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datadog_api_client.api_client
select_header_content_type
Returns `Content-Type` based on an array of content_types provided. :param content_types: List of content-types. :return: Content-Type (e.g. application/json).
def select_header_content_type(self, content_types: List[str]) -> str: """Returns `Content-Type` based on an array of content_types provided. :param content_types: List of content-types. :return: Content-Type (e.g. application/json). """ if not content_types: return "application/json" content_types = [x.lower() for x in content_types] if "application/json" in content_types or "*/*" in content_types: return "application/json" return content_types[0]
(self, content_types: List[str]) -> str
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21,825
datadog_api_client.api_client
set_default_header
null
def set_default_header(self, header_name: str, header_value: str) -> None: self.default_headers[header_name] = header_value
(self, header_name: str, header_value: str) -> NoneType
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21,826
datadog_api_client.api_client
AsyncApiClient
null
class AsyncApiClient(ApiClient): def _build_rest_client(self): return rest.AsyncRESTClientObject(self.configuration) async def __aenter__(self) -> Self: return self async def __aexit__(self, _exc_type, exc, _tb): if exc: raise exc await self.rest_client._client.shutdown() async def _call_api( self, method: str, url: str, query_params: Optional[List[Tuple[str, Any]]] = None, header_params: Optional[Dict[str, Any]] = None, body: Optional[Any] = None, post_params: Optional[List[Tuple[str, Any]]] = None, response_type: Optional[Tuple[Any]] = None, return_http_data_only: Optional[bool] = None, preload_content: bool = True, request_timeout: Optional[Union[int, float, Tuple[Union[int, float], Union[int, float]]]] = None, check_type: Optional[bool] = None, ): # perform request and return response response = await self.rest_client.request( method, url, query_params=query_params, headers=header_params, post_params=post_params, body=body, preload_content=preload_content, request_timeout=request_timeout, ) if not preload_content: return response # deserialize response data if response_type: if response_type == (file_type,): content_disposition = response.headers.get("Content-Disposition") response_data = await response.content() return_data = deserialize_file( response_data, self.configuration.temp_folder_path, content_disposition=content_disposition ) else: response_data = await response.text() return_data = self.deserialize(response_data, response_type, check_type) else: return_data = None if return_http_data_only: return return_data return (return_data, response.status_code, response.headers) async def call_api_paginated( self, resource_path: str, method: str, pagination: dict, response_type: Optional[Tuple[Any]] = None, request_timeout: Optional[Union[int, float, Tuple[Union[int, float], Union[int, float]]]] = None, host: Optional[str] = None, check_type: Optional[bool] = None, ): params = pagination["endpoint"].get_pagination_params(pagination["kwargs"]) while True: response = await self.call_api( resource_path, method, params["path"], params["query"], params["header"], body=params["body"], post_params=params["form"], files=params["file"], response_type=response_type, check_type=check_type, return_http_data_only=True, preload_content=True, request_timeout=request_timeout, host=host, collection_formats=params["collection_format"], ) for item in get_attribute_from_path(response, pagination.get("results_path")): yield item if len(get_attribute_from_path(response, pagination.get("results_path"))) < pagination["limit_value"]: break params = self._update_paginated_params(pagination, response)
(configuration: datadog_api_client.configuration.Configuration)
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21,827
datadog_api_client.api_client
__aenter__
null
def _build_rest_client(self): return rest.AsyncRESTClientObject(self.configuration)
(self) -> typing_extensions.Self
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21,846
datadog_api_client.configuration
Configuration
:param host: Base url. :param api_key: Dict to store API key(s). Each entry in the dict specifies an API key. The dict key is the name of the security scheme in the OAS specification. The dict value is the API key secret. :param api_key_prefix: Dict to store API prefix (e.g. Bearer). The dict key is the name of the security scheme in the OAS specification. The dict value is an API key prefix when generating the auth data. :param username: Username for HTTP basic authentication. :param password: Password for HTTP basic authentication. :param discard_unknown_keys: Boolean value indicating whether to discard unknown properties. A server may send a response that includes additional properties that are not known by the client in the following scenarios: 1. The OpenAPI document is incomplete, i.e. it does not match the server implementation. 2. The client was generated using an older version of the OpenAPI document and the server has been upgraded since then. If a schema in the OpenAPI document defines the additionalProperties attribute, then all undeclared properties received by the server are injected into the additional properties map. In that case, there are undeclared properties, and nothing to discard. :param disabled_client_side_validations: Comma-separated list of JSON schema validation keywords to disable JSON schema structural validation rules. The following keywords may be specified: multipleOf, maximum, exclusiveMaximum, minimum, exclusiveMinimum, maxLength, minLength, pattern, maxItems, minItems. By default, the validation is performed for data generated locally by the client and data received from the server, independent of any validation performed by the server side. If the input data does not satisfy the JSON schema validation rules specified in the OpenAPI document, an exception is raised. If disabled_client_side_validations is set, structural validation is disabled. This can be useful to troubleshoot data validation problem, such as when the OpenAPI document validation rules do not match the actual API data received by the server. :type disabled_client_side_validations: str :param server_index: Index to servers configuration. :param server_variables: Mapping with string values to replace variables in templated server configuration. The validation of enums is performed for variables with defined enum values before. :param server_operation_index: Mapping from operation ID to an index to server configuration. :param server_operation_variables: Mapping from operation ID to a mapping with string values to replace variables in templated server configuration. The validation of enums is performed for variables with defined enum values before. :param ssl_ca_cert: The path to a file of concatenated CA certificates in PEM format. :param compress: Boolean indicating whether encoded responses are accepted or not. :type compress: bool :param return_http_data_only: Response data without head status code and headers. Default is True. :type return_http_data_only: bool :param preload_content: If False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type preload_content: bool :param request_timeout: Timeout setting for this request. If one number is provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. :type request_timeout: float/tuple :param check_input_type: Specifies if type checking should be done on the data sent to the server. Default is True. :type check_input_type: bool :param check_return_type: Specifies if type checking should be done on the data received from the server. Default is True. :type check_return_type: bool :param spec_property_naming: Whether names in properties are expected to respect the spec or use snake case. :type spec_property_naming: bool :param enable_retry: If set, the client will retry requests on backend errors (5xx status codes), and 429. On 429 if will use the returned headers to wait until the next requests, otherwise it will retry using the backoff factor. :type enable_retry: bool :param retry_backoff_factor: Factor used to space out retried requests on backend errors. :type retry_backoff_factor: float :param max_retries: The maximum number of times a single request can be retried. :type max_retries: int
