuration", "details", "present", "." ]
[ "\"\"\"\n Return a list of avaliable providers that have configuration details present.\n\n Returns\n -------\n List[str]\n List of TI Provider classes.\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
144d987738423afc9e954ccc824b11988000eed8
JennySnyk/msticpy
msticpy/sectools/tilookup.py
[ "MIT" ]
Python
reload_provider_settings
null
def reload_provider_settings(cls): """Reload provider settings from config.""" reload_settings() print( "Settings reloaded. Use reload_providers to update settings", "for loaded providers.", )
Reload provider settings from config.
Reload provider settings from config.
[ "Reload", "provider", "settings", "from", "config", "." ]
def reload_provider_settings(cls): reload_settings() print( "Settings reloaded. Use reload_providers to update settings", "for loaded providers.", )
[ "def", "reload_provider_settings", "(", "cls", ")", ":", "reload_settings", "(", ")", "print", "(", "\"Settings reloaded. Use reload_providers to update settings\"", ",", "\"for loaded providers.\"", ",", ")" ]
Reload provider settings from config.
[ "Reload", "provider", "settings", "from", "config", "." ]
[ "\"\"\"Reload provider settings from config.\"\"\"" ]
[ { "param": "cls", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "cls", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
144d987738423afc9e954ccc824b11988000eed8
JennySnyk/msticpy
msticpy/sectools/tilookup.py
[ "MIT" ]
Python
reload_providers
null
def reload_providers(self): """ Reload providers based on current settings in config. Parameters ---------- clear_keyring : bool, optional Clears any secrets cached in keyring, by default False """ self.reload_provider_settings() self._load_p...
Reload providers based on current settings in config. Parameters ---------- clear_keyring : bool, optional Clears any secrets cached in keyring, by default False
Reload providers based on current settings in config. Parameters clear_keyring : bool, optional Clears any secrets cached in keyring, by default False
[ "Reload", "providers", "based", "on", "current", "settings", "in", "config", ".", "Parameters", "clear_keyring", ":", "bool", "optional", "Clears", "any", "secrets", "cached", "in", "keyring", "by", "default", "False" ]
def reload_providers(self): self.reload_provider_settings() self._load_providers()
[ "def", "reload_providers", "(", "self", ")", ":", "self", ".", "reload_provider_settings", "(", ")", "self", ".", "_load_providers", "(", ")" ]
Reload providers based on current settings in config.
[ "Reload", "providers", "based", "on", "current", "settings", "in", "config", "." ]
[ "\"\"\"\n Reload providers based on current settings in config.\n\n Parameters\n ----------\n clear_keyring : bool, optional\n Clears any secrets cached in keyring, by default False\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
144d987738423afc9e954ccc824b11988000eed8
JennySnyk/msticpy
msticpy/sectools/tilookup.py
[ "MIT" ]
Python
_load_providers
null
def _load_providers(self): """Load provider classes based on config.""" prov_settings = get_provider_settings() for provider_entry, settings in prov_settings.items(): # Allow overriding provider name to use another class provider_name = settings.provider or provider_entr...
Load provider classes based on config.
Load provider classes based on config.
[ "Load", "provider", "classes", "based", "on", "config", "." ]
def _load_providers(self): prov_settings = get_provider_settings() for provider_entry, settings in prov_settings.items(): provider_name = settings.provider or provider_entry if self._providers_to_load and provider_name not in self._providers_to_load: continue ...
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Load provider classes based on config.
[ "Load", "provider", "classes", "based", "on", "config", "." ]
[ "\"\"\"Load provider classes based on config.\"\"\"", "# Allow overriding provider name to use another class", "# instantiate class sending args from settings to init", "# If the TI Provider didn't load, raise an exception", "# set the description from settings, if one is provided, otherwise", "# use clas...
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
144d987738423afc9e954ccc824b11988000eed8
JennySnyk/msticpy
msticpy/sectools/tilookup.py
[ "MIT" ]
Python
result_to_df
pd.DataFrame
def result_to_df( ioc_lookup: Tuple[bool, List[Tuple[str, LookupResult]]] ) -> pd.DataFrame: """ Return DataFrame representation of IoC Lookup response. Parameters ---------- ioc_lookup : Tuple[bool, List[Tuple[str, LookupResult]]] Output from `lookup_ioc...
Return DataFrame representation of IoC Lookup response. Parameters ---------- ioc_lookup : Tuple[bool, List[Tuple[str, LookupResult]]] Output from `lookup_ioc` Returns ------- pd.DataFrame The response as a DataFrame with a row for each ...
Return DataFrame representation of IoC Lookup response. Parameters Returns pd.DataFrame The response as a DataFrame with a row for each provider response.
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def result_to_df( ioc_lookup: Tuple[bool, List[Tuple[str, LookupResult]]] ) -> pd.DataFrame: return ( pd.DataFrame( { r_item[0]: pd.Series(attr.asdict(r_item[1])) for r_item in ioc_lookup[1] } ) ...
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Return DataFrame representation of IoC Lookup response.
[ "Return", "DataFrame", "representation", "of", "IoC", "Lookup", "response", "." ]
[ "\"\"\"\n Return DataFrame representation of IoC Lookup response.\n\n Parameters\n ----------\n ioc_lookup : Tuple[bool, List[Tuple[str, LookupResult]]]\n Output from `lookup_ioc`\n\n Returns\n -------\n pd.DataFrame\n The response as a DataFram...
[ { "param": "ioc_lookup", "type": "Tuple[bool, List[Tuple[str, LookupResult]]]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "ioc_lookup", "type": "Tuple[bool, List[Tuple[str, LookupResult]]]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
c9951dd31b400e1ecc33a1b4b116886562feca39
JennySnyk/msticpy
msticpy/analysis/timeseries.py
[ "MIT" ]
Python
ts_anomalies_stl
pd.DataFrame
def ts_anomalies_stl(data: pd.DataFrame, **kwargs) -> pd.DataFrame: """ Return anomalies in Timeseries using STL. Parameters ---------- data : pd.DataFrame DataFrame as a time series data set retrived from data connector or external data source. Dataframe must have 2 columns with ti...
Return anomalies in Timeseries using STL. Parameters ---------- data : pd.DataFrame DataFrame as a time series data set retrived from data connector or external data source. Dataframe must have 2 columns with time column set as index and other numeric value. Other Paramete...
Return anomalies in Timeseries using STL. Parameters data : pd.DataFrame DataFrame as a time series data set retrived from data connector or external data source. Dataframe must have 2 columns with time column set as index and other numeric value. Other Parameters seasonal : int, optional Seasonality period of the i...
[ "Return", "anomalies", "in", "Timeseries", "using", "STL", ".", "Parameters", "data", ":", "pd", ".", "DataFrame", "DataFrame", "as", "a", "time", "series", "data", "set", "retrived", "from", "data", "connector", "or", "external", "data", "source", ".", "Dat...
def ts_anomalies_stl(data: pd.DataFrame, **kwargs) -> pd.DataFrame: check_kwargs(kwargs, _DEFAULT_KWARGS) seasonal: int = kwargs.get("seasonal", 7) period: int = kwargs.get("period", 24) score_threshold: float = kwargs.get("score_threshold", 3.0) if not isinstance(data, pd.DataFrame): raise ...
[ "def", "ts_anomalies_stl", "(", "data", ":", "pd", ".", "DataFrame", ",", "**", "kwargs", ")", "->", "pd", ".", "DataFrame", ":", "check_kwargs", "(", "kwargs", ",", "_DEFAULT_KWARGS", ")", "seasonal", ":", "int", "=", "kwargs", ".", "get", "(", "\"seaso...
Return anomalies in Timeseries using STL.
[ "Return", "anomalies", "in", "Timeseries", "using", "STL", "." ]
[ "\"\"\"\n Return anomalies in Timeseries using STL.\n\n Parameters\n ----------\n data : pd.DataFrame\n DataFrame as a time series data set retrived from data connector or\n external data source. Dataframe must have 2 columns with time column\n set as index and other numeric value.\...
[ { "param": "data", "type": "pd.DataFrame" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "data", "type": "pd.DataFrame", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
85387658298d2664abe1925bc125e825808a814d
JennySnyk/msticpy
msticpy/data/drivers/__init__.py
[ "MIT" ]
Python
import_driver
type
def import_driver(data_environment: DataEnvironment) -> type: """Import driver class for a data environment.""" mod_name, cls_name = _ENVIRONMENT_DRIVERS.get(data_environment, (None, None)) if not (mod_name and cls_name): raise ValueError( f"No driver available for environment {data_env...
Import driver class for a data environment.
Import driver class for a data environment.
[ "Import", "driver", "class", "for", "a", "data", "environment", "." ]
def import_driver(data_environment: DataEnvironment) -> type: mod_name, cls_name = _ENVIRONMENT_DRIVERS.get(data_environment, (None, None)) if not (mod_name and cls_name): raise ValueError( f"No driver available for environment {data_environment.name}.", "Possible values are:", ...
[ "def", "import_driver", "(", "data_environment", ":", "DataEnvironment", ")", "->", "type", ":", "mod_name", ",", "cls_name", "=", "_ENVIRONMENT_DRIVERS", ".", "get", "(", "data_environment", ",", "(", "None", ",", "None", ")", ")", "if", "not", "(", "mod_na...
Import driver class for a data environment.
[ "Import", "driver", "class", "for", "a", "data", "environment", "." ]
[ "\"\"\"Import driver class for a data environment.\"\"\"" ]
[ { "param": "data_environment", "type": "DataEnvironment" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "data_environment", "type": "DataEnvironment", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
940b2628e4fa3d91ee3bcee6ba9eb990940b5cf6
JennySnyk/msticpy
msticpy/datamodel/pivot_ti_provider.py
[ "MIT" ]
Python
create_ti_pivot_funcs
<not_specific>
def create_ti_pivot_funcs(ti_lookup: TILookup): """Create the TI Pivot functions.""" ioc_type_supp = _get_supported_ioc_types(ti_lookup) ioc_queries: Dict[str, Dict[str, Callable[..., pd.DataFrame]]] = defaultdict(dict) # Add functions for ioc types that will call all providers # Non-IP types i...
Create the TI Pivot functions.
Create the TI Pivot functions.
[ "Create", "the", "TI", "Pivot", "functions", "." ]
def create_ti_pivot_funcs(ti_lookup: TILookup): ioc_type_supp = _get_supported_ioc_types(ti_lookup) ioc_queries: Dict[str, Dict[str, Callable[..., pd.DataFrame]]] = defaultdict(dict) ioc_queries.update(_get_non_ip_functions(ioc_type_supp, ti_lookup)) ioc_queries.update(_get_ip_functions(ioc_type_supp, t...
[ "def", "create_ti_pivot_funcs", "(", "ti_lookup", ":", "TILookup", ")", ":", "ioc_type_supp", "=", "_get_supported_ioc_types", "(", "ti_lookup", ")", "ioc_queries", ":", "Dict", "[", "str", ",", "Dict", "[", "str", ",", "Callable", "[", "...", ",", "pd", "."...
Create the TI Pivot functions.
[ "Create", "the", "TI", "Pivot", "functions", "." ]
[ "\"\"\"Create the TI Pivot functions.\"\"\"", "# Add functions for ioc types that will call all providers", "# Non-IP types", "# Special case for ipv4 and ipv6 - we want to merge these into \"ip\" if these are equivalent", "# Add functions for provider-specific lookup function names", "# These have a \"_p...
[ { "param": "ti_lookup", "type": "TILookup" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "ti_lookup", "type": "TILookup", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
940b2628e4fa3d91ee3bcee6ba9eb990940b5cf6
JennySnyk/msticpy
msticpy/datamodel/pivot_ti_provider.py
[ "MIT" ]
Python
_get_non_ip_functions
<not_specific>
def _get_non_ip_functions(ioc_type_supp, ti_lookup): """Get functions for non-IP IoC types.""" ioc_queries = defaultdict(dict) for ioc in IOC_TYPES - {"ipv4", "ipv6"}: supporting_provs = [ prov for prov, supp_types in ioc_type_supp.items() if ioc in supp_types ] _, func_n...
Get functions for non-IP IoC types.
Get functions for non-IP IoC types.
[ "Get", "functions", "for", "non", "-", "IP", "IoC", "types", "." ]
def _get_non_ip_functions(ioc_type_supp, ti_lookup): ioc_queries = defaultdict(dict) for ioc in IOC_TYPES - {"ipv4", "ipv6"}: supporting_provs = [ prov for prov, supp_types in ioc_type_supp.items() if ioc in supp_types ] _, func_name, func = _create_lookup_func(ti_lookup, ioc...
[ "def", "_get_non_ip_functions", "(", "ioc_type_supp", ",", "ti_lookup", ")", ":", "ioc_queries", "=", "defaultdict", "(", "dict", ")", "for", "ioc", "in", "IOC_TYPES", "-", "{", "\"ipv4\"", ",", "\"ipv6\"", "}", ":", "supporting_provs", "=", "[", "prov", "fo...
Get functions for non-IP IoC types.
[ "Get", "functions", "for", "non", "-", "IP", "IoC", "types", "." ]
[ "\"\"\"Get functions for non-IP IoC types.\"\"\"" ]
[ { "param": "ioc_type_supp", "type": null }, { "param": "ti_lookup", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "ioc_type_supp", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ti_lookup", "type": null, "docstring": null, "docstr...
940b2628e4fa3d91ee3bcee6ba9eb990940b5cf6
JennySnyk/msticpy
msticpy/datamodel/pivot_ti_provider.py
[ "MIT" ]
Python
_get_ip_functions
<not_specific>
def _get_ip_functions(ioc_type_supp, ti_lookup): """Get functions for IP IoC Types.""" # Special case for ipv4 and ipv6 # we want to merge these into "ip" if these are equivalent ioc_queries = defaultdict(dict) # Special case for ipv4 and ipv6 - we want to merge these into "ip" if these are equivale...
Get functions for IP IoC Types.
Get functions for IP IoC Types.
[ "Get", "functions", "for", "IP", "IoC", "Types", "." ]
def _get_ip_functions(ioc_type_supp, ti_lookup): ioc_queries = defaultdict(dict) - we want to merge these into "ip" if these are equivalent ip_types = {"ipv4", "ipv6"} ip_all_provs = [ prov for prov, supp_types in ioc_type_supp.items() if ip_types & supp_types ] ip_gen_provs = [ ...
[ "def", "_get_ip_functions", "(", "ioc_type_supp", ",", "ti_lookup", ")", ":", "ioc_queries", "=", "defaultdict", "(", "dict", ")", "ip_types", "=", "{", "\"ipv4\"", ",", "\"ipv6\"", "}", "ip_all_provs", "=", "[", "prov", "for", "prov", ",", "supp_types", "in...
Get functions for IP IoC Types.
[ "Get", "functions", "for", "IP", "IoC", "Types", "." ]
[ "\"\"\"Get functions for IP IoC Types.\"\"\"", "# Special case for ipv4 and ipv6", "# we want to merge these into \"ip\" if these are equivalent", "# Special case for ipv4 and ipv6 - we want to merge these into \"ip\" if these are equivalent", "# Register providers where IP v4 and v6 are equivalent, or only...