class Configuration: """ :param host: Base url. :param api_key: Dict to store API key(s). Each entry in the dict specifies an API key. The dict key is the name of the security scheme in the OAS specification. The dict value is the API key secret. :param api_key_prefix: Dict to store API prefix (e.g. Bearer). The dict key is the name of the security scheme in the OAS specification. The dict value is an API key prefix when generating the auth data. :param username: Username for HTTP basic authentication. :param password: Password for HTTP basic authentication. :param discard_unknown_keys: Boolean value indicating whether to discard unknown properties. A server may send a response that includes additional properties that are not known by the client in the following scenarios: 1. The OpenAPI document is incomplete, i.e. it does not match the server implementation. 2. The client was generated using an older version of the OpenAPI document and the server has been upgraded since then. If a schema in the OpenAPI document defines the additionalProperties attribute, then all undeclared properties received by the server are injected into the additional properties map. In that case, there are undeclared properties, and nothing to discard. :param disabled_client_side_validations: Comma-separated list of JSON schema validation keywords to disable JSON schema structural validation rules. The following keywords may be specified: multipleOf, maximum, exclusiveMaximum, minimum, exclusiveMinimum, maxLength, minLength, pattern, maxItems, minItems. By default, the validation is performed for data generated locally by the client and data received from the server, independent of any validation performed by the server side. If the input data does not satisfy the JSON schema validation rules specified in the OpenAPI document, an exception is raised. If disabled_client_side_validations is set, structural validation is disabled. This can be useful to troubleshoot data validation problem, such as when the OpenAPI document validation rules do not match the actual API data received by the server. :type disabled_client_side_validations: str :param server_index: Index to servers configuration. :param server_variables: Mapping with string values to replace variables in templated server configuration. The validation of enums is performed for variables with defined enum values before. :param server_operation_index: Mapping from operation ID to an index to server configuration. :param server_operation_variables: Mapping from operation ID to a mapping with string values to replace variables in templated server configuration. The validation of enums is performed for variables with defined enum values before. :param ssl_ca_cert: The path to a file of concatenated CA certificates in PEM format. :param compress: Boolean indicating whether encoded responses are accepted or not. :type compress: bool :param return_http_data_only: Response data without head status code and headers. Default is True. :type return_http_data_only: bool :param preload_content: If False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type preload_content: bool :param request_timeout: Timeout setting for this request. If one number is provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. :type request_timeout: float/tuple :param check_input_type: Specifies if type checking should be done on the data sent to the server. Default is True. :type check_input_type: bool :param check_return_type: Specifies if type checking should be done on the data received from the server. Default is True. :type check_return_type: bool :param spec_property_naming: Whether names in properties are expected to respect the spec or use snake case. :type spec_property_naming: bool :param enable_retry: If set, the client will retry requests on backend errors (5xx status codes), and 429. On 429 if will use the returned headers to wait until the next requests, otherwise it will retry using the backoff factor. :type enable_retry: bool :param retry_backoff_factor: Factor used to space out retried requests on backend errors. :type retry_backoff_factor: float :param max_retries: The maximum number of times a single request can be retried. :type max_retries: int """ def __init__( self, host=None, api_key=None, api_key_prefix=None, access_token=None, username=None, password=None, discard_unknown_keys=True, disabled_client_side_validations="", server_index=None, server_variables=None, server_operation_index=None, server_operation_variables=None, ssl_ca_cert=None, compress=True, return_http_data_only=True, preload_content=True, request_timeout=None, check_input_type=True, check_return_type=True, spec_property_naming=False, enable_retry=False, retry_backoff_factor=2, max_retries=3, ): """Constructor.""" self._base_path = "https://api.datadoghq.com" if host is None else host self.server_index = 0 if server_index is None and host is None else server_index self.server_operation_index = server_operation_index or {} self.server_variables = server_variables or {} self.server_operation_variables = server_operation_variables or {} self.temp_folder_path = None # Authentication Settings self.access_token = access_token self.api_key = {} if api_key: self.api_key = api_key self.api_key_prefix = {} if api_key_prefix: self.api_key_prefix = api_key_prefix self.refresh_api_key_hook = None self.username = username self.password = password self.discard_unknown_keys = discard_unknown_keys self.disabled_client_side_validations = disabled_client_side_validations self.logger = {} self.logger["package_logger"] = logging.getLogger("datadog_api_client") self.logger["urllib3_logger"] = logging.getLogger("urllib3") self.logger_format = "%(asctime)s %(levelname)s %(message)s" self.logger_stream_handler = None self.logger_file_handler = None self.logger_file = None self.debug = False self.verify_ssl = True self.ssl_ca_cert = ssl_ca_cert self.cert_file = None self.key_file = None self.assert_hostname = None self.proxy = None self.proxy_headers = None self.safe_chars_for_path_param = "" # Enable client side validation self.client_side_validation = True # Options to pass down to the underlying urllib3 socket self.socket_options = None # Will translate to a Accept-Encoding header self.compress = compress self.return_http_data_only = return_http_data_only self.preload_content = preload_content self.request_timeout = request_timeout self.check_input_type = check_input_type self.check_return_type = check_return_type self.spec_property_naming = spec_property_naming # Options for http retry self.enable_retry = enable_retry self.retry_backoff_factor = retry_backoff_factor self.max_retries = max_retries # Keep track of unstable operations self.unstable_operations = _UnstableOperations( { "v2.create_open_api": False, "v2.delete_open_api": False, "v2.get_open_api": Fals
(host=None, api_key=None, api_key_prefix=None, access_token=None, username=None, password=None, discard_unknown_keys=True, disabled_client_side_validations='', server_index=None, server_variables=None, server_operation_index=None, server_operation_variables=None, ssl_ca_cert=None, compress=True, return_http_data_only=True, preload_content=True, request_timeout=None, check_input_type=True, check_return_type=True, spec_property_naming=False, enable_retry=False, retry_backoff_factor=2, max_retries=3)
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21,847
datadog_api_client.configuration
__deepcopy__
null
def __deepcopy__(self, memo): cls = self.__class__ result = cls.__new__(cls) memo[id(self)] = result for k, v in self.__dict__.items(): if k not in ("logger", "logger_file_handler"): setattr(result, k, copy.deepcopy(v, memo)) # Shallow copy of loggers result.logger = copy.copy(self.logger) # Use setters to configure loggers result.logger_file = self.logger_file result.debug = self.debug return result
(self, memo)
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21,848
datadog_api_client.configuration
__init__
Constructor.