[ { "param": "ioc_type_supp", "type": null }, { "param": "ti_lookup", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "ioc_type_supp", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "ti_lookup", "type": null, "docstring": null, "docstr...
7477ebb58d24c9e66901b1cf917fd56c181abb14
JennySnyk/msticpy
msticpy/common/azure_auth_core.py
[ "MIT" ]
Python
az_connect_core
AzCredentials
def az_connect_core( auth_methods: List[str] = None, silent: bool = False ) -> AzCredentials: """ Authenticate using multiple authentication sources. Parameters ---------- auth_methods List of authentication methods to try Possible options are: - "env" - to get authentic...
Authenticate using multiple authentication sources. Parameters ---------- auth_methods List of authentication methods to try Possible options are: - "env" - to get authentication details from environment varibales - "cli" - to use Azure CLI authentication details ...
Authenticate using multiple authentication sources. Parameters silent Whether to display any output during auth process. Default is False. Returns AzCredentials Named tuple of: legacy (ADAL) credentials modern (MSAL) credentials Raises CloudError If chained token credential creation fails. MsticpyAzureConnection...
[ "Authenticate", "using", "multiple", "authentication", "sources", ".", "Parameters", "silent", "Whether", "to", "display", "any", "output", "during", "auth", "process", ".", "Default", "is", "False", ".", "Returns", "AzCredentials", "Named", "tuple", "of", ":", ...
def az_connect_core( auth_methods: List[str] = None, silent: bool = False ) -> AzCredentials: if not auth_methods: auth_methods = default_auth_methods() try: auths = [_AUTH_OPTIONS[meth] for meth in auth_methods] except KeyError as err: raise MsticpyAzureConnectionError( ...
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Authenticate using multiple authentication sources.
[ "Authenticate", "using", "multiple", "authentication", "sources", "." ]
[ "\"\"\"\n Authenticate using multiple authentication sources.\n\n Parameters\n ----------\n auth_methods\n List of authentication methods to try\n Possible options are:\n - \"env\" - to get authentication details from environment varibales\n - \"cli\" - to use Azure CLI authe...
[ { "param": "auth_methods", "type": "List[str]" }, { "param": "silent", "type": "bool" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "auth_methods", "type": "List[str]", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "silent", "type": "bool", "docstring": null, "d...
27cd0d52e0eda9867ecfe223f9a2f52c162dc87d
JennySnyk/msticpy
msticpy/nbtools/ti_browser.py
[ "MIT" ]
Python
_create_ti_agg_list
<not_specific>
def _create_ti_agg_list( ti_data: pd.DataFrame, severities: Union[List[str], str, None] = None ): """Aggregate ti results on IoC for multiple providers.""" if not severities: severities = ["warning", "high"] if severities == "all": severities = ["information", "warning", "high"] ti_d...
Aggregate ti results on IoC for multiple providers.
Aggregate ti results on IoC for multiple providers.
[ "Aggregate", "ti", "results", "on", "IoC", "for", "multiple", "providers", "." ]
def _create_ti_agg_list( ti_data: pd.DataFrame, severities: Union[List[str], str, None] = None ): if not severities: severities = ["warning", "high"] if severities == "all": severities = ["information", "warning", "high"] ti_data["Details"] = ti_data.apply(lambda x: _label_col_dict(x, "D...
[ "def", "_create_ti_agg_list", "(", "ti_data", ":", "pd", ".", "DataFrame", ",", "severities", ":", "Union", "[", "List", "[", "str", "]", ",", "str", ",", "None", "]", "=", "None", ")", ":", "if", "not", "severities", ":", "severities", "=", "[", "\"...
Aggregate ti results on IoC for multiple providers.
[ "Aggregate", "ti", "results", "on", "IoC", "for", "multiple", "providers", "." ]
[ "\"\"\"Aggregate ti results on IoC for multiple providers.\"\"\"" ]
[ { "param": "ti_data", "type": "pd.DataFrame" }, { "param": "severities", "type": "Union[List[str], str, None]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "ti_data", "type": "pd.DataFrame", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "severities", "type": "Union[List[str], str, None]", "d...
27cd0d52e0eda9867ecfe223f9a2f52c162dc87d
JennySnyk/msticpy
msticpy/nbtools/ti_browser.py
[ "MIT" ]
Python
_label_col_dict
<not_specific>
def _label_col_dict(row: pd.Series, column: str): """Add label from the Provider column to the details.""" if not isinstance(row[column], dict): return row[column] return ( {row.Provider: row[column]} if row.Provider not in row[column] else row[column] )
Add label from the Provider column to the details.
Add label from the Provider column to the details.
[ "Add", "label", "from", "the", "Provider", "column", "to", "the", "details", "." ]
def _label_col_dict(row: pd.Series, column: str): if not isinstance(row[column], dict): return row[column] return ( {row.Provider: row[column]} if row.Provider not in row[column] else row[column] )
[ "def", "_label_col_dict", "(", "row", ":", "pd", ".", "Series", ",", "column", ":", "str", ")", ":", "if", "not", "isinstance", "(", "row", "[", "column", "]", ",", "dict", ")", ":", "return", "row", "[", "column", "]", "return", "(", "{", "row", ...
Add label from the Provider column to the details.
[ "Add", "label", "from", "the", "Provider", "column", "to", "the", "details", "." ]
[ "\"\"\"Add label from the Provider column to the details.\"\"\"" ]
[ { "param": "row", "type": "pd.Series" }, { "param": "column", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "row", "type": "pd.Series", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "column", "type": "str", "docstring": null, "docstring_t...
27cd0d52e0eda9867ecfe223f9a2f52c162dc87d
JennySnyk/msticpy
msticpy/nbtools/ti_browser.py
[ "MIT" ]
Python
ti_details_display
<not_specific>
def ti_details_display(ti_data): """Return TI Details display function.""" def get_ti_details(ioc_prov): """Display TI records from individual TI entry.""" ioc, provs = ioc_prov results = [] h2_style = "border: 1px solid;background-color: DarkGray; padding: 6px" h3_style...
Return TI Details display function.
Return TI Details display function.
[ "Return", "TI", "Details", "display", "function", "." ]
def ti_details_display(ti_data): def get_ti_details(ioc_prov): ioc, provs = ioc_prov results = [] h2_style = "border: 1px solid;background-color: DarkGray; padding: 6px" h3_style = "background-color: SteelBlue; padding: 6px" results.append(f"<h2 style='{h2_style}'>{ioc}</h2>"...
[ "def", "ti_details_display", "(", "ti_data", ")", ":", "def", "get_ti_details", "(", "ioc_prov", ")", ":", "\"\"\"Display TI records from individual TI entry.\"\"\"", "ioc", ",", "provs", "=", "ioc_prov", "results", "=", "[", "]", "h2_style", "=", "\"border: 1px solid...
Return TI Details display function.
[ "Return", "TI", "Details", "display", "function", "." ]
[ "\"\"\"Return TI Details display function.\"\"\"", "\"\"\"Display TI records from individual TI entry.\"\"\"" ]
[ { "param": "ti_data", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "ti_data", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
27cd0d52e0eda9867ecfe223f9a2f52c162dc87d
JennySnyk/msticpy
msticpy/nbtools/ti_browser.py
[ "MIT" ]
Python
raw_results
str
def raw_results(raw_result: str) -> str: """Create pre-formatted details for raw results.""" fmt_details = ( pprint.pformat(raw_result).replace("\n", "<br>").replace(" ", "&nbsp;") ) return f""" <details> <summary> <u>Raw results from provider...</u></summary> <pre style...
Create pre-formatted details for raw results.
Create pre-formatted details for raw results.
[ "Create", "pre", "-", "formatted", "details", "for", "raw", "results", "." ]
def raw_results(raw_result: str) -> str: fmt_details = ( pprint.pformat(raw_result).replace("\n", "<br>").replace(" ", "&nbsp;") ) return f""" <details> <summary> <u>Raw results from provider...</u></summary> <pre style="font-size:11px">{fmt_details}</pre> </details>...
[ "def", "raw_results", "(", "raw_result", ":", "str", ")", "->", "str", ":", "fmt_details", "=", "(", "pprint", ".", "pformat", "(", "raw_result", ")", ".", "replace", "(", "\"\\n\"", ",", "\"<br>\"", ")", ".", "replace", "(", "\" \"", ",", "\"&nbsp;\"", ...
Create pre-formatted details for raw results.
[ "Create", "pre", "-", "formatted", "details", "for", "raw", "results", "." ]
[ "\"\"\"Create pre-formatted details for raw results.\"\"\"" ]
[ { "param": "raw_result", "type": "str" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "raw_result", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
27cd0d52e0eda9867ecfe223f9a2f52c162dc87d
JennySnyk/msticpy
msticpy/nbtools/ti_browser.py
[ "MIT" ]
Python
_ti_detail_table
str
def _ti_detail_table(detail_dict: dict) -> str: """Return table of ti details.""" return "".join( [ _TI_TABLE_STYLE, "<table class='tb_ti_res'>", *_dict_to_html(detail_dict), "</table>", ] )
Return table of ti details.
Return table of ti details.
[ "Return", "table", "of", "ti", "details", "." ]
def _ti_detail_table(detail_dict: dict) -> str: return "".join( [ _TI_TABLE_STYLE, "<table class='tb_ti_res'>", *_dict_to_html(detail_dict), "</table>", ] )
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Return table of ti details.
[ "Return", "table", "of", "ti", "details", "." ]
[ "\"\"\"Return table of ti details.\"\"\"" ]
[ { "param": "detail_dict", "type": "dict" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "detail_dict", "type": "dict", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
787eb63eec89e10a5c8bc664ca16f1331d8cd1a3
JennySnyk/msticpy
msticpy/data/drivers/local_data_driver.py
[ "MIT" ]
Python
_get_data_paths
Dict[str, str]
def _get_data_paths(self) -> Dict[str, str]: """Read files in data paths.""" data_files = {} for path in self._paths: for pattern in ["**/*.pkl", "**/*.csv"]: found_files = list(Path(path).resolve().glob(pattern)) data_files.update( ...
Read files in data paths.
Read files in data paths.
[ "Read", "files", "in", "data", "paths", "." ]
def _get_data_paths(self) -> Dict[str, str]: data_files = {} for path in self._paths: for pattern in ["**/*.pkl", "**/*.csv"]: found_files = list(Path(path).resolve().glob(pattern)) data_files.update( { str(file_path...
[ "def", "_get_data_paths", "(", "self", ")", "->", "Dict", "[", "str", ",", "str", "]", ":", "data_files", "=", "{", "}", "for", "path", "in", "self", ".", "_paths", ":", "for", "pattern", "in", "[", "\"**/*.pkl\"", ",", "\"**/*.csv\"", "]", ":", "fou...
Read files in data paths.
[ "Read", "files", "in", "data", "paths", "." ]
[ "\"\"\"Read files in data paths.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
787eb63eec89e10a5c8bc664ca16f1331d8cd1a3
JennySnyk/msticpy
msticpy/data/drivers/local_data_driver.py
[ "MIT" ]
Python
connect
null
def connect(self, connection_str: Optional[str] = None, **kwargs): """ Connect to data source. Parameters ---------- connection_str : str Connect to a data source """ del connection_str self._connected = True print("Connected.")
Connect to data source. Parameters ---------- connection_str : str Connect to a data source
Connect to data source. Parameters connection_str : str Connect to a data source
[ "Connect", "to", "data", "source", ".", "Parameters", "connection_str", ":", "str", "Connect", "to", "a", "data", "source" ]
def connect(self, connection_str: Optional[str] = None, **kwargs): del connection_str self._connected = True print("Connected.")
[ "def", "connect", "(", "self", ",", "connection_str", ":", "Optional", "[", "str", "]", "=", "None", ",", "**", "kwargs", ")", ":", "del", "connection_str", "self", ".", "_connected", "=", "True", "print", "(", "\"Connected.\"", ")" ]
Connect to data source.
[ "Connect", "to", "data", "source", "." ]
[ "\"\"\"\n Connect to data source.\n\n Parameters\n ----------\n connection_str : str\n Connect to a data source\n\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "connection_str", "type": "Optional[str]" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "connection_str", "type": "Optional[str]", "docstring": null, ...
787eb63eec89e10a5c8bc664ca16f1331d8cd1a3
JennySnyk/msticpy
msticpy/data/drivers/local_data_driver.py
[ "MIT" ]
Python
schema
Dict[str, Dict]
def schema(self) -> Dict[str, Dict]: """ Return current data schema of connection. Returns ------- Dict[str, Dict] Data schema of current connection. """ if self._schema: return self._schema for df_fname in self.data_files: ...
Return current data schema of connection. Returns ------- Dict[str, Dict] Data schema of current connection.
Return current data schema of connection. Returns Dict[str, Dict] Data schema of current connection.
[ "Return", "current", "data", "schema", "of", "connection", ".", "Returns", "Dict", "[", "str", "Dict", "]", "Data", "schema", "of", "current", "connection", "." ]
def schema(self) -> Dict[str, Dict]: if self._schema: return self._schema for df_fname in self.data_files: test_df = self.query(df_fname) if not isinstance(test_df, pd.DataFrame): continue df_schema = test_df.dtypes self._schema...
[ "def", "schema", "(", "self", ")", "->", "Dict", "[", "str", ",", "Dict", "]", ":", "if", "self", ".", "_schema", ":", "return", "self", ".", "_schema", "for", "df_fname", "in", "self", ".", "data_files", ":", "test_df", "=", "self", ".", "query", ...
Return current data schema of connection.
[ "Return", "current", "data", "schema", "of", "connection", "." ]
[ "\"\"\"\n Return current data schema of connection.\n\n Returns\n -------\n Dict[str, Dict]\n Data schema of current connection.\n\n \"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
787eb63eec89e10a5c8bc664ca16f1331d8cd1a3
JennySnyk/msticpy
msticpy/data/drivers/local_data_driver.py
[ "MIT" ]
Python
query
Union[pd.DataFrame, Any]
def query( self, query: str, query_source: QuerySource = None, **kwargs ) -> Union[pd.DataFrame, Any]: """ Execute query string and return DataFrame of results. Parameters ---------- query : str The query to execute query_source : QuerySource ...
Execute query string and return DataFrame of results. Parameters ---------- query : str The query to execute query_source : QuerySource The query definition object Returns ------- Union[pd.DataFrame, results.ResultSet] ...
Execute query string and return DataFrame of results. Parameters query : str The query to execute query_source : QuerySource The query definition object Returns Union[pd.DataFrame, results.ResultSet] A DataFrame (if successfull) or the underlying provider result if an error.
[ "Execute", "query", "string", "and", "return", "DataFrame", "of", "results", ".", "Parameters", "query", ":", "str", "The", "query", "to", "execute", "query_source", ":", "QuerySource", "The", "query", "definition", "object", "Returns", "Union", "[", "pd", "."...
def query( self, query: str, query_source: QuerySource = None, **kwargs ) -> Union[pd.DataFrame, Any]: del kwargs query_name = query_source.name if query_source else query file_path = self.data_files.get(query.casefold()) if not file_path: raise FileNotFoundError(...
[ "def", "query", "(", "self", ",", "query", ":", "str", ",", "query_source", ":", "QuerySource", "=", "None", ",", "**", "kwargs", ")", "->", "Union", "[", "pd", ".", "DataFrame", ",", "Any", "]", ":", "del", "kwargs", "query_name", "=", "query_source",...