def __init__( self, host=None, api_key=None, api_key_prefix=None, access_token=None, username=None, password=None, discard_unknown_keys=True, disabled_client_side_validations="", server_index=None, server_variables=None, server_operation_index=None, server_operation_variables=None, ssl_ca_cert=None, compress=True, return_http_data_only=True, preload_content=True, request_timeout=None, check_input_type=True, check_return_type=True, spec_property_naming=False, enable_retry=False, retry_backoff_factor=2, max_retries=3, ): """Constructor.""" self._base_path = "https://api.datadoghq.com" if host is None else host self.server_index = 0 if server_index is None and host is None else server_index self.server_operation_index = server_operation_index or {} self.server_variables = server_variables or {} self.server_operation_variables = server_operation_variables or {} self.temp_folder_path = None # Authentication Settings self.access_token = access_token self.api_key = {} if api_key: self.api_key = api_key self.api_key_prefix = {} if api_key_prefix: self.api_key_prefix = api_key_prefix self.refresh_api_key_hook = None self.username = username self.password = password self.discard_unknown_keys = discard_unknown_keys self.disabled_client_side_validations = disabled_client_side_validations self.logger = {} self.logger["package_logger"] = logging.getLogger("datadog_api_client") self.logger["urllib3_logger"] = logging.getLogger("urllib3") self.logger_format = "%(asctime)s %(levelname)s %(message)s" self.logger_stream_handler = None self.logger_file_handler = None self.logger_file = None self.debug = False self.verify_ssl = True self.ssl_ca_cert = ssl_ca_cert self.cert_file = None self.key_file = None self.assert_hostname = None self.proxy = None self.proxy_headers = None self.safe_chars_for_path_param = "" # Enable client side validation self.client_side_validation = True # Options to pass down to the underlying urllib3 socket self.socket_options = None # Will translate to a Accept-Encoding header self.compress = compress self.return_http_data_only = return_http_data_only self.preload_content = preload_content self.request_timeout = request_timeout self.check_input_type = check_input_type self.check_return_type = check_return_type self.spec_property_naming = spec_property_naming # Options for http retry self.enable_retry = enable_retry self.retry_backoff_factor = retry_backoff_factor self.max_retries = max_retries # Keep track of unstable operations self.unstable_operations = _UnstableOperations( { "v2.create_open_api": False, "v2.delete_open_api": False, "v2.get_open_api": False, "v2.update_open_api": False, "v2.get_active_billing_dimensions": False, "v2.get_monthly_cost_attribution": False, "v2.create_dora_deployment": False, "v2.create_dora_incident": False, "v2.create_incident": False, "v2.create_incident_integration": False, "v2.create_incident_todo": False, "v2.delete_incident": False, "v2.delete_incident_integration": False, "v2.delete_incident_todo": False, "v2.get_incident": False, "v2.get_incident_integration": False, "v2.get_incident_todo": False, "v2.list_incident_attachments": False, "v2.list_incident_integrations": False, "v2.list_incidents": False, "v2.list_incident_todos": False, "v2.search_incidents": False, "v2.update_incident": False, "v2.update_incident_attachments": False, "v2.update_incident_integration": False, "v2.update_incident_todo": False, "v2.query_scalar_data": False, "v2.query_timeseries_data": False, "v2.get_finding": False, "v2.list_findings": False, "v2.mute_findings": False, "v2.create_scorecard_outcomes_batch": False, "v2.create_scorecard_rule": False, "v2.delete_scorecard_rule": False, "v2.list_scorecard_outcomes": False, "v2.list_scorecard_rules": False, "v2.create_incident_service": False, "v2.delete_incident_service": False, "v2.get_incident_service": False, "v2.list_incident_services": False, "v2.update_incident_service": False, "v2.create_slo_report_job": False, "v2.get_slo_report": False, "v2.get_slo_report_job_status": False, "v2.create_incident_team": False, "v2.delete_incident_team": False, "v2.get_incident_team": False, "v2.list_incident_teams": False, "v2.update_incident_team": False, } ) # Load default values from environment if "DD_SITE" in os.environ: self.server_variables["site"] = os.environ["DD_SITE"] if "DD_API_KEY" in os.environ and not self.api_key.get("apiKeyAuth"): self.api_key["apiKeyAuth"] = os.environ["DD_API_KEY"] if "DD_APP_KEY" in os.environ and not self.api_key.get("appKeyAuth"): self.api_key["appKeyAuth"] = os.environ["DD_APP_KEY"]
(self, host=None, api_key=None, api_key_prefix=None, access_token=None, username=None, password=None, discard_unknown_keys=True, disabled_client_side_validations='', server_index=None, server_variables=None, server_operation_index=None, server_operation_variables=None, ssl_ca_cert=None, compress=True, return_http_data_only=True, preload_content=True, request_timeout=None, check_input_type=True, check_return_type=True, spec_property_naming=False, enable_retry=False, retry_backoff_factor=2, max_retries=3)
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21,849
datadog_api_client.configuration
__setattr__
null
def __setattr__(self, name, value): object.__setattr__(self, name, value) if name == "disabled_client_side_validations": s = set(filter(None, value.split(","))) for v in s: if v not in JSON_SCHEMA_VALIDATION_KEYWORDS: raise ApiValueError("Invalid keyword: '{0}''".format(v)) self._disabled_client_side_validations = s
(self, name, value)
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21,850
datadog_api_client.configuration
auth_settings
Gets Auth Settings dict for api client. :return: The Auth Settings information dict.
def auth_settings(self): """Gets Auth Settings dict for api client. :return: The Auth Settings information dict. """ auth = {} if self.access_token is not None: auth["AuthZ"] = { "type": "oauth2", "in": "header", "key": "Authorization", "value": "Bearer " + self.access_token, } if "apiKeyAuth" in self.api_key: auth["apiKeyAuth"] = { "type": "api_key", "in": "header", "key": "DD-API-KEY", "value": self.get_api_key_with_prefix( "apiKeyAuth", ), } if "appKeyAuth" in self.api_key: auth["appKeyAuth"] = { "type": "api_key", "in": "header", "key": "DD-APPLICATION-KEY", "value": self.get_api_key_with_prefix( "appKeyAuth", ), } return auth
(self)
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21,851
datadog_api_client.configuration
get_api_key_with_prefix
Gets API key (with prefix if set). :param identifier: The identifier of apiKey. :param alias: The alternative identifier of apiKey. :return: The token for api key authentication.
def get_api_key_with_prefix(self, identifier, alias=None): """Gets API key (with prefix if set). :param identifier: The identifier of apiKey. :param alias: The alternative identifier of apiKey. :return: The token for api key authentication. """ if self.refresh_api_key_hook is not None: self.refresh_api_key_hook(self) key = self.api_key.get(identifier, self.api_key.get(alias) if alias is not None else None) if key: prefix = self.api_key_prefix.get(identifier) if prefix: return "%s %s" % (prefix, key) return key
(self, identifier, alias=None)
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21,852
datadog_api_client.configuration
get_basic_auth_token
Gets HTTP basic authentication header (string). :return: The token for basic HTTP authentication.
def get_basic_auth_token(self): """Gets HTTP basic authentication header (string). :return: The token for basic HTTP authentication. """ username = "" if self.username is not None: username = self.username password = "" if self.password is not None: password = self.password return urllib3.util.make_headers(basic_auth=username + ":" + password).get("authorization")
(self)
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21,853
datadog_api_client.configuration
get_host_from_settings
Gets host URL based on the index and variables. :param index: Array index of the host settings. :param variables: Hash of variable and the corresponding value. :param servers: An array of host settings or None. :return: URL based on host settings.
def get_host_from_settings(self, index, variables=None, servers=None): """Gets host URL based on the index and variables. :param index: Array index of the host settings. :param variables: Hash of variable and the corresponding value. :param servers: An array of host settings or None. :return: URL based on host settings. """ if index is None: return self._base_path variables = {} if variables is None else variables servers = self.get_host_settings() if servers is None else servers try: server = servers[index] except IndexError: raise ValueError( "Invalid index {} when selecting the host settings. " "Must be less than {}".format(index, len(servers)) ) url = server["url"] # go through variables and replace placeholders for variable_name, variable in server.get("variables", {}).items(): used_value = variables.get(variable_name, variable["default_value"]) if "enum_values" in variable and used_value not in variable["enum_values"]: raise ValueError( "The variable `{}` in the host URL has invalid value " "{}. Must be {}.".format( variable_name, variables[variable_name], variable["enum_values"] ) ) url = url.replace(f"{{{variable_name}}}", used_value) return url
(self, index, variables=None, servers=None)
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21,854
datadog_api_client.configuration
get_host_settings
Gets an array of host settings :return: An array of host settings
def get_host_settings(self): """Gets an array of host settings :return: An array of host settings """ return [ { "url": "https://{subdomain}.{site}", "description": "No description provided", "variables": { "site": { "description": "The regional site for Datadog customers.", "default_value": "datadoghq.com", "enum_values": [ "datadoghq.com", "us3.datadoghq.com", "us5.datadoghq.com", "ap1.datadoghq.com", "datadoghq.eu", "ddog-gov.com", ], }, "subdomain": { "description": "The subdomain where the API is deployed.", "default_value": "api", }, }, }, { "url": "{protocol}://{name}", "description": "No description provided", "variables": { "name": { "description": "Full site DNS name.", "default_value": "api.datadoghq.com", }, "protocol": { "description": "The protocol for accessing the API.", "default_value": "https", }, }, }, { "url": "https://{subdomain}.{site}", "description": "No description provided", "variables": { "site": { "description": "Any Datadog deployment.", "default_value": "datadoghq.com", }, "subdomain": { "description": "The subdomain where the API is deployed.", "default_value": "api", }, }, }, ]
(self)
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21,855
datadog_api_client.api_client
ThreadedApiClient
null
class ThreadedApiClient(ApiClient): _pool = None def __init__(self, configuration: Configuration, pool_threads: int = 1): self.pool_threads = pool_threads self.connection_pool_maxsize = multiprocessing.cpu_count() * 5 super().__init__(configuration) def _build_rest_client(self): return rest.RESTClientObject(self.configuration, maxsize=self.connection_pool_maxsize) def close(self) -> None: self.rest_client.pool_manager.clear() if self._pool: self._pool.close() self._pool.join() self._pool = None if hasattr(atexit, "unregister"): atexit.unregister(self.close) @property def pool(self) -> ThreadPool: """Create thread pool on first request avoids instantiating unused threadpool for blocking clients. """ if self._pool is None: atexit.register(self.close) self._pool = ThreadPool(self.pool_threads) return self._pool def _call_api( self, method: str, url: str, query_params: Optional[List[Tuple[str, Any]]] = None, header_params: Optional[Dict[str, Any]] = None, body: Optional[Any] = None, post_params: Optional[List[Tuple[str, Any]]] = None, response_type: Optional[Tuple[Any]] = None, return_http_data_only: Optional[bool] = None, preload_content: bool = True, request_timeout: Optional[Union[int, float, Tuple]] = None, check_type: Optional[bool] = None, ): return self.pool.apply_async( super()._call_api, ( method, url, query_params, header_params, body, post_params, response_type, return_http_data_only, preload_content, request_timeout, check_type, ), )
(configuration: datadog_api_client.configuration.Configuration, pool_threads: int = 1)
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21,858
datadog_api_client.api_client
__init__
null
def __init__(self, configuration: Configuration, pool_threads: int = 1): self.pool_threads = pool_threads self.connection_pool_maxsize = multiprocessing.cpu_count() * 5 super().__init__(configuration)
(self, configuration: datadog_api_client.configuration.Configuration, pool_threads: int = 1)
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21,859
datadog_api_client.api_client
_build_rest_client
null
def _build_rest_client(self): return rest.RESTClientObject(self.configuration, maxsize=self.connection_pool_maxsize)
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21,860
datadog_api_client.api_client
_call_api
null
def _call_api( self, method: str, url: str, query_params: Optional[List[Tuple[str, Any]]] = None, header_params: Optional[Dict[str, Any]] = None, body: Optional[Any] = None, post_params: Optional[List[Tuple[str, Any]]] = None, response_type: Optional[Tuple[Any]] = None, return_http_data_only: Optional[bool] = None, preload_content: bool = True, request_timeout: Optional[Union[int, float, Tuple]] = None, check_type: Optional[bool] = None, ): return self.pool.apply_async( super()._call_api, ( method, url, query_params, header_params, body, post_params, response_type, return_http_data_only, preload_content, request_timeout, check_type, ), )
(self, method: str, url: str, query_params: Optional[List[Tuple[str, Any]]] = None, header_params: Optional[Dict[str, Any]] = None, body: Optional[Any] = None, post_params: Optional[List[Tuple[str, Any]]] = None, response_type: Optional[Tuple[Any]] = None, return_http_data_only: Optional[bool] = None, preload_content: bool = True, request_timeout: Union[int, float, Tuple, NoneType] = None, check_type: Optional[bool] = None)
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21,864
datadog_api_client.api_client
close
null
def close(self) -> None: self.rest_client.pool_manager.clear() if self._pool: self._pool.close() self._pool.join() self._pool = None if hasattr(atexit, "unregister"): atexit.unregister(self.close)
(self) -> NoneType
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21,878
prefect_dask.task_runners
DaskTaskRunner
A parallel task_runner that submits tasks to the `dask.distributed` scheduler. By default a temporary `distributed.LocalCluster` is created (and subsequently torn down) within the `start()` contextmanager. To use a different cluster class (e.g. [`dask_kubernetes.KubeCluster`](https://kubernetes.dask.org/)), you can specify `cluster_class`/`cluster_kwargs`. Alternatively, if you already have a dask cluster running, you can provide the cluster object via the `cluster` kwarg or the address of the scheduler via the `address` kwarg. !!! warning "Multiprocessing safety" Note that, because the `DaskTaskRunner` uses multiprocessing, calls to flows in scripts must be guarded with `if __name__ == "__main__":` or warnings will be displayed. Args: cluster (distributed.deploy.Cluster, optional): Currently running dask cluster; if one is not provider (or specified via `address` kwarg), a temporary cluster will be created in `DaskTaskRunner.start()`. Defaults to `None`. address (string, optional): Address of a currently running dask scheduler. Defaults to `None`. cluster_class (string or callable, optional): The cluster class to use when creating a temporary dask cluster. Can be either the full class name (e.g. `"distributed.LocalCluster"`), or the class itself. cluster_kwargs (dict, optional): Additional kwargs to pass to the `cluster_class` when creating a temporary dask cluster. adapt_kwargs (dict, optional): Additional kwargs to pass to `cluster.adapt` when creating a temporary dask cluster. Note that adaptive scaling is only enabled if `adapt_kwargs` are provided. client_kwargs (dict, optional): Additional kwargs to use when creating a [`dask.distributed.Client`](https://distributed.dask.org/en/latest/api.html#client). Examples: Using a temporary local dask cluster: ```python from prefect import flow from prefect_dask.task_runners import DaskTaskRunner @flow(task_runner=DaskTaskRunner) def my_flow(): ... ``` Using a temporary cluster running elsewhere. Any Dask cluster class should work, here we use [dask-cloudprovider](https://cloudprovider.dask.org): ```python DaskTaskRunner( cluster_class="dask_cloudprovider.FargateCluster", cluster_kwargs={ "image": "prefecthq/prefect:latest", "n_workers": 5, }, ) ``` Connecting to an existing dask cluster: ```python DaskTaskRunner(address="192.0.2.255:8786") ```