Execute query string and return DataFrame of results.
[ "Execute", "query", "string", "and", "return", "DataFrame", "of", "results", "." ]
[ "\"\"\"\n Execute query string and return DataFrame of results.\n\n Parameters\n ----------\n query : str\n The query to execute\n query_source : QuerySource\n The query definition object\n\n Returns\n -------\n Union[pd.DataFrame, result...
[ { "param": "self", "type": null }, { "param": "query", "type": "str" }, { "param": "query_source", "type": "QuerySource" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "query", "type": "str", "docstring": null, "docstring_tokens":...
833b5d9f31d90f0b12c921d21c63dbb3687f6388
JennySnyk/msticpy
msticpy/config/compound_ctrls.py
[ "MIT" ]
Python
_change_store
null
def _change_store(self, change): """Handle event for store type radio button.""" st_type = change.get("new") self.txt_val.description = "Value" if st_type == STORE_TEXT else st_type self._set_kv_visibility() self.lbl_setting.value = st_type if st_type == STORE_KEYVAULT an...
Handle event for store type radio button.
Handle event for store type radio button.
[ "Handle", "event", "for", "store", "type", "radio", "button", "." ]
def _change_store(self, change): st_type = change.get("new") self.txt_val.description = "Value" if st_type == STORE_TEXT else st_type self._set_kv_visibility() self.lbl_setting.value = st_type if st_type == STORE_KEYVAULT and not self.txt_val.value: self.cb_kv_def.val...
[ "def", "_change_store", "(", "self", ",", "change", ")", ":", "st_type", "=", "change", ".", "get", "(", "\"new\"", ")", "self", ".", "txt_val", ".", "description", "=", "\"Value\"", "if", "st_type", "==", "STORE_TEXT", "else", "st_type", "self", ".", "_...
Handle event for store type radio button.
[ "Handle", "event", "for", "store", "type", "radio", "button", "." ]
[ "\"\"\"Handle event for store type radio button.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "change", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "change", "type": null, "docstring": null, "docstring_tokens":...
833b5d9f31d90f0b12c921d21c63dbb3687f6388
JennySnyk/msticpy
msticpy/config/compound_ctrls.py
[ "MIT" ]
Python
_disable_txt
<not_specific>
def _disable_txt(self, change): """Disable the text field if KeyVault and kv_def_enabled.""" if self.rb_store_type.value != STORE_KEYVAULT: return kv_def_enabled = change.get("new") if kv_def_enabled: self.txt_val.value = "" self.txt_val.disabled = kv_def_...
Disable the text field if KeyVault and kv_def_enabled.
Disable the text field if KeyVault and kv_def_enabled.
[ "Disable", "the", "text", "field", "if", "KeyVault", "and", "kv_def_enabled", "." ]
def _disable_txt(self, change): if self.rb_store_type.value != STORE_KEYVAULT: return kv_def_enabled = change.get("new") if kv_def_enabled: self.txt_val.value = "" self.txt_val.disabled = kv_def_enabled
[ "def", "_disable_txt", "(", "self", ",", "change", ")", ":", "if", "self", ".", "rb_store_type", ".", "value", "!=", "STORE_KEYVAULT", ":", "return", "kv_def_enabled", "=", "change", ".", "get", "(", "\"new\"", ")", "if", "kv_def_enabled", ":", "self", "."...
Disable the text field if KeyVault and kv_def_enabled.
[ "Disable", "the", "text", "field", "if", "KeyVault", "and", "kv_def_enabled", "." ]
[ "\"\"\"Disable the text field if KeyVault and kv_def_enabled.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "change", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "change", "type": null, "docstring": null, "docstring_tokens":...
833b5d9f31d90f0b12c921d21c63dbb3687f6388
JennySnyk/msticpy
msticpy/config/compound_ctrls.py
[ "MIT" ]
Python
_set_kv_visibility
null
def _set_kv_visibility(self): """Set the visibility of the keyvault-related controls.""" if self.rb_store_type.value == STORE_KEYVAULT: self.cb_kv_def.layout.visibility = "visible" self.btn_add_kv_secret.layout.visibility = "hidden" else: self.cb_kv_def.layout...
Set the visibility of the keyvault-related controls.
Set the visibility of the keyvault-related controls.
[ "Set", "the", "visibility", "of", "the", "keyvault", "-", "related", "controls", "." ]
def _set_kv_visibility(self): if self.rb_store_type.value == STORE_KEYVAULT: self.cb_kv_def.layout.visibility = "visible" self.btn_add_kv_secret.layout.visibility = "hidden" else: self.cb_kv_def.layout.visibility = "hidden" self.btn_add_kv_secret.layout.vi...
[ "def", "_set_kv_visibility", "(", "self", ")", ":", "if", "self", ".", "rb_store_type", ".", "value", "==", "STORE_KEYVAULT", ":", "self", ".", "cb_kv_def", ".", "layout", ".", "visibility", "=", "\"visible\"", "self", ".", "btn_add_kv_secret", ".", "layout", ...
Set the visibility of the keyvault-related controls.
[ "Set", "the", "visibility", "of", "the", "keyvault", "-", "related", "controls", "." ]
[ "\"\"\"Set the visibility of the keyvault-related controls.\"\"\"" ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
833b5d9f31d90f0b12c921d21c63dbb3687f6388
JennySnyk/msticpy
msticpy/config/compound_ctrls.py
[ "MIT" ]
Python
_set_kv_secret
<not_specific>
def _set_kv_secret(self, btn): """Try to store the current value to key vault.""" del btn if not self.setting_path: self.set_status("No setting path to create KV secret name.") return sec_value = None if self.rb_store_type.value == STORE_TEXT: ...
Try to store the current value to key vault.
Try to store the current value to key vault.
[ "Try", "to", "store", "the", "current", "value", "to", "key", "vault", "." ]
def _set_kv_secret(self, btn): del btn if not self.setting_path: self.set_status("No setting path to create KV secret name.") return sec_value = None if self.rb_store_type.value == STORE_TEXT: sec_value = self.txt_val.value elif self.rb_store_t...
[ "def", "_set_kv_secret", "(", "self", ",", "btn", ")", ":", "del", "btn", "if", "not", "self", ".", "setting_path", ":", "self", ".", "set_status", "(", "\"No setting path to create KV secret name.\"", ")", "return", "sec_value", "=", "None", "if", "self", "."...
Try to store the current value to key vault.
[ "Try", "to", "store", "the", "current", "value", "to", "key", "vault", "." ]
[ "\"\"\"Try to store the current value to key vault.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "btn", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "btn", "type": null, "docstring": null, "docstring_tokens": []...
833b5d9f31d90f0b12c921d21c63dbb3687f6388
JennySnyk/msticpy
msticpy/config/compound_ctrls.py
[ "MIT" ]
Python
_set_kv_secret_value
Tuple[bool, str, Any]
def _set_kv_secret_value( setting_path: str, item_name: str, value: str, kv_client: Any = None, ) -> Tuple[bool, str, Any]: """Return empty response function if Key Vault cannot be initialized.""" del setting_path, item_name, value, kv_client return False, "Az...
Return empty response function if Key Vault cannot be initialized.
Return empty response function if Key Vault cannot be initialized.
[ "Return", "empty", "response", "function", "if", "Key", "Vault", "cannot", "be", "initialized", "." ]
def _set_kv_secret_value( setting_path: str, item_name: str, value: str, kv_client: Any = None, ) -> Tuple[bool, str, Any]: del setting_path, item_name, value, kv_client return False, "Azure keyvault libraries are not installed", None
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Return empty response function if Key Vault cannot be initialized.
[ "Return", "empty", "response", "function", "if", "Key", "Vault", "cannot", "be", "initialized", "." ]
[ "\"\"\"Return empty response function if Key Vault cannot be initialized.\"\"\"" ]
[ { "param": "setting_path", "type": "str" }, { "param": "item_name", "type": "str" }, { "param": "value", "type": "str" }, { "param": "kv_client", "type": "Any" } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "setting_path", "type": "str", "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "item_name", "type": "str", "docstring": null, "docst...
833b5d9f31d90f0b12c921d21c63dbb3687f6388
JennySnyk/msticpy
msticpy/config/compound_ctrls.py
[ "MIT" ]
Python
_set_prov_name
null
def _set_prov_name(self, prov_name): """ Set the provider name. Notes ----- The provider name can be a simple string or a compound, dotted string (in the case of AzureSentinel it will be of the form AzureSentinel.WorkspaceName) """ self.prov_name...
Set the provider name. Notes ----- The provider name can be a simple string or a compound, dotted string (in the case of AzureSentinel it will be of the form AzureSentinel.WorkspaceName)
Set the provider name. Notes The provider name can be a simple string or a compound, dotted string (in the case of AzureSentinel it will be of the form AzureSentinel.WorkspaceName)
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def _set_prov_name(self, prov_name): self.prov_name = prov_name self.prov_type = "Workspace" if "." in prov_name else "Provider" self.lbl_type = widgets.Label( value=f"{self.prov_name} ({self.prov_type})", layout=widgets.Layout(width="300px"), )
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Set the provider name.
[ "Set", "the", "provider", "name", "." ]
[ "\"\"\"\n Set the provider name.\n\n Notes\n -----\n The provider name can be a simple string or a compound,\n dotted string (in the case of AzureSentinel it will be of the form\n AzureSentinel.WorkspaceName)\n\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "prov_name", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "prov_name", "type": null, "docstring": null, "docstring_token...
833b5d9f31d90f0b12c921d21c63dbb3687f6388
JennySnyk/msticpy
msticpy/config/compound_ctrls.py
[ "MIT" ]
Python
value
Union[str, Dict[str, Optional[str]]]
def value(self) -> Union[str, Dict[str, Optional[str]]]: """ Return the current value of the control. Returns ------- Union[str, Dict[str, Optional[str]]] The value dict. In cases where optional 'alias' and 'connect' settings are not used this...
Return the current value of the control. Returns ------- Union[str, Dict[str, Optional[str]]] The value dict. In cases where optional 'alias' and 'connect' settings are not used this will be an empty dictionary.
Return the current value of the control. Returns
[ "Return", "the", "current", "value", "of", "the", "control", ".", "Returns" ]
def value(self) -> Union[str, Dict[str, Optional[str]]]: alias = {"alias": self.txt_alias.value} if self.txt_alias.value else {} connect = ( {"connect": self.cb_connect.value} if not self.cb_connect.value else {} ) return {**alias, **connect}
[ "def", "value", "(", "self", ")", "->", "Union", "[", "str", ",", "Dict", "[", "str", ",", "Optional", "[", "str", "]", "]", "]", ":", "alias", "=", "{", "\"alias\"", ":", "self", ".", "txt_alias", ".", "value", "}", "if", "self", ".", "txt_alias...
Return the current value of the control.
[ "Return", "the", "current", "value", "of", "the", "control", "." ]
[ "\"\"\"\n Return the current value of the control.\n\n Returns\n -------\n Union[str, Dict[str, Optional[str]]]\n The value dict.\n In cases where optional 'alias' and 'connect' settings\n are not used this will be an empty dictionary.\n\n \"\"\"" ...
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
833b5d9f31d90f0b12c921d21c63dbb3687f6388
JennySnyk/msticpy
msticpy/config/compound_ctrls.py
[ "MIT" ]
Python
_add_control_to_map
null
def _add_control_to_map(self, path, ctrl): """Set a value at dotted path location in self.control_map dict.""" ctrl_path = path.replace(f"{self.comp_path}.", "") ctrl_map = self.control_map for elem in ctrl_path.split("."): if not isinstance(ctrl_map.get(elem), dict): ...
Set a value at dotted path location in self.control_map dict.
Set a value at dotted path location in self.control_map dict.
[ "Set", "a", "value", "at", "dotted", "path", "location", "in", "self", ".", "control_map", "dict", "." ]
def _add_control_to_map(self, path, ctrl): ctrl_path = path.replace(f"{self.comp_path}.", "") ctrl_map = self.control_map for elem in ctrl_path.split("."): if not isinstance(ctrl_map.get(elem), dict): ctrl_map[elem] = ctrl break ctrl_map = ...
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Set a value at dotted path location in self.control_map dict.
[ "Set", "a", "value", "at", "dotted", "path", "location", "in", "self", ".", "control_map", "dict", "." ]
[ "\"\"\"Set a value at dotted path location in self.control_map dict.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "path", "type": null }, { "param": "ctrl", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "path", "type": null, "docstring": null, "docstring_tokens": [...
833b5d9f31d90f0b12c921d21c63dbb3687f6388
JennySnyk/msticpy
msticpy/config/compound_ctrls.py
[ "MIT" ]
Python
_get_val_from_ctrl
<not_specific>
def _get_val_from_ctrl(self, val_dict): """Recursive get values from control dictionary.""" ctrl_val = {} if not val_dict: return val_dict for name, value in val_dict.items(): if isinstance(value, widgets.Label): continue if isinstance(...
Recursive get values from control dictionary.
Recursive get values from control dictionary.
[ "Recursive", "get", "values", "from", "control", "dictionary", "." ]
def _get_val_from_ctrl(self, val_dict): ctrl_val = {} if not val_dict: return val_dict for name, value in val_dict.items(): if isinstance(value, widgets.Label): continue if isinstance(value, dict): ctrl_val[name] = self._get_val...
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Recursive get values from control dictionary.
[ "Recursive", "get", "values", "from", "control", "dictionary", "." ]
[ "\"\"\"Recursive get values from control dictionary.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "val_dict", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "val_dict", "type": null, "docstring": null, "docstring_tokens...
62c190dd3fc6f15275aa028bf7b29e6db401a661
jhpenger/joint-ppo
sonic_on_ray/sonic_on_ray.py
[ "Apache-2.0" ]
Python
make
<not_specific>
def make(game, state, stack=True, scale_rew=True, monitordir='logs/', bk2dir='videos/'): """ Create an environment with some standard wrappers. """ env = retro.make(game, state) if bk2dir: env.auto_record('videos/') if monitordir: #env = Monitor(env, os.path.join(monitordir, 'mon...
Create an environment with some standard wrappers.
Create an environment with some standard wrappers.
[ "Create", "an", "environment", "with", "some", "standard", "wrappers", "." ]
def make(game, state, stack=True, scale_rew=True, monitordir='logs/', bk2dir='videos/'): env = retro.make(game, state) if bk2dir: env.auto_record('videos/') if monitordir: time_int = int(time.time()) env = Monitor(env, os.path.join('monitor_{}.csv'.format(time_int)), os.path.join('lo...
[ "def", "make", "(", "game", ",", "state", ",", "stack", "=", "True", ",", "scale_rew", "=", "True", ",", "monitordir", "=", "'logs/'", ",", "bk2dir", "=", "'videos/'", ")", ":", "env", "=", "retro", ".", "make", "(", "game", ",", "state", ")", "if"...
Create an environment with some standard wrappers.
[ "Create", "an", "environment", "with", "some", "standard", "wrappers", "." ]
[ "\"\"\"\n Create an environment with some standard wrappers.\n \"\"\"", "#env = Monitor(env, os.path.join(monitordir, 'monitor.csv'), os.path.join(monitordir, 'log.csv'))" ]
[ { "param": "game", "type": null }, { "param": "state", "type": null }, { "param": "stack", "type": null }, { "param": "scale_rew", "type": null }, { "param": "monitordir", "type": null }, { "param": "bk2dir", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "game", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "state", "type": null, "docstring": null, "docstring_tokens": ...