class DaskTaskRunner(BaseTaskRunner): """ A parallel task_runner that submits tasks to the `dask.distributed` scheduler. By default a temporary `distributed.LocalCluster` is created (and subsequently torn down) within the `start()` contextmanager. To use a different cluster class (e.g. [`dask_kubernetes.KubeCluster`](https://kubernetes.dask.org/)), you can specify `cluster_class`/`cluster_kwargs`. Alternatively, if you already have a dask cluster running, you can provide the cluster object via the `cluster` kwarg or the address of the scheduler via the `address` kwarg. !!! warning "Multiprocessing safety" Note that, because the `DaskTaskRunner` uses multiprocessing, calls to flows in scripts must be guarded with `if __name__ == "__main__":` or warnings will be displayed. Args: cluster (distributed.deploy.Cluster, optional): Currently running dask cluster; if one is not provider (or specified via `address` kwarg), a temporary cluster will be created in `DaskTaskRunner.start()`. Defaults to `None`. address (string, optional): Address of a currently running dask scheduler. Defaults to `None`. cluster_class (string or callable, optional): The cluster class to use when creating a temporary dask cluster. Can be either the full class name (e.g. `"distributed.LocalCluster"`), or the class itself. cluster_kwargs (dict, optional): Additional kwargs to pass to the `cluster_class` when creating a temporary dask cluster. adapt_kwargs (dict, optional): Additional kwargs to pass to `cluster.adapt` when creating a temporary dask cluster. Note that adaptive scaling is only enabled if `adapt_kwargs` are provided. client_kwargs (dict, optional): Additional kwargs to use when creating a [`dask.distributed.Client`](https://distributed.dask.org/en/latest/api.html#client). Examples: Using a temporary local dask cluster: ```python from prefect import flow from prefect_dask.task_runners import DaskTaskRunner @flow(task_runner=DaskTaskRunner) def my_flow(): ... ``` Using a temporary cluster running elsewhere. Any Dask cluster class should work, here we use [dask-cloudprovider](https://cloudprovider.dask.org): ```python DaskTaskRunner( cluster_class="dask_cloudprovider.FargateCluster", cluster_kwargs={ "image": "prefecthq/prefect:latest", "n_workers": 5, }, ) ``` Connecting to an existing dask cluster: ```python DaskTaskRunner(address="192.0.2.255:8786") ``` """ def __init__( self, cluster: Optional[distributed.deploy.Cluster] = None, address: str = None, cluster_class: Union[str, Callable] = None, cluster_kwargs: dict = None, adapt_kwargs: dict = None, client_kwargs: dict = None, ): # Validate settings and infer defaults if address: if cluster or cluster_class or cluster_kwargs or adapt_kwargs: raise ValueError( "Cannot specify `address` and " "`cluster`/`cluster_class`/`cluster_kwargs`/`adapt_kwargs`" ) elif cluster: if cluster_class or cluster_kwargs: raise ValueError( "Cannot specify `cluster` and `cluster_class`/`cluster_kwargs`" ) if not cluster.asynchronous: raise ValueError( "The cluster must have `asynchronous=True` to be " "used with `DaskTaskRunner`." ) else: if isinstance(cluster_class, str): cluster_class = from_qualified_name(cluster_class) else: cluster_class = cluster_class # Create a copies of incoming kwargs since we may mutate them cluster_kwargs = cluster_kwargs.copy() if cluster_kwargs else {} adapt_kwargs = adapt_kwargs.copy() if adapt_kwargs else {} client_kwargs = client_kwargs.copy() if client_kwargs else {} # Update kwargs defaults client_kwargs.setdefault("set_as_default", False) # The user cannot specify async/sync themselves if "asynchronous" in client_kwargs: raise ValueError( "`client_kwargs` cannot set `asynchronous`. " "This option is managed by Prefect." ) if "asynchronous" in cluster_kwargs: raise ValueError( "`cluster_kwargs` cannot set `asynchronous`. " "This option is managed by Prefect." ) # Store settings self.address = address self.cluster_class = cluster_class self.cluster_kwargs = cluster_kwargs self.adapt_kwargs = adapt_kwargs self.client_kwargs = client_kwargs # Runtime attributes self._client: "distributed.Client" = None self._cluster: "distributed.deploy.Cluster" = cluster self._dask_futures: Dict[str, "distributed.Future"] = {} super().__init__() @property def concurrency_type(self) -> TaskConcurrencyType: return ( TaskConcurrencyType.PARALLEL if self.cluster_kwargs.get("processes") else TaskConcurrencyType.CONCURRENT ) def duplicate(self): """ Create a new instance of the task runner with the same settings. """ return type(self)( address=self.address, cluster_class=self.cluster_class, cluster_kwargs=self.cluster_kwargs, adapt_kwargs=self.adapt_kwargs, client_kwargs=self.client_kwargs, ) def __eq__(self, other: object) -> bool: """ Check if an instance has the same settings as this task runner. """ if type(self) == type(other): return ( self.address == other.address and self.cluster_class == other.cluster_class and self.cluster_kwargs == other.cluster_kwargs and self.adapt_kwargs == other.adapt_kwargs and self.client_kwargs == other.client_kwargs ) else: return NotImplemented async def submit( self, key: UUID, call: Callable[..., Awaitable[State[R]]], ) -> None: if not self._started: raise RuntimeError( "The task runner must be started before submitting work." ) # unpack the upstream call in order to cast Prefect futures to Dask futures # where possible to optimize Dask task scheduling call_kwargs = self._optimize_futures(call.keywords) if "task_run" in call_kwargs: task_run = call_kwargs["task_run"] flow_run = FlowRunContext.get().flow_run # Dask displays the text up to the first '-' as the name; the task run key # should include the task run name for readability in the Dask console. # For cases where the task run fails and reruns for a retried flow run, # the flow run count is included so that the new key will not match # the failed run's key, therefore not retrieving from the Dask cache. dask_key = f"{task_run.name}-{task_run.id.hex}-{flow_run.run_count}" else: dask_key = str(key) self._dask_futures[key] = self._client.submit( call.func, key=dask_key, # Dask defaults to treating functions are pure, but we set this here for # explicit expectations. If this task run is submitted to Dask twice, the # result of the first run should be returned. Subsequent runs would return # `Abort` exceptions if they were submitted again. pure=True, **call_kwargs, ) def
(cluster: Optional[distributed.deploy.cluster.Cluster] = None, address: str = None, cluster_class: Union[str, Callable] = None, cluster_kwargs: dict = None, adapt_kwargs: dict = None, client_kwargs: dict = None)
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21,879
prefect_dask.task_runners
__eq__
Check if an instance has the same settings as this task runner.
def __eq__(self, other: object) -> bool: """ Check if an instance has the same settings as this task runner. """ if type(self) == type(other): return ( self.address == other.address and self.cluster_class == other.cluster_class and self.cluster_kwargs == other.cluster_kwargs and self.adapt_kwargs == other.adapt_kwargs and self.client_kwargs == other.client_kwargs ) else: return NotImplemented
(self, other: object) -> bool
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21,880
prefect_dask.task_runners
__getstate__
Allow the `DaskTaskRunner` to be serialized by dropping the `distributed.Client`, which contains locks. Must be deserialized on a dask worker.