106e5d0569862a77a6b62fcecda2f6c5a1e1b411
cadamswaite/reference-pots-app
main.py
[ "MIT" ]
Python
do_auth
<not_specific>
def do_auth(self): ''' Perform OAuth2 flow mostly on command-line and retrieve information of the authorised user's current account information, rather than from joint account, if present. ''' print("Starting OAuth2 flow...") token = input("If you already have a...
Perform OAuth2 flow mostly on command-line and retrieve information of the authorised user's current account information, rather than from joint account, if present.
Perform OAuth2 flow mostly on command-line and retrieve information of the authorised user's current account information, rather than from joint account, if present.
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def do_auth(self): print("Starting OAuth2 flow...") token = input("If you already have a token, enter it now, otherwise press enter to continue") if token == "": self._api_client.start_auth() else: self._api_client.existing_access_token(token) print("OAuth...
[ "def", "do_auth", "(", "self", ")", ":", "print", "(", "\"Starting OAuth2 flow...\"", ")", "token", "=", "input", "(", "\"If you already have a token, enter it now, otherwise press enter to continue\"", ")", "if", "token", "==", "\"\"", ":", "self", ".", "_api_client", ...
Perform OAuth2 flow mostly on command-line and retrieve information of the authorised user's current account information, rather than from joint account, if present.
[ "Perform", "OAuth2", "flow", "mostly", "on", "command", "-", "line", "and", "retrieve", "information", "of", "the", "authorised", "user", "'", "s", "current", "account", "information", "rather", "than", "from", "joint", "account", "if", "present", "." ]
[ "''' Perform OAuth2 flow mostly on command-line and retrieve information of the\n authorised user's current account information, rather than from joint account, \n if present.\n '''", "# We will be operating on personal account only." ]
[ { "param": "self", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
6b2e36202780db2ebdc701b7d00949dfbd17eb93
dsh0416/qiskit-terra
qiskit/mapper/_mapping.py
[ "Apache-2.0" ]
Python
direction_mapper
<not_specific>
def direction_mapper(circuit_graph, coupling_graph): """Change the direction of CNOT gates to conform to CouplingGraph. circuit_graph = input DAGCircuit coupling_graph = corresponding CouplingGraph Adds "h" to the circuit basis. Returns a DAGCircuit object containing a circuit equivalent to c...
Change the direction of CNOT gates to conform to CouplingGraph. circuit_graph = input DAGCircuit coupling_graph = corresponding CouplingGraph Adds "h" to the circuit basis. Returns a DAGCircuit object containing a circuit equivalent to circuit_graph but with CNOT gate directions matching the edge...
Change the direction of CNOT gates to conform to CouplingGraph. Adds "h" to the circuit basis. Returns a DAGCircuit object containing a circuit equivalent to circuit_graph but with CNOT gate directions matching the edges of coupling_graph. Raises an exception if the circuit_graph does not conform to the coupling_grap...
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def direction_mapper(circuit_graph, coupling_graph): if "cx" not in circuit_graph.basis: return circuit_graph if circuit_graph.basis["cx"] != (2, 0, 0): raise MapperError("cx gate has unexpected signature %s" % circuit_graph.basis["cx"]) flipped_cx_circuit = DAGCirc...
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Change the direction of CNOT gates to conform to CouplingGraph.
[ "Change", "the", "direction", "of", "CNOT", "gates", "to", "conform", "to", "CouplingGraph", "." ]
[ "\"\"\"Change the direction of CNOT gates to conform to CouplingGraph.\n\n circuit_graph = input DAGCircuit\n coupling_graph = corresponding CouplingGraph\n\n Adds \"h\" to the circuit basis.\n\n Returns a DAGCircuit object containing a circuit equivalent to\n circuit_graph but with CNOT gate directi...
[ { "param": "circuit_graph", "type": null }, { "param": "coupling_graph", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "circuit_graph", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "coupling_graph", "type": null, "docstring": null, "d...
6b2e36202780db2ebdc701b7d00949dfbd17eb93
dsh0416/qiskit-terra
qiskit/mapper/_mapping.py
[ "Apache-2.0" ]
Python
swap_mapper_layer_update
<not_specific>
def swap_mapper_layer_update(i, first_layer, best_layout, best_d, best_circ, layer_list): """Update the QASM string for an iteration of swap_mapper. i = layer number first_layer = True if this is the first layer with multi-qubit gates best_layout = layout returned from swap...
Update the QASM string for an iteration of swap_mapper. i = layer number first_layer = True if this is the first layer with multi-qubit gates best_layout = layout returned from swap algorithm best_d = depth returned from swap algorithm best_circ = swap circuit returned from swap algorithm layer...
Update the QASM string for an iteration of swap_mapper. Return DAGCircuit object to append to the output DAGCircuit.
[ "Update", "the", "QASM", "string", "for", "an", "iteration", "of", "swap_mapper", ".", "Return", "DAGCircuit", "object", "to", "append", "to", "the", "output", "DAGCircuit", "." ]
def swap_mapper_layer_update(i, first_layer, best_layout, best_d, best_circ, layer_list): layout = best_layout layout_max_index = max(map(lambda x: x[1]+1, layout.values())) dagcircuit_output = DAGCircuit() dagcircuit_output.add_qreg("q", layout_max_index) identity_wire_...
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Update the QASM string for an iteration of swap_mapper.
[ "Update", "the", "QASM", "string", "for", "an", "iteration", "of", "swap_mapper", "." ]
[ "\"\"\"Update the QASM string for an iteration of swap_mapper.\n\n i = layer number\n first_layer = True if this is the first layer with multi-qubit gates\n best_layout = layout returned from swap algorithm\n best_d = depth returned from swap algorithm\n best_circ = swap circuit returned from swap al...
[ { "param": "i", "type": null }, { "param": "first_layer", "type": null }, { "param": "best_layout", "type": null }, { "param": "best_d", "type": null }, { "param": "best_circ", "type": null }, { "param": "layer_list", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "i", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "first_layer", "type": null, "docstring": null, "docstring_tokens...
6b2e36202780db2ebdc701b7d00949dfbd17eb93
dsh0416/qiskit-terra
qiskit/mapper/_mapping.py
[ "Apache-2.0" ]
Python
swap_mapper
<not_specific>
def swap_mapper(circuit_graph, coupling_graph, initial_layout=None, basis="cx,u1,u2,u3,id", trials=20, seed=None): """Map a DAGCircuit onto a CouplingGraph using swap gates. Args: circuit_graph (DAGCircuit): input DAG circuit coupling_graph (CouplingGraph): coupl...
Map a DAGCircuit onto a CouplingGraph using swap gates. Args: circuit_graph (DAGCircuit): input DAG circuit coupling_graph (CouplingGraph): coupling graph to map onto initial_layout (dict): dict from qubits of circuit_graph to qubits of coupling_graph (optional) basis (s...
Map a DAGCircuit onto a CouplingGraph using swap gates.
[ "Map", "a", "DAGCircuit", "onto", "a", "CouplingGraph", "using", "swap", "gates", "." ]
def swap_mapper(circuit_graph, coupling_graph, initial_layout=None, basis="cx,u1,u2,u3,id", trials=20, seed=None): if circuit_graph.width() > coupling_graph.size(): raise MapperError("Not enough qubits in CouplingGraph") layerlist = list(circuit_graph.layers()) logger...
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Map a DAGCircuit onto a CouplingGraph using swap gates.
[ "Map", "a", "DAGCircuit", "onto", "a", "CouplingGraph", "using", "swap", "gates", "." ]
[ "\"\"\"Map a DAGCircuit onto a CouplingGraph using swap gates.\n\n Args:\n circuit_graph (DAGCircuit): input DAG circuit\n coupling_graph (CouplingGraph): coupling graph to map onto\n initial_layout (dict): dict from qubits of circuit_graph to qubits\n of coupling_graph (optional)...
[ { "param": "circuit_graph", "type": null }, { "param": "coupling_graph", "type": null }, { "param": "initial_layout", "type": null }, { "param": "basis", "type": null }, { "param": "trials", "type": null }, { "param": "seed", "type": null } ]
{ "returns": [ { "docstring": "object containing a circuit equivalent to\ncircuit_graph that respects couplings in coupling_graph, and\na layout dict mapping qubits of circuit_graph into qubits\nof coupling_graph. The layout may differ from the initial_layout\nif the first layer of gates cannot be executed ...
6b2e36202780db2ebdc701b7d00949dfbd17eb93
dsh0416/qiskit-terra
qiskit/mapper/_mapping.py
[ "Apache-2.0" ]
Python
optimize_1q_gates
<not_specific>
def optimize_1q_gates(circuit): """Simplify runs of single qubit gates in the QX basis. Return a new circuit that has been optimized. """ qx_basis = ["u1", "u2", "u3", "cx", "id"] dag_unroller = DagUnroller(circuit, DAGBackend(qx_basis)) unrolled = dag_unroller.expand_gates() runs = unroll...
Simplify runs of single qubit gates in the QX basis. Return a new circuit that has been optimized.
Simplify runs of single qubit gates in the QX basis. Return a new circuit that has been optimized.
[ "Simplify", "runs", "of", "single", "qubit", "gates", "in", "the", "QX", "basis", ".", "Return", "a", "new", "circuit", "that", "has", "been", "optimized", "." ]
def optimize_1q_gates(circuit): qx_basis = ["u1", "u2", "u3", "cx", "id"] dag_unroller = DagUnroller(circuit, DAGBackend(qx_basis)) unrolled = dag_unroller.expand_gates() runs = unrolled.collect_runs(["u1", "u2", "u3", "id"]) for run in runs: qname = unrolled.multi_graph.node[run[0]]["qargs"...
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Simplify runs of single qubit gates in the QX basis.
[ "Simplify", "runs", "of", "single", "qubit", "gates", "in", "the", "QX", "basis", "." ]
[ "\"\"\"Simplify runs of single qubit gates in the QX basis.\n\n Return a new circuit that has been optimized.\n \"\"\"", "# (theta, phi, lambda)", "# replace id with u1", "# Compose gates", "# u1(lambda1) * u1(lambda2) = u1(lambda1 + lambda2)", "# u1(lambda1) * u2(phi2, lambda2) = u2(phi2 + lambda1,...
[ { "param": "circuit", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "circuit", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
6b2e36202780db2ebdc701b7d00949dfbd17eb93
dsh0416/qiskit-terra
qiskit/mapper/_mapping.py
[ "Apache-2.0" ]
Python
remove_last_measurements
<not_specific>
def remove_last_measurements(dag_circuit, perform_remove=True): """Removes all measurements that occur as the last operation on a given qubit for a DAG circuit. Measurements that are followed by additional gates are untouched. This operation is done in-place on the input DAG circuit if perform_pop=Tru...
Removes all measurements that occur as the last operation on a given qubit for a DAG circuit. Measurements that are followed by additional gates are untouched. This operation is done in-place on the input DAG circuit if perform_pop=True. Parameters: dag_circuit (qiskit.dagcircuit._dagcircuit....
Removes all measurements that occur as the last operation on a given qubit for a DAG circuit. Measurements that are followed by additional gates are untouched. This operation is done in-place on the input DAG circuit if perform_pop=True.
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def remove_last_measurements(dag_circuit, perform_remove=True): removed_meas = [] try: meas_nodes = dag_circuit.get_named_nodes('measure') except DAGCircuitError: return removed_meas for idx in meas_nodes: _, succ_map = dag_circuit._make_pred_succ_maps(idx) if len(succ_ma...
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Removes all measurements that occur as the last operation on a given qubit for a DAG circuit.
[ "Removes", "all", "measurements", "that", "occur", "as", "the", "last", "operation", "on", "a", "given", "qubit", "for", "a", "DAG", "circuit", "." ]
[ "\"\"\"Removes all measurements that occur as the last operation\n on a given qubit for a DAG circuit. Measurements that are followed by\n additional gates are untouched.\n\n This operation is done in-place on the input DAG circuit if perform_pop=True.\n\n Parameters:\n dag_circuit (qiskit.dagci...
[ { "param": "dag_circuit", "type": null }, { "param": "perform_remove", "type": null } ]
{ "returns": [ { "docstring": "List of all measurements that were removed.", "docstring_tokens": [ "List", "of", "all", "measurements", "that", "were", "removed", "." ], "type": "list" } ], "raises": [], "params": [ ...
6b2e36202780db2ebdc701b7d00949dfbd17eb93
dsh0416/qiskit-terra
qiskit/mapper/_mapping.py
[ "Apache-2.0" ]
Python
return_last_measurements
null
def return_last_measurements(dag_circuit, removed_meas, final_layout): """Returns the measurements to a quantum circuit, removed by `remove_last_measurements` after the swap mapper is finished. This operation is done in-place on the input DAG circuit. Parameters: dag_circuit (qiskit.dagcircuit...
Returns the measurements to a quantum circuit, removed by `remove_last_measurements` after the swap mapper is finished. This operation is done in-place on the input DAG circuit. Parameters: dag_circuit (qiskit.dagcircuit._dagcircuit.DAGCircuit): DAG circuit. removed_meas (list): List of me...
Returns the measurements to a quantum circuit, removed by `remove_last_measurements` after the swap mapper is finished. This operation is done in-place on the input DAG circuit.
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def return_last_measurements(dag_circuit, removed_meas, final_layout): if any(removed_meas) and 'measure' not in dag_circuit.basis.keys(): dag_circuit.add_basis_element("measure", 1, 1, 0) for meas in removed_meas: new_q_label = final_layout[meas['qargs'][0]] dag_circuit.apply_operation_...
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Returns the measurements to a quantum circuit, removed by `remove_last_measurements` after the swap mapper is finished.
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[ "\"\"\"Returns the measurements to a quantum circuit, removed by\n `remove_last_measurements` after the swap mapper is finished.\n\n This operation is done in-place on the input DAG circuit.\n\n Parameters:\n dag_circuit (qiskit.dagcircuit._dagcircuit.DAGCircuit): DAG circuit.\n removed_meas ...
[ { "param": "dag_circuit", "type": null }, { "param": "removed_meas", "type": null }, { "param": "final_layout", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "dag_circuit", "type": null, "docstring": null, "docstring_tokens": [ "None" ], "default": null, "is_optional": false }, { "identifier": "removed_meas", "type": null, "docstri...
d87b4f22864c527e12f4fd9fd24fadaaf3dbae4d
dsh0416/qiskit-terra
qiskit/_util.py
[ "Apache-2.0" ]
Python
_check_python_version
null
def _check_python_version(): """Check for Python version 3.5+ """ if sys.version_info < (3, 5): raise Exception('QISKit requires Python version 3.5 or greater.')
Check for Python version 3.5+
Check for Python version 3.5+
[ "Check", "for", "Python", "version", "3", ".", "5", "+" ]
def _check_python_version(): if sys.version_info < (3, 5): raise Exception('QISKit requires Python version 3.5 or greater.')
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Check for Python version 3.5+
[ "Check", "for", "Python", "version", "3", ".", "5", "+" ]
[ "\"\"\"Check for Python version 3.5+\n \"\"\"" ]
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
d87b4f22864c527e12f4fd9fd24fadaaf3dbae4d
dsh0416/qiskit-terra
qiskit/_util.py
[ "Apache-2.0" ]
Python
_check_ibmqx_version
<not_specific>
def _check_ibmqx_version(): """Check if the available IBMQuantumExperience version is the required one. Check that the installed "IBMQuantumExperience" package version matches the version required by the package, emitting a warning if it is not present. Note: The check is only performed when `...
Check if the available IBMQuantumExperience version is the required one. Check that the installed "IBMQuantumExperience" package version matches the version required by the package, emitting a warning if it is not present. Note: The check is only performed when `qiskit` is installed via `pip` ...
Check if the available IBMQuantumExperience version is the required one. Check that the installed "IBMQuantumExperience" package version matches the version required by the package, emitting a warning if it is not present.
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def _check_ibmqx_version(): try: import pkg_resources working_set = pkg_resources.working_set qiskit_pkg = working_set.by_key['qiskit'] except (ImportError, KeyError): return ibmqx_require = next(r for r in qiskit_pkg.requires() if r.name == API_NAME)...
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Check if the available IBMQuantumExperience version is the required one.
[ "Check", "if", "the", "available", "IBMQuantumExperience", "version", "is", "the", "required", "one", "." ]
[ "\"\"\"Check if the available IBMQuantumExperience version is the required one.\n\n Check that the installed \"IBMQuantumExperience\" package version matches the\n version required by the package, emitting a warning if it is not present.\n\n Note:\n The check is only performed when `qiskit` is insta...
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
d87b4f22864c527e12f4fd9fd24fadaaf3dbae4d
dsh0416/qiskit-terra
qiskit/_util.py
[ "Apache-2.0" ]
Python
_enable_deprecation_warnings
null
def _enable_deprecation_warnings(): """ Force the `DeprecationWarning` warnings to be displayed for the qiskit module, overriding the system configuration as they are ignored by default [1] for end-users. TODO: on Python 3.7, this might not be needed due to PEP-0565 [2]. [1] https://docs.pytho...
Force the `DeprecationWarning` warnings to be displayed for the qiskit module, overriding the system configuration as they are ignored by default [1] for end-users. TODO: on Python 3.7, this might not be needed due to PEP-0565 [2]. [1] https://docs.python.org/3/library/warnings.html#default-warni...
Force the `DeprecationWarning` warnings to be displayed for the qiskit module, overriding the system configuration as they are ignored by default [1] for end-users. on Python 3.7, this might not be needed due to PEP-0565 [2].
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def _enable_deprecation_warnings(): deprecation_filter = ('always', None, DeprecationWarning, re.compile(r'^qiskit\.*', re.UNICODE), 0) try: warnings._add_filter(*deprecation_filter, append=False) except AttributeError: pass
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Force the `DeprecationWarning` warnings to be displayed for the qiskit module, overriding the system configuration as they are ignored by default [1] for end-users.
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[ "\"\"\"\n Force the `DeprecationWarning` warnings to be displayed for the qiskit\n module, overriding the system configuration as they are ignored by default\n [1] for end-users.\n\n TODO: on Python 3.7, this might not be needed due to PEP-0565 [2].\n\n [1] https://docs.python.org/3/library/warnings....
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [] }
d87b4f22864c527e12f4fd9fd24fadaaf3dbae4d
dsh0416/qiskit-terra
qiskit/_util.py
[ "Apache-2.0" ]
Python
_parse_ibmq_credentials
<not_specific>
def _parse_ibmq_credentials(url, hub=None, group=None, project=None): """Converts old Q network credentials to new url only format, if needed. """ if any([hub, group, project]): url = "https://q-console-api.mybluemix.net/api/" + \ "Hubs/{hub}/Groups/{group}/Projects/{project}" ...
Converts old Q network credentials to new url only format, if needed.
Converts old Q network credentials to new url only format, if needed.
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def _parse_ibmq_credentials(url, hub=None, group=None, project=None): if any([hub, group, project]): url = "https://q-console-api.mybluemix.net/api/" + \ "Hubs/{hub}/Groups/{group}/Projects/{project}" url = url.format(hub=hub, group=group, project=project) warnings.warn( ...
[ "def", "_parse_ibmq_credentials", "(", "url", ",", "hub", "=", "None", ",", "group", "=", "None", ",", "project", "=", "None", ")", ":", "if", "any", "(", "[", "hub", ",", "group", ",", "project", "]", ")", ":", "url", "=", "\"https://q-console-api.myb...
Converts old Q network credentials to new url only format, if needed.
[ "Converts", "old", "Q", "network", "credentials", "to", "new", "url", "only", "format", "if", "needed", "." ]
[ "\"\"\"Converts old Q network credentials to new url only\n format, if needed.\n \"\"\"" ]
[ { "param": "url", "type": null }, { "param": "hub", "type": null }, { "param": "group", "type": null }, { "param": "project", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "url", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "hub", "type": null, "docstring": null, "docstring_tokens": [],...
d87b4f22864c527e12f4fd9fd24fadaaf3dbae4d
dsh0416/qiskit-terra
qiskit/_util.py
[ "Apache-2.0" ]
Python
local_hardware_info
<not_specific>
def local_hardware_info(): """Basic hardware information about the local machine. Gives actual number of CPU's in the machine, even when hyperthreading is turned on. Returns: dict: The hardware information. """ results = {'os': platform.system()} results['memory'] = psutil.virtual...
Basic hardware information about the local machine. Gives actual number of CPU's in the machine, even when hyperthreading is turned on. Returns: dict: The hardware information.
Basic hardware information about the local machine. Gives actual number of CPU's in the machine, even when hyperthreading is turned on.
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def local_hardware_info(): results = {'os': platform.system()} results['memory'] = psutil.virtual_memory().total / (1024**3) results['cpus'] = psutil.cpu_count(logical=False) return results
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Basic hardware information about the local machine.
[ "Basic", "hardware", "information", "about", "the", "local", "machine", "." ]
[ "\"\"\"Basic hardware information about the local machine.\n\n Gives actual number of CPU's in the machine, even when hyperthreading is\n turned on.\n\n Returns:\n dict: The hardware information.\n\n \"\"\"" ]
[]
{ "returns": [ { "docstring": "The hardware information.", "docstring_tokens": [ "The", "hardware", "information", "." ], "type": "dict" } ], "raises": [], "params": [], "outlier_params": [], "others": [] }
d87b4f22864c527e12f4fd9fd24fadaaf3dbae4d
dsh0416/qiskit-terra
qiskit/_util.py
[ "Apache-2.0" ]
Python
_has_connection
<not_specific>
def _has_connection(hostname, port): """Checks to see if internet connection exists to host via specified port Args: hostname (str): Hostname to connect to. port (int): Port to connect to Returns: bool: Has connection or not Raises: gaierror: No connection establis...
Checks to see if internet connection exists to host via specified port Args: hostname (str): Hostname to connect to. port (int): Port to connect to Returns: bool: Has connection or not Raises: gaierror: No connection established.
Checks to see if internet connection exists to host via specified port
[ "Checks", "to", "see", "if", "internet", "connection", "exists", "to", "host", "via", "specified", "port" ]
def _has_connection(hostname, port): try: host = socket.gethostbyname(hostname) socket.create_connection((host, port), 2) return True except socket.gaierror: pass return False
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Checks to see if internet connection exists to host via specified port
[ "Checks", "to", "see", "if", "internet", "connection", "exists", "to", "host", "via", "specified", "port" ]
[ "\"\"\"Checks to see if internet connection exists to host\n via specified port\n\n Args:\n hostname (str): Hostname to connect to.\n port (int): Port to connect to\n\n Returns:\n bool: Has connection or not\n\n Raises:\n gaierror: No connection established.\n \"\"\"" ]
[ { "param": "hostname", "type": null }, { "param": "port", "type": null } ]
{ "returns": [ { "docstring": "Has connection or not", "docstring_tokens": [ "Has", "connection", "or", "not" ], "type": "bool" } ], "raises": [ { "docstring": "No connection established.", "docstring_tokens": [ "No", ...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
SPSA_optimization
<not_specific>
def SPSA_optimization(obj_fun, initial_theta, SPSA_parameters, max_trials, save_steps=1, last_avg=1): """Minimizes obj_fun(theta) with a simultaneous perturbation stochastic approximation algorithm. Args: obj_fun (callable): the function to minimize initial_theta (nump...
Minimizes obj_fun(theta) with a simultaneous perturbation stochastic approximation algorithm. Args: obj_fun (callable): the function to minimize initial_theta (numpy.array): initial value for the variables of obj_fun SPSA_parameters (list[float]) : the parameters of the SPS...
Minimizes obj_fun(theta) with a simultaneous perturbation stochastic approximation algorithm.
[ "Minimizes", "obj_fun", "(", "theta", ")", "with", "a", "simultaneous", "perturbation", "stochastic", "approximation", "algorithm", "." ]
def SPSA_optimization(obj_fun, initial_theta, SPSA_parameters, max_trials, save_steps=1, last_avg=1): theta_plus_save = [] theta_minus_save = [] cost_plus_save = [] cost_minus_save = [] theta = initial_theta theta_best = np.zeros(initial_theta.shape) circuits = [] f...
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Minimizes obj_fun(theta) with a simultaneous perturbation stochastic approximation algorithm.
[ "Minimizes", "obj_fun", "(", "theta", ")", "with", "a", "simultaneous", "perturbation", "stochastic", "approximation", "algorithm", "." ]
[ "\"\"\"Minimizes obj_fun(theta) with a simultaneous perturbation stochastic\n approximation algorithm.\n\n Args:\n obj_fun (callable): the function to minimize\n initial_theta (numpy.array): initial value for the variables of\n obj_fun\n SPSA_parameters (list[float]) : the par...
[ { "param": "obj_fun", "type": null }, { "param": "initial_theta", "type": null }, { "param": "SPSA_parameters", "type": null }, { "param": "max_trials", "type": null }, { "param": "save_steps", "type": null }, { "param": "last_avg", "type": null ...
{ "returns": [ { "docstring": "a list with the following elements:\ncost_final : final optimized value for obj_fun\ntheta_best : final values of the variables corresponding to\ncost_final\ncost_plus_save : array of stored values for obj_fun along the\noptimization in the + direction\ncost_minus_save : array...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
SPSA_calibration
<not_specific>
def SPSA_calibration(obj_fun, initial_theta, initial_c, target_update, stat): """Calibrates and returns the SPSA parameters. Args: obj_fun (callable): the function to minimize. initial_theta (numpy.array): initial value for the variables of obj_fun. initial_c (float) : first...
Calibrates and returns the SPSA parameters. Args: obj_fun (callable): the function to minimize. initial_theta (numpy.array): initial value for the variables of obj_fun. initial_c (float) : first perturbation of intitial_theta. target_update (float) : the aimed update of ...
Calibrates and returns the SPSA parameters.
[ "Calibrates", "and", "returns", "the", "SPSA", "parameters", "." ]
def SPSA_calibration(obj_fun, initial_theta, initial_c, target_update, stat): SPSA_parameters = np.zeros((5)) SPSA_parameters[1] = initial_c SPSA_parameters[2] = 0.602 SPSA_parameters[3] = 0.101 SPSA_parameters[4] = 0 delta_obj = 0 circuits = [] for i in range(stat): if i % 5 == ...
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Calibrates and returns the SPSA parameters.
[ "Calibrates", "and", "returns", "the", "SPSA", "parameters", "." ]
[ "\"\"\"Calibrates and returns the SPSA parameters.\n\n Args:\n obj_fun (callable): the function to minimize.\n initial_theta (numpy.array): initial value for the variables of\n obj_fun.\n initial_c (float) : first perturbation of intitial_theta.\n target_update (float) : th...
[ { "param": "obj_fun", "type": null }, { "param": "initial_theta", "type": null }, { "param": "initial_c", "type": null }, { "param": "target_update", "type": null }, { "param": "stat", "type": null } ]
{ "returns": [ { "docstring": "An array of 5 SPSA_parameters to use in the optimization.\nlist[QuantumCircuit]: the circuits used in calibration", "docstring_tokens": [ "An", "array", "of", "5", "SPSA_parameters", "to", "use", "in", ...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
measure_pauli_z
<not_specific>
def measure_pauli_z(data, pauli): """Compute the expectation value of Z. Z is represented by Z^v where v has lenght number of qubits and is 1 if Z is present and 0 otherwise. Args: data (dict): a dictionary of the form data = {'00000': 10} pauli (Pauli): a Pauli object Returns: ...
Compute the expectation value of Z. Z is represented by Z^v where v has lenght number of qubits and is 1 if Z is present and 0 otherwise. Args: data (dict): a dictionary of the form data = {'00000': 10} pauli (Pauli): a Pauli object Returns: float: Expected value of pauli given...
Compute the expectation value of Z. Z is represented by Z^v where v has lenght number of qubits and is 1 if Z is present and 0 otherwise.
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def measure_pauli_z(data, pauli): observable = 0 tot = sum(data.values()) for key in data: value = 1 for j in range(pauli.numberofqubits): if ((pauli.v[j] == 1 or pauli.w[j] == 1) and key[pauli.numberofqubits - j - 1] == '1'): value = -value ...
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Compute the expectation value of Z.
[ "Compute", "the", "expectation", "value", "of", "Z", "." ]
[ "\"\"\"Compute the expectation value of Z.\n\n Z is represented by Z^v where v has lenght number of qubits and is 1\n if Z is present and 0 otherwise.\n\n Args:\n data (dict): a dictionary of the form data = {'00000': 10}\n pauli (Pauli): a Pauli object\n Returns:\n float: Expected ...
[ { "param": "data", "type": null }, { "param": "pauli", "type": null } ]
{ "returns": [ { "docstring": "Expected value of pauli given data", "docstring_tokens": [ "Expected", "value", "of", "pauli", "given", "data" ], "type": "float" } ], "raises": [], "params": [ { "identifier": "data", ...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
Energy_Estimate
<not_specific>
def Energy_Estimate(data, pauli_list): """Compute expectation value of a list of diagonal Paulis with coefficients given measurement data. If somePaulis are non-diagonal appropriate post-rotations had to be performed in the collection of data Args: data (dict): output of the execution of a quan...
Compute expectation value of a list of diagonal Paulis with coefficients given measurement data. If somePaulis are non-diagonal appropriate post-rotations had to be performed in the collection of data Args: data (dict): output of the execution of a quantum program pauli_list (list): list of...
Compute expectation value of a list of diagonal Paulis with coefficients given measurement data. If somePaulis are non-diagonal appropriate post-rotations had to be performed in the collection of data
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def Energy_Estimate(data, pauli_list): energy = 0 if np.ndim(pauli_list) == 1: energy = pauli_list[0] * measure_pauli_z(data, pauli_list[1]) else: for p in pauli_list: energy += p[0] * measure_pauli_z(data, p[1]) return energy
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Compute expectation value of a list of diagonal Paulis with coefficients given measurement data.