def __getstate__(self): """ Allow the `DaskTaskRunner` to be serialized by dropping the `distributed.Client`, which contains locks. Must be deserialized on a dask worker. """ data = self.__dict__.copy() data.update({k: None for k in {"_client", "_cluster", "_connect_to"}}) return data
(self)
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21,881
prefect_dask.task_runners
__init__
null
def __init__( self, cluster: Optional[distributed.deploy.Cluster] = None, address: str = None, cluster_class: Union[str, Callable] = None, cluster_kwargs: dict = None, adapt_kwargs: dict = None, client_kwargs: dict = None, ): # Validate settings and infer defaults if address: if cluster or cluster_class or cluster_kwargs or adapt_kwargs: raise ValueError( "Cannot specify `address` and " "`cluster`/`cluster_class`/`cluster_kwargs`/`adapt_kwargs`" ) elif cluster: if cluster_class or cluster_kwargs: raise ValueError( "Cannot specify `cluster` and `cluster_class`/`cluster_kwargs`" ) if not cluster.asynchronous: raise ValueError( "The cluster must have `asynchronous=True` to be " "used with `DaskTaskRunner`." ) else: if isinstance(cluster_class, str): cluster_class = from_qualified_name(cluster_class) else: cluster_class = cluster_class # Create a copies of incoming kwargs since we may mutate them cluster_kwargs = cluster_kwargs.copy() if cluster_kwargs else {} adapt_kwargs = adapt_kwargs.copy() if adapt_kwargs else {} client_kwargs = client_kwargs.copy() if client_kwargs else {} # Update kwargs defaults client_kwargs.setdefault("set_as_default", False) # The user cannot specify async/sync themselves if "asynchronous" in client_kwargs: raise ValueError( "`client_kwargs` cannot set `asynchronous`. " "This option is managed by Prefect." ) if "asynchronous" in cluster_kwargs: raise ValueError( "`cluster_kwargs` cannot set `asynchronous`. " "This option is managed by Prefect." ) # Store settings self.address = address self.cluster_class = cluster_class self.cluster_kwargs = cluster_kwargs self.adapt_kwargs = adapt_kwargs self.client_kwargs = client_kwargs # Runtime attributes self._client: "distributed.Client" = None self._cluster: "distributed.deploy.Cluster" = cluster self._dask_futures: Dict[str, "distributed.Future"] = {} super().__init__()
(self, cluster: Optional[distributed.deploy.cluster.Cluster] = None, address: Optional[str] = None, cluster_class: Union[str, Callable, NoneType] = None, cluster_kwargs: Optional[dict] = None, adapt_kwargs: Optional[dict] = None, client_kwargs: Optional[dict] = None)
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21,882
prefect_dask.task_runners
__setstate__
Restore the `distributed.Client` by loading the client on a dask worker.
def __setstate__(self, data: dict): """ Restore the `distributed.Client` by loading the client on a dask worker. """ self.__dict__.update(data) self._client = distributed.get_client()
(self, data: dict)
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21,883
prefect.task_runners
__str__
null
def __str__(self) -> str: return type(self).__name__
(self) -> str
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21,884
prefect_dask.task_runners
_get_dask_future
Retrieve the dask future corresponding to a Prefect future. The Dask future is for the `run_fn`, which should return a `State`.
def _get_dask_future(self, key: UUID) -> "distributed.Future": """ Retrieve the dask future corresponding to a Prefect future. The Dask future is for the `run_fn`, which should return a `State`. """ return self._dask_futures[key]
(self, key: uuid.UUID) -> distributed.client.Future
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21,885
prefect_dask.task_runners
_optimize_futures
null
def _optimize_futures(self, expr): def visit_fn(expr): if isinstance(expr, PrefectFuture): dask_future = self._dask_futures.get(expr.key) if dask_future is not None: return dask_future # Fallback to return the expression unaltered return expr return visit_collection(expr, visit_fn=visit_fn, return_data=True)
(self, expr)
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21,886
prefect_dask.task_runners
_start
Start the task runner and prep for context exit. - Creates a cluster if an external address is not set. - Creates a client to connect to the cluster. - Pushes a call to wait for all running futures to complete on exit.
def _optimize_futures(self, expr): def visit_fn(expr): if isinstance(expr, PrefectFuture): dask_future = self._dask_futures.get(expr.key) if dask_future is not None: return dask_future # Fallback to return the expression unaltered return expr return visit_collection(expr, visit_fn=visit_fn, return_data=True)
(self, exit_stack: contextlib.AsyncExitStack)
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21,887
prefect_dask.task_runners
duplicate
Create a new instance of the task runner with the same settings.
def duplicate(self): """ Create a new instance of the task runner with the same settings. """ return type(self)( address=self.address, cluster_class=self.cluster_class, cluster_kwargs=self.cluster_kwargs, adapt_kwargs=self.adapt_kwargs, client_kwargs=self.client_kwargs, )
(self)
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21,888
prefect.task_runners
start
Start the task runner, preparing any resources necessary for task submission. Children should implement `_start` to prepare and clean up resources. Yields: The prepared task runner
def duplicate(self): return type(self)()
(self: ~T) -> AsyncIterator[~T]
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21,889
prefect_dask.task_runners
submit
null
def __eq__(self, other: object) -> bool: """ Check if an instance has the same settings as this task runner. """ if type(self) == type(other): return ( self.address == other.address and self.cluster_class == other.cluster_class and self.cluster_kwargs == other.cluster_kwargs and self.adapt_kwargs == other.adapt_kwargs and self.client_kwargs == other.client_kwargs ) else: return NotImplemented
(self, key: uuid.UUID, call: Callable[..., Awaitable[prefect.client.schemas.objects.State[~R]]]) -> NoneType
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21,896
e3nn
get_optimization_defaults
Get the global default optimization settings.
def get_optimization_defaults() -> Dict[str, bool]: r"""Get the global default optimization settings.""" return dict(_OPT_DEFAULTS)
() -> Dict[str, bool]
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21,901
e3nn
set_optimization_defaults
Globally set the default optimization settings. Parameters ---------- **kwargs Keyword arguments to set the default optimization settings.