[ "Compute", "expectation", "value", "of", "a", "list", "of", "diagonal", "Paulis", "with", "coefficients", "given", "measurement", "data", "." ]
[ "\"\"\"Compute expectation value of a list of diagonal Paulis with\n coefficients given measurement data. If somePaulis are non-diagonal\n appropriate post-rotations had to be performed in the collection of data\n\n Args:\n data (dict): output of the execution of a quantum program\n pauli_lis...
[ { "param": "data", "type": null }, { "param": "pauli_list", "type": null } ]
{ "returns": [ { "docstring": "The expectation value", "docstring_tokens": [ "The", "expectation", "value" ], "type": "float" } ], "raises": [], "params": [ { "identifier": "data", "type": null, "docstring": "output of the execution o...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
index_2_bit
<not_specific>
def index_2_bit(state_index, num_bits): """Returns bit string corresponding to quantum state index Args: state_index (int): basis index of a quantum state num_bits (int): the number of bits in the returned string Returns: numpy.array: A integer array with the binary representation o...
Returns bit string corresponding to quantum state index Args: state_index (int): basis index of a quantum state num_bits (int): the number of bits in the returned string Returns: numpy.array: A integer array with the binary representation of state_index
Returns bit string corresponding to quantum state index
[ "Returns", "bit", "string", "corresponding", "to", "quantum", "state", "index" ]
def index_2_bit(state_index, num_bits): return np.array([int(c) for c in np.binary_repr(state_index, num_bits)[::-1]], dtype=np.uint8)
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Returns bit string corresponding to quantum state index
[ "Returns", "bit", "string", "corresponding", "to", "quantum", "state", "index" ]
[ "\"\"\"Returns bit string corresponding to quantum state index\n\n Args:\n state_index (int): basis index of a quantum state\n num_bits (int): the number of bits in the returned string\n Returns:\n numpy.array: A integer array with the binary representation of\n state_index\n ...
[ { "param": "state_index", "type": null }, { "param": "num_bits", "type": null } ]
{ "returns": [ { "docstring": "A integer array with the binary representation of\nstate_index", "docstring_tokens": [ "A", "integer", "array", "with", "the", "binary", "representation", "of", "state_index" ], "type": "...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
group_paulis
<not_specific>
def group_paulis(pauli_list): """ Groups a list of (coeff,Pauli) tuples into tensor product basis (tpb) sets Args: pauli_list (list): a list of (coeff, Pauli object) tuples. Returns: list: A list of tpb sets, each one being a list of (coeff, Pauli object) tuples. """ ...
Groups a list of (coeff,Pauli) tuples into tensor product basis (tpb) sets Args: pauli_list (list): a list of (coeff, Pauli object) tuples. Returns: list: A list of tpb sets, each one being a list of (coeff, Pauli object) tuples.
Groups a list of (coeff,Pauli) tuples into tensor product basis (tpb) sets
[ "Groups", "a", "list", "of", "(", "coeff", "Pauli", ")", "tuples", "into", "tensor", "product", "basis", "(", "tpb", ")", "sets" ]
def group_paulis(pauli_list): n = len(pauli_list[0][1].v) pauli_list_grouped = [] pauli_list_sorted = [] for p_1 in pauli_list: if p_1 not in pauli_list_sorted: pauli_list_temp = [] pauli_list_temp.append(list(p_1)) pauli_list_temp.append(copy.deepcopy(list(p_...
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Groups a list of (coeff,Pauli) tuples into tensor product basis (tpb) sets
[ "Groups", "a", "list", "of", "(", "coeff", "Pauli", ")", "tuples", "into", "tensor", "product", "basis", "(", "tpb", ")", "sets" ]
[ "\"\"\"\n Groups a list of (coeff,Pauli) tuples into tensor product basis (tpb) sets\n\n Args:\n pauli_list (list): a list of (coeff, Pauli object) tuples.\n Returns:\n list: A list of tpb sets, each one being a list of (coeff, Pauli\n object) tuples.\n \"\"\"", "# pauli_list_...
[ { "param": "pauli_list", "type": null } ]
{ "returns": [ { "docstring": "A list of tpb sets, each one being a list of (coeff, Pauli\nobject) tuples.", "docstring_tokens": [ "A", "list", "of", "tpb", "sets", "each", "one", "being", "a", "list", "of", ...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
print_pauli_list_grouped
null
def print_pauli_list_grouped(pauli_list_grouped): """Print a list of Pauli operators which has been grouped into tensor product basis (tpb) sets. Args: pauli_list_grouped (list of lists of (coeff, pauli) tuples): the list of Pauli operators grouped into tpb sets """ for i, _ in ...
Print a list of Pauli operators which has been grouped into tensor product basis (tpb) sets. Args: pauli_list_grouped (list of lists of (coeff, pauli) tuples): the list of Pauli operators grouped into tpb sets
Print a list of Pauli operators which has been grouped into tensor product basis (tpb) sets.
[ "Print", "a", "list", "of", "Pauli", "operators", "which", "has", "been", "grouped", "into", "tensor", "product", "basis", "(", "tpb", ")", "sets", "." ]
def print_pauli_list_grouped(pauli_list_grouped): for i, _ in enumerate(pauli_list_grouped): print('Post Rotations of TPB set ' + str(i) + ':') print(pauli_list_grouped[i][0][1].to_label()) print(str(pauli_list_grouped[i][0][0]) + '\n') for j in range((len(pauli_list_grouped[i]) - 1)...
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Print a list of Pauli operators which has been grouped into tensor product basis (tpb) sets.
[ "Print", "a", "list", "of", "Pauli", "operators", "which", "has", "been", "grouped", "into", "tensor", "product", "basis", "(", "tpb", ")", "sets", "." ]
[ "\"\"\"Print a list of Pauli operators which has been grouped into tensor\n product basis (tpb) sets.\n\n Args:\n pauli_list_grouped (list of lists of (coeff, pauli) tuples): the\n list of Pauli operators grouped into tpb sets\n \"\"\"" ]
[ { "param": "pauli_list_grouped", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "pauli_list_grouped", "type": null, "docstring": "the\nlist of Pauli operators grouped into tpb sets", "docstring_tokens": [ "the", "list", "of", "Pauli", "operators", "grouped", ...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
eval_hamiltonian
<not_specific>
def eval_hamiltonian(hamiltonian, input_circuit, shots, device): """Calculates the average value of a Hamiltonian on a state created by the input circuit Args: hamiltonian (array or matrix or list): a representation of the Hamiltonian or observables to be measured. If it is a list, it ...
Calculates the average value of a Hamiltonian on a state created by the input circuit Args: hamiltonian (array or matrix or list): a representation of the Hamiltonian or observables to be measured. If it is a list, it is a list of Pauli operators grouped into tpb sets. ...
Calculates the average value of a Hamiltonian on a state created by the input circuit
[ "Calculates", "the", "average", "value", "of", "a", "Hamiltonian", "on", "a", "state", "created", "by", "the", "input", "circuit" ]
def eval_hamiltonian(hamiltonian, input_circuit, shots, device): energy = 0 circuits = [] if 'statevector' in device: circuits.append(input_circuit) if not isinstance(hamiltonian, list): result = execute(circuits, device, shots=shots).result() statevector = result.get...
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Calculates the average value of a Hamiltonian on a state created by the input circuit
[ "Calculates", "the", "average", "value", "of", "a", "Hamiltonian", "on", "a", "state", "created", "by", "the", "input", "circuit" ]
[ "\"\"\"Calculates the average value of a Hamiltonian on a state created by the\n input circuit\n\n Args:\n hamiltonian (array or matrix or list): a representation of the\n Hamiltonian or observables to be measured. If it is a list, it is\n a list of Pauli operators grouped into t...
[ { "param": "hamiltonian", "type": null }, { "param": "input_circuit", "type": null }, { "param": "shots", "type": null }, { "param": "device", "type": null } ]
{ "returns": [ { "docstring": "Average value of the Hamiltonian or observable.", "docstring_tokens": [ "Average", "value", "of", "the", "Hamiltonian", "or", "observable", "." ], "type": "float" } ], "raises": [], "pa...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
trial_circuit_ry
<not_specific>
def trial_circuit_ry(n, m, theta, entangler_map, meas_string=None, measurement=True): """Creates a QuantumCircuit object ocnsisting in layers of parametrized single-qubit Y rotations and CZ two-qubit gates Args: n (int): number of qubits m (int): depth of the circuit ...
Creates a QuantumCircuit object ocnsisting in layers of parametrized single-qubit Y rotations and CZ two-qubit gates Args: n (int): number of qubits m (int): depth of the circuit theta (array[float]): angles that parametrize the Y rotations entangler_map (dict): CZ connectivity,...
Creates a QuantumCircuit object ocnsisting in layers of parametrized single-qubit Y rotations and CZ two-qubit gates
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def trial_circuit_ry(n, m, theta, entangler_map, meas_string=None, measurement=True): q = QuantumRegister(n, "q") c = ClassicalRegister(n, "c") trial_circuit = QuantumCircuit(q, c) trial_circuit.h(q) if meas_string is None: meas_string = [None for x in range(n)] for ...
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Creates a QuantumCircuit object ocnsisting in layers of parametrized single-qubit Y rotations and CZ two-qubit gates
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[ "\"\"\"Creates a QuantumCircuit object ocnsisting in layers of\n parametrized single-qubit Y rotations and CZ two-qubit gates\n\n Args:\n n (int): number of qubits\n m (int): depth of the circuit\n theta (array[float]): angles that parametrize the Y rotations\n entangler_map (dict)...
[ { "param": "n", "type": null }, { "param": "m", "type": null }, { "param": "theta", "type": null }, { "param": "entangler_map", "type": null }, { "param": "meas_string", "type": null }, { "param": "measurement", "type": null } ]
{ "returns": [ { "docstring": "A QuantumCircuit object", "docstring_tokens": [ "A", "QuantumCircuit", "object" ], "type": "QuantumCircuit" } ], "raises": [], "params": [ { "identifier": "n", "type": null, "docstring": "number of qubit...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
trial_circuit_ryrz
<not_specific>
def trial_circuit_ryrz(n, m, theta, entangler_map, meas_string=None, measurement=True): """Creates a QuantumCircuit object consisting in layers of parametrized single-qubit Y and Z rotations and CZ two-qubit gates Args: n (int): number of qubits m (int): depth of the ...
Creates a QuantumCircuit object consisting in layers of parametrized single-qubit Y and Z rotations and CZ two-qubit gates Args: n (int): number of qubits m (int): depth of the circuit theta (array[float]): angles that parametrize the Y and Z rotations entangler_map (dict): CZ c...
Creates a QuantumCircuit object consisting in layers of parametrized single-qubit Y and Z rotations and CZ two-qubit gates
[ "Creates", "a", "QuantumCircuit", "object", "consisting", "in", "layers", "of", "parametrized", "single", "-", "qubit", "Y", "and", "Z", "rotations", "and", "CZ", "two", "-", "qubit", "gates" ]
def trial_circuit_ryrz(n, m, theta, entangler_map, meas_string=None, measurement=True): q = QuantumRegister(n, "q") c = ClassicalRegister(n, "c") trial_circuit = QuantumCircuit(q, c) trial_circuit.h(q) if meas_string is None: meas_string = [None for x in range(n)] ...
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Creates a QuantumCircuit object consisting in layers of parametrized single-qubit Y and Z rotations and CZ two-qubit gates
[ "Creates", "a", "QuantumCircuit", "object", "consisting", "in", "layers", "of", "parametrized", "single", "-", "qubit", "Y", "and", "Z", "rotations", "and", "CZ", "two", "-", "qubit", "gates" ]
[ "\"\"\"Creates a QuantumCircuit object consisting in layers of\n parametrized single-qubit Y and Z rotations and CZ two-qubit gates\n\n Args:\n n (int): number of qubits\n m (int): depth of the circuit\n theta (array[float]): angles that parametrize the Y and Z rotations\n entangle...
[ { "param": "n", "type": null }, { "param": "m", "type": null }, { "param": "theta", "type": null }, { "param": "entangler_map", "type": null }, { "param": "meas_string", "type": null }, { "param": "measurement", "type": null } ]
{ "returns": [ { "docstring": "A QuantumCircuit object", "docstring_tokens": [ "A", "QuantumCircuit", "object" ], "type": "QuantumCircuit" } ], "raises": [], "params": [ { "identifier": "n", "type": null, "docstring": "number of qubit...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
make_Hamiltonian
<not_specific>
def make_Hamiltonian(pauli_list): """Creates a matrix operator out of a list of Paulis. Args: pauli_list (list): list of list [coeff,Pauli] Returns: numpy.matrix: A matrix representing pauli_list """ Hamiltonian = 0 for p in pauli_list: Hamiltonian += p[0] * p[1].to_matr...
Creates a matrix operator out of a list of Paulis. Args: pauli_list (list): list of list [coeff,Pauli] Returns: numpy.matrix: A matrix representing pauli_list
Creates a matrix operator out of a list of Paulis.
[ "Creates", "a", "matrix", "operator", "out", "of", "a", "list", "of", "Paulis", "." ]
def make_Hamiltonian(pauli_list): Hamiltonian = 0 for p in pauli_list: Hamiltonian += p[0] * p[1].to_matrix() return Hamiltonian
[ "def", "make_Hamiltonian", "(", "pauli_list", ")", ":", "Hamiltonian", "=", "0", "for", "p", "in", "pauli_list", ":", "Hamiltonian", "+=", "p", "[", "0", "]", "*", "p", "[", "1", "]", ".", "to_matrix", "(", ")", "return", "Hamiltonian" ]
Creates a matrix operator out of a list of Paulis.
[ "Creates", "a", "matrix", "operator", "out", "of", "a", "list", "of", "Paulis", "." ]
[ "\"\"\"Creates a matrix operator out of a list of Paulis.\n\n Args:\n pauli_list (list): list of list [coeff,Pauli]\n Returns:\n numpy.matrix: A matrix representing pauli_list\n \"\"\"" ]
[ { "param": "pauli_list", "type": null } ]
{ "returns": [ { "docstring": "A matrix representing pauli_list", "docstring_tokens": [ "A", "matrix", "representing", "pauli_list" ], "type": "numpy.matrix" } ], "raises": [], "params": [ { "identifier": "pauli_list", "type": null,...
9ba762a3be4e067407755bd6370ce51a720c0bc7
dsh0416/qiskit-terra
qiskit/tools/apps/optimization.py
[ "Apache-2.0" ]
Python
Hamiltonian_from_file
<not_specific>
def Hamiltonian_from_file(file_name): """Creates a matrix operator out of a file with a list of Paulis. Args: file_name (str): a text file containing a list of Paulis and coefficients. Returns: list: A matrix representing pauli_list """ with open(file_name, 'r+') as file...
Creates a matrix operator out of a file with a list of Paulis. Args: file_name (str): a text file containing a list of Paulis and coefficients. Returns: list: A matrix representing pauli_list
Creates a matrix operator out of a file with a list of Paulis. file_name (str): a text file containing a list of Paulis and coefficients. Returns: list: A matrix representing pauli_list
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def Hamiltonian_from_file(file_name): with open(file_name, 'r+') as file: ham_array = file.readlines() ham_array = [x.strip() for x in ham_array] pauli_list = [] for i in range(len(ham_array) // 2): pauli = label_to_pauli(ham_array[2 * i]) Numb = float(ham_array[2 * i + 1]) ...