def set_optimization_defaults(**kwargs) -> None: r"""Globally set the default optimization settings. Parameters ---------- **kwargs Keyword arguments to set the default optimization settings. """ for k, v in kwargs.items(): if k not in _OPT_DEFAULTS: raise ValueError(f"Unknown optimization option: {k}") _OPT_DEFAULTS[k] = v
(**kwargs) -> NoneType
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21,903
ep_tm
add_one
null
def add_one(number): return number + 1
(number)
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0.04396539926528931, 0.020371312275528908, -0.00500801857560873, 0.0545835867524147 ]
21,904
twod.exceptions
ColinearPoints
null
class ColinearPoints(Exception): pass
null
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21,905
twod.point
Point
Point(x: float = 0, y: float = 0)
class Point: x: float = 0 y: float = 0 """A two dimensional geometric point. The Point class represents a geometric point with 'x' and 'y' attributes and has many helpful properties and methods. >>> p = Point() >>> p.is_origin True """ @classmethod def from_polar( cls, radius: float, theta: float, is_radians: bool = True, translate: PointType = None, ) -> PointType: """Returns a Point with polar coordinates (R, ϴ). The point is genrated relative to the origin. :param float radius: :param float theta: :param bool is_radians: :return: Point """ theta = theta if is_radians else math.radians(theta) point = cls() point.polar = (radius, theta) if translate: point += translate return point @property def is_origin(self) -> bool: """True if and only if x == 0 and y == 0.""" return self.x == 0 and self.y == 0 @property def quadrant(self) -> Quadrant: """The quadrant in the cartesian plane this point is located in. Possible values are: - Quadrant.I - Quadrant.II - Quadrant.III - Quadrant.IV - Quadrant.ORIGIN. """ if self.x > 0: if self.y > 0: return Quadrant.I if self.y < 0: return Quadrant.IV if self.x < 0: if self.y > 0: return Quadrant.II if self.y < 0: return Quadrant.III return Quadrant.ORIGIN def _polar_to_cartesian(self, radius: float, radians: float) -> None: """Computes cartesian coordinates from polar coordinates. The polar coordinates are expected to be a dimensionless radius and angle in radians. :param float radius: :param float radians: """ self.x = round(radius * math.cos(radians), EPSILON_EXP_MINUS_1) self.y = round(radius * math.sin(radians), EPSILON_EXP_MINUS_1) @property def radius(self) -> float: """The distance from this point to the origin.""" return math.hypot(self.x, self.y) @radius.setter def radius(self, new_value: float) -> None: self._polar_to_cartesian(new_value, self.radians) @property def radians(self) -> float: """The angle in radians measured counter-clockwise from 3 o'clock.""" return math.atan2(self.y, self.x) @radians.setter def radians(self, new_value: float) -> None: self._polar_to_cartesian(self.radius, new_value) @property def degrees(self) -> float: """The angle in degrees measured counter-clockwise from 3 o'clock.""" return math.degrees(self.radians) @degrees.setter def degrees(self, new_value: float) -> None: self._polar_to_cartesian(self.radius, math.radians(new_value)) @property def polar(self) -> Tuple[float, float]: """Polar coordinates tuple: (R, ϴ). R is the distance from the origin to this point. ϴ is the angle (radians) measured counter-clockwise from 3 o'clock. """ return (self.radius, self.radians) @polar.setter def polar(self, new_values: Iterable[Numeric]) -> None: try: radius, radians, *_ = map(float, new_values) self._polar_to_cartesian(radius, radians) return except (TypeError, ValueError): pass raise TypeError( f"Expected a Iterable[Union[int, float]], got {type(new_values)}" ) @property def polar_deg(self) -> Tuple[float, float]: """Polar coordinates tuple: (R, ϴ). R is the distance from the origin to this point. ϴ is the angle (degrees) measured counter-clockwise from 3 o'clock. """ radius, radians = self.polar return (radius, math.degrees(radians)) @polar_deg.setter def polar_deg(self, new_values: Tuple[Numeric, Numeric]) -> None: try: radius, degrees, *_ = map(float, new_values) self._polar_to_cartesian(radius=radius, radians=math.radians(degrees)) return except (TypeError, ValueError): pass raise TypeError( f"Expected a Iterable[Union[int, float]], got {type(new_values)}" ) @property def xy(self) -> Tuple[float, float]: """A tuple of this point's x and y coordinates.""" return (self.x, self.y) @xy.setter def xy(self, new_values: Iterable[Numeric]) -> None: try: self.x, self.y, *_ = map(float, new_values) return except (TypeError, ValueError): pass raise TypeError( f"Expected a Iterable[Union[int, float]], got {type(new_values)}" ) def __iter__(self) -> Iterable[Tuple[float, float]]: """An iterator over x and y coordinates.""" return iter([self.x, self.y]) def __len__(self) -> int: return 2 def __eq__(self, other: PointOrIterable) -> bool: try: return self.x == other.x and self.y == other.y except AttributeError: pass return all(a == b for a, b in zip(self, other)) def __getitem__(self, key: Union[int, slice]) -> float: if isinstance(key, int): if key == 0: return self.x if key == 1: return self.y raise IndexError("Key out of range: {key}") if isinstance(key, slice): return [self.x, self.y][key][0] raise TypeError(f"Expected int or slice key, not {type(key)}") def __setitem__(self, key: int, value: Numeric): if not isinstance(key, int): raise TypeError(f"Expected int key, not {type(key)}") if key == 0: self.x = value return if key == 1: self.y = value return raise IndexError(f"Key out of range: {key}") def __op(self, other: PointOrIterableOrScalar, op: Callable) -> PointType: """""" try: return Point(op(self.x, other.x), op(self.y, other.y)) except AttributeError: pass try: return Point(*[op(a, b) for a, b in zip(self, other)]) except TypeError: pass return Point(op(self.x, other), op(self.y, other)) def __iop(self, other: PointOrIterableOrScalar, op: Callable) -> PointType: """""" try: self.x = op(self.x, other.x) self.y = op(self.y, other.y) return self except AttributeError: pass try: self.x = op(self.x, other[0]) self.y = op(self.y, other[1]) return self except TypeError: pass self.x = op(self.x, other) self.y = op(self.y, other) return self def __add__(self, other: PointOrIterableOrScalar) -> PointType: """Add `other` to `self` and return a new Point.""" return self.__op(other, operator.add) def __iadd__(self, other: PointOrIterableOrScalar) -> PointType: """Add `other` to `self` in-place and returns `self`.""" return self.__iop(other, operator.add) def __sub__(self, other: PointOrIterableOrScalar) -> PointType: """Subtract `other` from `self` and return a new Point.""" return self.__op(other, operator.sub) def __isub__(self, other: PointOrIterableOrScalar) -> PointType: """Subtract `other` from `self` in-place and return `self`.""" return self.__iop(other, operator.sub) def __mul__(self, other: PointOrIterableOrScalar) -> PointType: """Multiply `self` with `other` and return a new Point.""" return self.__op(other, operator.mul) def __imul__(self, other: PointOrIterableOrScalar) -> PointType: """Multiply `self` with `other` in-place and return `self`.""" return self.__iop(other, operator.mul) def __truediv__(self, other: PointOrIterableOrScalar) -> PointTyp
(x: float = 0, y: float = 0) -> None
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21,906
twod.point
__iop
def __iop(self, other: PointOrIterableOrScalar, op: Callable) -> PointType: """""" try: self.x = op(self.x, other.x) self.y = op(self.y, other.y) return self except AttributeError: pass try: self.x = op(self.x, other[0]) self.y = op(self.y, other[1]) return self except TypeError: pass self.x = op(self.x, other) self.y = op(self.y, other) return self
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int], op: Callable) -> ~PointType
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21,907
twod.point
__op
def __op(self, other: PointOrIterableOrScalar, op: Callable) -> PointType: """""" try: return Point(op(self.x, other.x), op(self.y, other.y)) except AttributeError: pass try: return Point(*[op(a, b) for a, b in zip(self, other)]) except TypeError: pass return Point(op(self.x, other), op(self.y, other))
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int], op: Callable) -> ~PointType
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21,908
twod.point
__abs__
Apply absolute value to each coordinate and return a new Point.
def __abs__(self) -> PointType: """Apply absolute value to each coordinate and return a new Point.""" return Point(abs(self.x), abs(self.y))
(self) -> ~PointType
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21,909
twod.point
__add__
Add `other` to `self` and return a new Point.
def __add__(self, other: PointOrIterableOrScalar) -> PointType: """Add `other` to `self` and return a new Point.""" return self.__op(other, operator.add)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,910
twod.point
__eq__
null
def __eq__(self, other: PointOrIterable) -> bool: try: return self.x == other.x and self.y == other.y except AttributeError: pass return all(a == b for a, b in zip(self, other))
(self, other: Union[~PointType, Iterable[Union[float, int]]]) -> bool
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21,911
twod.point
__floordiv__
Divide `self` by `other` and return a new Point.
def __floordiv__(self, other: PointOrIterableOrScalar) -> PointType: """Divide `self` by `other` and return a new Point.""" return self.__op(other, operator.floordiv)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,912
twod.point
__getitem__
null
def __getitem__(self, key: Union[int, slice]) -> float: if isinstance(key, int): if key == 0: return self.x if key == 1: return self.y raise IndexError("Key out of range: {key}") if isinstance(key, slice): return [self.x, self.y][key][0] raise TypeError(f"Expected int or slice key, not {type(key)}")
(self, key: Union[int, slice]) -> float
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21,913
twod.point
__iadd__
Add `other` to `self` in-place and returns `self`.