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Creates a matrix operator out of a file with a list of Paulis.
[ "Creates", "a", "matrix", "operator", "out", "of", "a", "file", "with", "a", "list", "of", "Paulis", "." ]
[ "\"\"\"Creates a matrix operator out of a file with a list\n of Paulis.\n\n Args:\n file_name (str): a text file containing a list of Paulis and\n coefficients.\n Returns:\n list: A matrix representing pauli_list\n \"\"\"" ]
[ { "param": "file_name", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "file_name", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null } ], "outlier_params": [], "others": [] }
f176992d00829e0b4d5b049371e0a595656081c6
dsh0416/qiskit-terra
test/python/test_extensions_standard.py
[ "Apache-2.0" ]
Python
assertResult
null
def assertResult(self, type_, qasm_txt, qasm_txt_): """ Assert the single gate in self.circuit is of the type type_, the QASM representation matches qasm_txt and the QASM representation of inverse maches qasm_txt_. Args: type_ (type): a gate type. qasm_tx...
Assert the single gate in self.circuit is of the type type_, the QASM representation matches qasm_txt and the QASM representation of inverse maches qasm_txt_. Args: type_ (type): a gate type. qasm_txt (str): QASM representation of the gate. qasm_txt_...
Assert the single gate in self.circuit is of the type type_, the QASM representation matches qasm_txt and the QASM representation of inverse maches qasm_txt_.
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def assertResult(self, type_, qasm_txt, qasm_txt_): circuit = self.circuit self.assertEqual(type(circuit[0]), type_) self.assertQasm(qasm_txt) circuit[0].reapply(circuit) self.assertQasm(qasm_txt + '\n' + qasm_txt) self.assertEqual(circuit[0].inverse(), circuit[0]) ...
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Assert the single gate in self.circuit is of the type type_, the QASM representation matches qasm_txt and the QASM representation of inverse maches qasm_txt_.
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[ "\"\"\"\n Assert the single gate in self.circuit is of the type type_, the QASM\n representation matches qasm_txt and the QASM representation of\n inverse maches qasm_txt_.\n\n Args:\n type_ (type): a gate type.\n qasm_txt (str): QASM representation of the gate.\n ...
[ { "param": "self", "type": null }, { "param": "type_", "type": null }, { "param": "qasm_txt", "type": null }, { "param": "qasm_txt_", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "type_", "type": null, "docstring": "a gate type.", "docstring...
f176992d00829e0b4d5b049371e0a595656081c6
dsh0416/qiskit-terra
test/python/test_extensions_standard.py
[ "Apache-2.0" ]
Python
assertStmtsType
null
def assertStmtsType(self, stmts, type_): """ Assert a list of statements stmts is of a type type_. Args: stmts (list): list of statements. type_ (type): a gate type. """ for stmt in stmts: self.assertEqual(type(stmt), type_)
Assert a list of statements stmts is of a type type_. Args: stmts (list): list of statements. type_ (type): a gate type.
Assert a list of statements stmts is of a type type_.
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def assertStmtsType(self, stmts, type_): for stmt in stmts: self.assertEqual(type(stmt), type_)
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Assert a list of statements stmts is of a type type_.
[ "Assert", "a", "list", "of", "statements", "stmts", "is", "of", "a", "type", "type_", "." ]
[ "\"\"\"\n Assert a list of statements stmts is of a type type_.\n\n Args:\n stmts (list): list of statements.\n type_ (type): a gate type.\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "stmts", "type": null }, { "param": "type_", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "stmts", "type": null, "docstring": "list of statements.", "do...
f176992d00829e0b4d5b049371e0a595656081c6
dsh0416/qiskit-terra
test/python/test_extensions_standard.py
[ "Apache-2.0" ]
Python
assertQasm
null
def assertQasm(self, qasm_txt, offset=1): """ Assert the QASM representation of the circuit self.circuit includes the text qasm_txt in the right position (which can be adjusted by offset) Args: qasm_txt (str): a string with QASM code offset (int): the off...
Assert the QASM representation of the circuit self.circuit includes the text qasm_txt in the right position (which can be adjusted by offset) Args: qasm_txt (str): a string with QASM code offset (int): the offset in which qasm_txt should be found.
Assert the QASM representation of the circuit self.circuit includes the text qasm_txt in the right position (which can be adjusted by offset)
[ "Assert", "the", "QASM", "representation", "of", "the", "circuit", "self", ".", "circuit", "includes", "the", "text", "qasm_txt", "in", "the", "right", "position", "(", "which", "can", "be", "adjusted", "by", "offset", ")" ]
def assertQasm(self, qasm_txt, offset=1): circuit = self.circuit c_txt = len(qasm_txt) self.assertIn('\n' + qasm_txt + '\n', circuit.qasm()) self.assertEqual(self.c_header + c_txt + offset, len(circuit.qasm()))
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Assert the QASM representation of the circuit self.circuit includes the text qasm_txt in the right position (which can be adjusted by offset)
[ "Assert", "the", "QASM", "representation", "of", "the", "circuit", "self", ".", "circuit", "includes", "the", "text", "qasm_txt", "in", "the", "right", "position", "(", "which", "can", "be", "adjusted", "by", "offset", ")" ]
[ "\"\"\"\n Assert the QASM representation of the circuit self.circuit includes\n the text qasm_txt in the right position (which can be adjusted by\n offset)\n\n Args:\n qasm_txt (str): a string with QASM code\n offset (int): the offset in which qasm_txt should be fou...
[ { "param": "self", "type": null }, { "param": "qasm_txt", "type": null }, { "param": "offset", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "qasm_txt", "type": null, "docstring": "a string with QASM code", ...
a3062918483133f60dd8e6c7dec1caae0e09515f
dsh0416/qiskit-terra
qiskit/wrapper/_wrapper.py
[ "Apache-2.0" ]
Python
register
<not_specific>
def register(*args, provider_class=None, **kwargs): """ Authenticate against an online backend provider. This is a factory method that returns the provider that gets registered. Args: args (tuple): positional arguments passed to provider class initialization provider_class (BaseProvider...
Authenticate against an online backend provider. This is a factory method that returns the provider that gets registered. Args: args (tuple): positional arguments passed to provider class initialization provider_class (BaseProvider): provider class kwargs (dict): keyword arguments ...
Authenticate against an online backend provider. This is a factory method that returns the provider that gets registered.
[ "Authenticate", "against", "an", "online", "backend", "provider", ".", "This", "is", "a", "factory", "method", "that", "returns", "the", "provider", "that", "gets", "registered", "." ]
def register(*args, provider_class=None, **kwargs): if provider_class: warnings.warn( 'The global registry of providers and register() is deprecated ' 'since 0.6. Please instantiate "{}()" directly.'.format(provider_class), DeprecationWarning) return provider_clas...
[ "def", "register", "(", "*", "args", ",", "provider_class", "=", "None", ",", "**", "kwargs", ")", ":", "if", "provider_class", ":", "warnings", ".", "warn", "(", "'The global registry of providers and register() is deprecated '", "'since 0.6. Please instantiate \"{}()\" ...
Authenticate against an online backend provider.
[ "Authenticate", "against", "an", "online", "backend", "provider", "." ]
[ "\"\"\"\n Authenticate against an online backend provider.\n This is a factory method that returns the provider that gets registered.\n\n Args:\n args (tuple): positional arguments passed to provider class initialization\n provider_class (BaseProvider): provider class\n kwargs (dict): ...
[ { "param": "provider_class", "type": null } ]
{ "returns": [ { "docstring": "the provider instance that was just registered.", "docstring_tokens": [ "the", "provider", "instance", "that", "was", "just", "registered", "." ], "type": "BaseProvider" } ], "raises": [ ...
a3062918483133f60dd8e6c7dec1caae0e09515f
dsh0416/qiskit-terra
qiskit/wrapper/_wrapper.py
[ "Apache-2.0" ]
Python
unregister
null
def unregister(provider): """ Removes a provider from list of registered providers. Note: If backend names from provider1 and provider2 were clashing, `unregister(provider1)` removes the clash and makes the backends from provider2 available. Args: provider (BaseProvider...
Removes a provider from list of registered providers. Note: If backend names from provider1 and provider2 were clashing, `unregister(provider1)` removes the clash and makes the backends from provider2 available. Args: provider (BaseProvider): the provider instance to unreg...
Removes a provider from list of registered providers. Note: If backend names from provider1 and provider2 were clashing, `unregister(provider1)` removes the clash and makes the backends from provider2 available.
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def unregister(provider): warnings.warn('unregister() will be deprecated after 0.6. Please use the ' 'qiskit.IBMQ.disable_account() method instead.', DeprecationWarning)
[ "def", "unregister", "(", "provider", ")", ":", "warnings", ".", "warn", "(", "'unregister() will be deprecated after 0.6. Please use the '", "'qiskit.IBMQ.disable_account() method instead.'", ",", "DeprecationWarning", ")" ]
Removes a provider from list of registered providers.
[ "Removes", "a", "provider", "from", "list", "of", "registered", "providers", "." ]
[ "\"\"\"\n Removes a provider from list of registered providers.\n\n Note:\n If backend names from provider1 and provider2 were clashing,\n `unregister(provider1)` removes the clash and makes the backends\n from provider2 available.\n\n Args:\n provider (BaseProvider): the provid...
[ { "param": "provider", "type": null } ]
{ "returns": [], "raises": [ { "docstring": "if the provider instance is not registered", "docstring_tokens": [ "if", "the", "provider", "instance", "is", "not", "registered" ], "type": "QISKitError" } ], "params": [ { ...
a3062918483133f60dd8e6c7dec1caae0e09515f
dsh0416/qiskit-terra
qiskit/wrapper/_wrapper.py
[ "Apache-2.0" ]
Python
registered_providers
<not_specific>
def registered_providers(): """Return the currently registered providers. .. deprecated:: 0.6+ After 0.6, this function is deprecated. Please use the methods in `qiskit.IBMQ` instead (`active_accounts()`). """ warnings.warn('registered_providers() will be deprecated after 0.6. Please ' ...
Return the currently registered providers. .. deprecated:: 0.6+ After 0.6, this function is deprecated. Please use the methods in `qiskit.IBMQ` instead (`active_accounts()`).
Return the currently registered providers.
[ "Return", "the", "currently", "registered", "providers", "." ]
def registered_providers(): warnings.warn('registered_providers() will be deprecated after 0.6. Please ' 'use the qiskit.IBMQ.active_accounts() method instead.', DeprecationWarning) return IBMQ.active_accounts()
[ "def", "registered_providers", "(", ")", ":", "warnings", ".", "warn", "(", "'registered_providers() will be deprecated after 0.6. Please '", "'use the qiskit.IBMQ.active_accounts() method instead.'", ",", "DeprecationWarning", ")", "return", "IBMQ", ".", "active_accounts", "(", ...
Return the currently registered providers.
[ "Return", "the", "currently", "registered", "providers", "." ]
[ "\"\"\"Return the currently registered providers.\n\n .. deprecated:: 0.6+\n After 0.6, this function is deprecated. Please use the methods in\n `qiskit.IBMQ` instead (`active_accounts()`).\n \"\"\"" ]
[]
{ "returns": [], "raises": [], "params": [], "outlier_params": [], "others": [ { "identifier": "deprecation", "docstring": "After 0.6, this function is deprecated. Please use the methods in\n`qiskit.IBMQ` instead (`active_accounts()`).", "docstring_tokens": [ "After", "0"...
a3062918483133f60dd8e6c7dec1caae0e09515f
dsh0416/qiskit-terra
qiskit/wrapper/_wrapper.py
[ "Apache-2.0" ]
Python
available_backends
<not_specific>
def available_backends(filters=None, compact=True): """ Return names of backends that are available in the SDK, optionally filtering them based on their capabilities. Note: In order for this function to return online backends, a connection with an online backend provider needs to be est...
Return names of backends that are available in the SDK, optionally filtering them based on their capabilities. Note: In order for this function to return online backends, a connection with an online backend provider needs to be established by calling the `register()` function. ...
Return names of backends that are available in the SDK, optionally filtering them based on their capabilities. In order for this function to return online backends, a connection with an online backend provider needs to be established by calling the `register()` function. If two or more providers have backends with th...
[ "Return", "names", "of", "backends", "that", "are", "available", "in", "the", "SDK", "optionally", "filtering", "them", "based", "on", "their", "capabilities", ".", "In", "order", "for", "this", "function", "to", "return", "online", "backends", "a", "connectio...
def available_backends(filters=None, compact=True): warnings.warn('available_backends() will be deprecated after 0.6. Please ' 'use the qiskit.IBMQ.backends() and qiskit.Aer.backends() ' 'method instead.', DeprecationWarning) if isinstance(filters, dict): ...
[ "def", "available_backends", "(", "filters", "=", "None", ",", "compact", "=", "True", ")", ":", "warnings", ".", "warn", "(", "'available_backends() will be deprecated after 0.6. Please '", "'use the qiskit.IBMQ.backends() and qiskit.Aer.backends() '", "'method instead.'", ","...
Return names of backends that are available in the SDK, optionally filtering them based on their capabilities.
[ "Return", "names", "of", "backends", "that", "are", "available", "in", "the", "SDK", "optionally", "filtering", "them", "based", "on", "their", "capabilities", "." ]
[ "\"\"\"\n Return names of backends that are available in the SDK, optionally filtering\n them based on their capabilities.\n\n Note:\n In order for this function to return online backends, a connection with\n an online backend provider needs to be established by calling the\n `register...
[ { "param": "filters", "type": null }, { "param": "compact", "type": null } ]
{ "returns": [ { "docstring": "the names of the available backends.", "docstring_tokens": [ "the", "names", "of", "the", "available", "backends", "." ], "type": "list[str]" } ], "raises": [], "params": [ { "identif...
a3062918483133f60dd8e6c7dec1caae0e09515f
dsh0416/qiskit-terra
qiskit/wrapper/_wrapper.py
[ "Apache-2.0" ]
Python
least_busy
<not_specific>
def least_busy(names): """ Return the least busy available backend for those that have a `pending_jobs` in their `status`. Backends such as local backends that do not have this are not considered. Args: names (list[str]): backend names to choose from (e.g. output of ``av...
Return the least busy available backend for those that have a `pending_jobs` in their `status`. Backends such as local backends that do not have this are not considered. Args: names (list[str]): backend names to choose from (e.g. output of ``available_backends()``) Ret...
Return the least busy available backend for those that have a `pending_jobs` in their `status`. Backends such as local backends that do not have this are not considered.
[ "Return", "the", "least", "busy", "available", "backend", "for", "those", "that", "have", "a", "`", "pending_jobs", "`", "in", "their", "`", "status", "`", ".", "Backends", "such", "as", "local", "backends", "that", "do", "not", "have", "this", "are", "n...
def least_busy(names): backends = [get_backend(name) for name in names] warnings.warn('the global least_busy() will be deprecated after 0.6. Please ' 'use least_busy() imported from qiskit.backends.ibmq', DeprecationWarning) return ibmq.least_busy(backends).name()
[ "def", "least_busy", "(", "names", ")", ":", "backends", "=", "[", "get_backend", "(", "name", ")", "for", "name", "in", "names", "]", "warnings", ".", "warn", "(", "'the global least_busy() will be deprecated after 0.6. Please '", "'use least_busy() imported from qiski...
Return the least busy available backend for those that have a `pending_jobs` in their `status`.
[ "Return", "the", "least", "busy", "available", "backend", "for", "those", "that", "have", "a", "`", "pending_jobs", "`", "in", "their", "`", "status", "`", "." ]
[ "\"\"\"\n Return the least busy available backend for those that\n have a `pending_jobs` in their `status`. Backends such as\n local backends that do not have this are not considered.\n\n Args:\n names (list[str]): backend names to choose from\n (e.g. output of ``available_back...
[ { "param": "names", "type": null } ]
{ "returns": [ { "docstring": "the name of the least busy backend", "docstring_tokens": [ "the", "name", "of", "the", "least", "busy", "backend" ], "type": "str" } ], "raises": [ { "docstring": "if passing a list of ...
a3062918483133f60dd8e6c7dec1caae0e09515f
dsh0416/qiskit-terra
qiskit/wrapper/_wrapper.py
[ "Apache-2.0" ]
Python
compile
<not_specific>
def compile(circuits, backend, config=None, basis_gates=None, coupling_map=None, initial_layout=None, shots=1024, max_credits=10, seed=None, qobj_id=None, hpc=None, skip_transpiler=False): """Compile a list of circuits into a qobj. Args: circuits (QuantumCircuit or l...
Compile a list of circuits into a qobj. Args: circuits (QuantumCircuit or list[QuantumCircuit]): circuits to compile backend (BaseBackend or str): a backend to compile for config (dict): dictionary of parameters (e.g. noise) used by runner basis_gates (str): comma-separated basis ga...
Compile a list of circuits into a qobj.
[ "Compile", "a", "list", "of", "circuits", "into", "a", "qobj", "." ]
def compile(circuits, backend, config=None, basis_gates=None, coupling_map=None, initial_layout=None, shots=1024, max_credits=10, seed=None, qobj_id=None, hpc=None, skip_transpiler=False): if isinstance(backend, str): warnings.warn('compile() no longer takes backend strin...
[ "def", "compile", "(", "circuits", ",", "backend", ",", "config", "=", "None", ",", "basis_gates", "=", "None", ",", "coupling_map", "=", "None", ",", "initial_layout", "=", "None", ",", "shots", "=", "1024", ",", "max_credits", "=", "10", ",", "seed", ...
Compile a list of circuits into a qobj.
[ "Compile", "a", "list", "of", "circuits", "into", "a", "qobj", "." ]
[ "\"\"\"Compile a list of circuits into a qobj.\n\n Args:\n circuits (QuantumCircuit or list[QuantumCircuit]): circuits to compile\n backend (BaseBackend or str): a backend to compile for\n config (dict): dictionary of parameters (e.g. noise) used by runner\n basis_gates (str): comma-s...
[ { "param": "circuits", "type": null }, { "param": "backend", "type": null }, { "param": "config", "type": null }, { "param": "basis_gates", "type": null }, { "param": "coupling_map", "type": null }, { "param": "initial_layout", "type": null }, ...
{ "returns": [ { "docstring": "the qobj to be run on the backends", "docstring_tokens": [ "the", "qobj", "to", "be", "run", "on", "the", "backends" ], "type": "Qobj" } ], "raises": [ { "docstring": "in case o...
a3062918483133f60dd8e6c7dec1caae0e09515f
dsh0416/qiskit-terra
qiskit/wrapper/_wrapper.py
[ "Apache-2.0" ]
Python
execute
<not_specific>
def execute(circuits, backend, config=None, basis_gates=None, coupling_map=None, initial_layout=None, shots=1024, max_credits=10, seed=None, qobj_id=None, hpc=None, skip_transpiler=False): """Executes a set of circuits. Args: circuits (QuantumCircuit or list[QuantumC...
Executes a set of circuits. Args: circuits (QuantumCircuit or list[QuantumCircuit]): circuits to execute backend (BaseBackend or str): a backend to execute the circuits on config (dict): dictionary of parameters (e.g. noise) used by runner basis_gates (str): comma-separated basis ga...
Executes a set of circuits.
[ "Executes", "a", "set", "of", "circuits", "." ]
def execute(circuits, backend, config=None, basis_gates=None, coupling_map=None, initial_layout=None, shots=1024, max_credits=10, seed=None, qobj_id=None, hpc=None, skip_transpiler=False): if isinstance(backend, str): warnings.warn('execute() no longer takes backend strin...
[ "def", "execute", "(", "circuits", ",", "backend", ",", "config", "=", "None", ",", "basis_gates", "=", "None", ",", "coupling_map", "=", "None", ",", "initial_layout", "=", "None", ",", "shots", "=", "1024", ",", "max_credits", "=", "10", ",", "seed", ...
Executes a set of circuits.
[ "Executes", "a", "set", "of", "circuits", "." ]
[ "\"\"\"Executes a set of circuits.\n\n Args:\n circuits (QuantumCircuit or list[QuantumCircuit]): circuits to execute\n backend (BaseBackend or str): a backend to execute the circuits on\n config (dict): dictionary of parameters (e.g. noise) used by runner\n basis_gates (str): comma-s...
[ { "param": "circuits", "type": null }, { "param": "backend", "type": null }, { "param": "config", "type": null }, { "param": "basis_gates", "type": null }, { "param": "coupling_map", "type": null }, { "param": "initial_layout", "type": null }, ...
{ "returns": [ { "docstring": "returns job instance derived from BaseJob", "docstring_tokens": [ "returns", "job", "instance", "derived", "from", "BaseJob" ], "type": "BaseJob" } ], "raises": [], "params": [ { "identifier"...
9db9802c2c14ca1ae4ec26fee9851c6dacfeb078
dsh0416/qiskit-terra
qiskit/unroll/_printerbackend.py
[ "Apache-2.0" ]
Python
version
null
def version(self, version): """Print the version string. v is a version number. """ print("OPENQASM %s;" % version)
Print the version string. v is a version number.
Print the version string. v is a version number.
[ "Print", "the", "version", "string", ".", "v", "is", "a", "version", "number", "." ]
def version(self, version): print("OPENQASM %s;" % version)
[ "def", "version", "(", "self", ",", "version", ")", ":", "print", "(", "\"OPENQASM %s;\"", "%", "version", ")" ]
Print the version string.
[ "Print", "the", "version", "string", "." ]
[ "\"\"\"Print the version string.\n\n v is a version number.\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "version", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "version", "type": null, "docstring": null, "docstring_tokens"...
9db9802c2c14ca1ae4ec26fee9851c6dacfeb078
dsh0416/qiskit-terra
qiskit/unroll/_printerbackend.py
[ "Apache-2.0" ]
Python
new_qreg
null
def new_qreg(self, name, size): """Create a new quantum register. name = name of the register sz = size of the register """ assert size >= 0, "invalid qreg size" print("qreg %s[%d];" % (name, size))
Create a new quantum register. name = name of the register sz = size of the register
Create a new quantum register. name = name of the register sz = size of the register
[ "Create", "a", "new", "quantum", "register", ".", "name", "=", "name", "of", "the", "register", "sz", "=", "size", "of", "the", "register" ]
def new_qreg(self, name, size): assert size >= 0, "invalid qreg size" print("qreg %s[%d];" % (name, size))
[ "def", "new_qreg", "(", "self", ",", "name", ",", "size", ")", ":", "assert", "size", ">=", "0", ",", "\"invalid qreg size\"", "print", "(", "\"qreg %s[%d];\"", "%", "(", "name", ",", "size", ")", ")" ]
Create a new quantum register.
[ "Create", "a", "new", "quantum", "register", "." ]
[ "\"\"\"Create a new quantum register.\n\n name = name of the register\n sz = size of the register\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "name", "type": null }, { "param": "size", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "name", "type": null, "docstring": null, "docstring_tokens": [...
9db9802c2c14ca1ae4ec26fee9851c6dacfeb078
dsh0416/qiskit-terra
qiskit/unroll/_printerbackend.py
[ "Apache-2.0" ]
Python
new_creg
null
def new_creg(self, name, size): """Create a new classical register. name = name of the register sz = size of the register """ print("creg %s[%d];" % (name, size))
Create a new classical register. name = name of the register sz = size of the register
Create a new classical register. name = name of the register sz = size of the register
[ "Create", "a", "new", "classical", "register", ".", "name", "=", "name", "of", "the", "register", "sz", "=", "size", "of", "the", "register" ]
def new_creg(self, name, size): print("creg %s[%d];" % (name, size))
[ "def", "new_creg", "(", "self", ",", "name", ",", "size", ")", ":", "print", "(", "\"creg %s[%d];\"", "%", "(", "name", ",", "size", ")", ")" ]
Create a new classical register.
[ "Create", "a", "new", "classical", "register", "." ]
[ "\"\"\"Create a new classical register.\n\n name = name of the register\n sz = size of the register\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "name", "type": null }, { "param": "size", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "name", "type": null, "docstring": null, "docstring_tokens": [...
9db9802c2c14ca1ae4ec26fee9851c6dacfeb078
dsh0416/qiskit-terra
qiskit/unroll/_printerbackend.py
[ "Apache-2.0" ]
Python
_gate_string
<not_specific>
def _gate_string(self, name): """Print OPENQASM for the named gate.""" out = "" if self.gates[name]["opaque"]: out = "opaque " + name else: out = "gate " + name if self.gates[name]["n_args"] > 0: out += "(" + ",".join(self.gates[name]["args"]) ...
Print OPENQASM for the named gate.
Print OPENQASM for the named gate.
[ "Print", "OPENQASM", "for", "the", "named", "gate", "." ]
def _gate_string(self, name): out = "" if self.gates[name]["opaque"]: out = "opaque " + name else: out = "gate " + name if self.gates[name]["n_args"] > 0: out += "(" + ",".join(self.gates[name]["args"]) + ")" out += " " + ",".join(self.gate...
[ "def", "_gate_string", "(", "self", ",", "name", ")", ":", "out", "=", "\"\"", "if", "self", ".", "gates", "[", "name", "]", "[", "\"opaque\"", "]", ":", "out", "=", "\"opaque \"", "+", "name", "else", ":", "out", "=", "\"gate \"", "+", "name", "if...
Print OPENQASM for the named gate.
[ "Print", "OPENQASM", "for", "the", "named", "gate", "." ]
[ "\"\"\"Print OPENQASM for the named gate.\"\"\"" ]
[ { "param": "self", "type": null }, { "param": "name", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "name", "type": null, "docstring": null, "docstring_tokens": [...
9db9802c2c14ca1ae4ec26fee9851c6dacfeb078
dsh0416/qiskit-terra
qiskit/unroll/_printerbackend.py
[ "Apache-2.0" ]
Python
define_gate
null
def define_gate(self, name, gatedata): """Define a new quantum gate. name is a string. gatedata is the AST node for the gate. """ atomics = ["U", "CX", "measure", "reset", "barrier"] self.gates[name] = gatedata # Print out the gate definition if it is in self.bas...
Define a new quantum gate. name is a string. gatedata is the AST node for the gate.
Define a new quantum gate. name is a string. gatedata is the AST node for the gate.
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def define_gate(self, name, gatedata): atomics = ["U", "CX", "measure", "reset", "barrier"] self.gates[name] = gatedata if name in self.basis and name not in atomics: if not self.gates[name]["opaque"]: calls = self.gates[name]["body"].calls() for call ...
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Define a new quantum gate.
[ "Define", "a", "new", "quantum", "gate", "." ]
[ "\"\"\"Define a new quantum gate.\n\n name is a string.\n gatedata is the AST node for the gate.\n \"\"\"", "# Print out the gate definition if it is in self.basis", "# Print the hierarchy of gates this gate calls", "# Print the gate itself" ]
[ { "param": "self", "type": null }, { "param": "name", "type": null }, { "param": "gatedata", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "name", "type": null, "docstring": null, "docstring_tokens": [...
9db9802c2c14ca1ae4ec26fee9851c6dacfeb078
dsh0416/qiskit-terra
qiskit/unroll/_printerbackend.py
[ "Apache-2.0" ]
Python
u
null
def u(self, arg, qubit, nested_scope=None): """Fundamental single qubit gate. arg is 3-tuple of Node expression objects. qubit is (regname,idx) tuple. nested_scope is a list of dictionaries mapping expression variables to Node expression objects in order of increasing nesting de...
Fundamental single qubit gate. arg is 3-tuple of Node expression objects. qubit is (regname,idx) tuple. nested_scope is a list of dictionaries mapping expression variables to Node expression objects in order of increasing nesting depth.
Fundamental single qubit gate. arg is 3-tuple of Node expression objects. qubit is (regname,idx) tuple. nested_scope is a list of dictionaries mapping expression variables to Node expression objects in order of increasing nesting depth.
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def u(self, arg, qubit, nested_scope=None): if self.listen: if "U" not in self.basis: self.basis.append("U") if self.creg is not None: print("if(%s==%d) " % (self.creg, self.cval), end="") print("U(%s,%s,%s) %s[%d];" % (arg[0].sym(nested_scope)...
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Fundamental single qubit gate.
[ "Fundamental", "single", "qubit", "gate", "." ]
[ "\"\"\"Fundamental single qubit gate.\n\n arg is 3-tuple of Node expression objects.\n qubit is (regname,idx) tuple.\n nested_scope is a list of dictionaries mapping expression variables\n to Node expression objects in order of increasing nesting depth.\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "arg", "type": null }, { "param": "qubit", "type": null }, { "param": "nested_scope", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "arg", "type": null, "docstring": null, "docstring_tokens": []...
9db9802c2c14ca1ae4ec26fee9851c6dacfeb078
dsh0416/qiskit-terra
qiskit/unroll/_printerbackend.py
[ "Apache-2.0" ]
Python
cx
null
def cx(self, qubit0, qubit1): """Fundamental two qubit gate. qubit0 is (regname,idx) tuple for the control qubit. qubit1 is (regname,idx) tuple for the target qubit. """ if self.listen: if "CX" not in self.basis: self.basis.append("CX") if...
Fundamental two qubit gate. qubit0 is (regname,idx) tuple for the control qubit. qubit1 is (regname,idx) tuple for the target qubit.
Fundamental two qubit gate. qubit0 is (regname,idx) tuple for the control qubit. qubit1 is (regname,idx) tuple for the target qubit.
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def cx(self, qubit0, qubit1): if self.listen: if "CX" not in self.basis: self.basis.append("CX") if self.creg is not None: print("if(%s==%d) " % (self.creg, self.cval), end="") print("CX %s[%d],%s[%d];" % (qubit0[0], qubit0[1], ...
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Fundamental two qubit gate.
[ "Fundamental", "two", "qubit", "gate", "." ]
[ "\"\"\"Fundamental two qubit gate.\n\n qubit0 is (regname,idx) tuple for the control qubit.\n qubit1 is (regname,idx) tuple for the target qubit.\n \"\"\"" ]
[ { "param": "self", "type": null }, { "param": "qubit0", "type": null }, { "param": "qubit1", "type": null } ]
{ "returns": [], "raises": [], "params": [ { "identifier": "self", "type": null, "docstring": null, "docstring_tokens": [], "default": null, "is_optional": null }, { "identifier": "qubit0", "type": null, "docstring": null, "docstring_tokens":...