def __iadd__(self, other: PointOrIterableOrScalar) -> PointType: """Add `other` to `self` in-place and returns `self`.""" return self.__iop(other, operator.add)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,914
twod.point
__ifloordiv__
Divide `self` by `other` in-place and return `self`.
def __ifloordiv__(self, other: PointOrIterableOrScalar) -> PointType: """Divide `self` by `other` in-place and return `self`.""" return self.__iop(other, operator.floordiv)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,915
twod.point
__imul__
Multiply `self` with `other` in-place and return `self`.
def __imul__(self, other: PointOrIterableOrScalar) -> PointType: """Multiply `self` with `other` in-place and return `self`.""" return self.__iop(other, operator.mul)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,916
twod.point
__init__
null
""" a two-dimensional point for humans™. """ import math import operator import sys from dataclasses import dataclass from typing import Callable, Iterable, Tuple, Union from .types import Numeric from .types import PointType from .types import PointOrIterable from .types import PointOrIterableOrScalar from .constants import EPSILON_EXP_MINUS_1, Quadrant from .exceptions import ColinearPoints @dataclass class Point: x: float = 0 y: float = 0 """A two dimensional geometric point. The Point class represents a geometric point with 'x' and 'y' attributes and has many helpful properties and methods. >>> p = Point() >>> p.is_origin True """ @classmethod def from_polar( cls, radius: float, theta: float, is_radians: bool = True, translate: PointType = None, ) -> PointType: """Returns a Point with polar coordinates (R, ϴ). The point is genrated relative to the origin. :param float radius: :param float theta: :param bool is_radians: :return: Point """ theta = theta if is_radians else math.radians(theta) point = cls() point.polar = (radius, theta) if translate: point += translate return point @property def is_origin(self) -> bool: """True if and only if x == 0 and y == 0.""" return self.x == 0 and self.y == 0 @property def quadrant(self) -> Quadrant: """The quadrant in the cartesian plane this point is located in. Possible values are: - Quadrant.I - Quadrant.II - Quadrant.III - Quadrant.IV - Quadrant.ORIGIN. """ if self.x > 0: if self.y > 0: return Quadrant.I if self.y < 0: return Quadrant.IV if self.x < 0: if self.y > 0: return Quadrant.II if self.y < 0: return Quadrant.III return Quadrant.ORIGIN def _polar_to_cartesian(self, radius: float, radians: float) -> None: """Computes cartesian coordinates from polar coordinates. The polar coordinates are expected to be a dimensionless radius and angle in radians. :param float radius: :param float radians: """ self.x = round(radius * math.cos(radians), EPSILON_EXP_MINUS_1) self.y = round(radius * math.sin(radians), EPSILON_EXP_MINUS_1) @property def radius(self) -> float: """The distance from this point to the origin.""" return math.hypot(self.x, self.y) @radius.setter def radius(self, new_value: float) -> None: self._polar_to_cartesian(new_value, self.radians) @property def radians(self) -> float: """The angle in radians measured counter-clockwise from 3 o'clock.""" return math.atan2(self.y, self.x) @radians.setter def radians(self, new_value: float) -> None: self._polar_to_cartesian(self.radius, new_value) @property def degrees(self) -> float: """The angle in degrees measured counter-clockwise from 3 o'clock.""" return math.degrees(self.radians) @degrees.setter def degrees(self, new_value: float) -> None: self._polar_to_cartesian(self.radius, math.radians(new_value)) @property def polar(self) -> Tuple[float, float]: """Polar coordinates tuple: (R, ϴ). R is the distance from the origin to this point. ϴ is the angle (radians) measured counter-clockwise from 3 o'clock. """ return (self.radius, self.radians) @polar.setter def polar(self, new_values: Iterable[Numeric]) -> None: try: radius, radians, *_ = map(float, new_values) self._polar_to_cartesian(radius, radians) return except (TypeError, ValueError): pass raise TypeError( f"Expected a Iterable[Union[int, float]], got {type(new_values)}" ) @property def polar_deg(self) -> Tuple[float, float]: """Polar coordinates tuple: (R, ϴ). R is the distance from the origin to this point. ϴ is the angle (degrees) measured counter-clockwise from 3 o'clock. """ radius, radians = self.polar return (radius, math.degrees(radians)) @polar_deg.setter def polar_deg(self, new_values: Tuple[Numeric, Numeric]) -> None: try: radius, degrees, *_ = map(float, new_values) self._polar_to_cartesian(radius=radius, radians=math.radians(degrees)) return except (TypeError, ValueError): pass raise TypeError( f"Expected a Iterable[Union[int, float]], got {type(new_values)}" ) @property def xy(self) -> Tuple[float, float]: """A tuple of this point's x and y coordinates.""" return (self.x, self.y) @xy.setter def xy(self, new_values: Iterable[Numeric]) -> None: try: self.x, self.y, *_ = map(float, new_values) return except (TypeError, ValueError): pass raise TypeError( f"Expected a Iterable[Union[int, float]], got {type(new_values)}" ) def __iter__(self) -> Iterable[Tuple[float, float]]: """An iterator over x and y coordinates.""" return iter([self.x, self.y]) def __len__(self) -> int: return 2 def __eq__(self, other: PointOrIterable) -> bool: try: return self.x == other.x and self.y == other.y except AttributeError: pass return all(a == b for a, b in zip(self, other)) def __getitem__(self, key: Union[int, slice]) -> float: if isinstance(key, int): if key == 0: return self.x if key == 1: return self.y raise IndexError("Key out of range: {key}") if isinstance(key, slice): return [self.x, self.y][key][0] raise TypeError(f"Expected int or slice key, not {type(key)}") def __setitem__(self, key: int, value: Numeric): if not isinstance(key, int): raise TypeError(f"Expected int key, not {type(key)}") if key == 0: self.x = value return if key == 1: self.y = value return raise IndexError(f"Key out of range: {key}") def __op(self, other: PointOrIterableOrScalar, op: Callable) -> PointType: """""" try: return Point(op(self.x, other.x), op(self.y, other.y)) except AttributeError: pass try: return Point(*[op(a, b) for a, b in zip(self, other)]) except TypeError: pass return Point(op(self.x, other), op(self.y, other)) def __iop(self, other: PointOrIterableOrScalar, op: Callable) -> PointType: """""" try: self.x = op(self.x, other.x) self.y = op(self.y, other.y) return self except AttributeError: pass try: self.x = op(self.x, other[0]) self.y = op(self.y, other[1]) return self except TypeError: pass self.x = op(self.x, other) self.y = op(self.y, other) return self def __add__(self, other: PointOrIterableOrScalar) -> PointType: """Add `other` to `self` and return a new Point.""" return self.__op(other, operator.add) def __iadd__(self, other: PointOrIterableOrScalar) -> PointType: """Add `other` to `self` in-place and returns `self`.""" return self.__iop(other, operator.add) def __sub__(self, other: PointOrIterableOrScalar) -> PointType: """Subtract `other` from `self` and return a new Point.""" return self.__op(other, operator.sub) def __isub__(self, other: PointOrIterableOrScalar) -> PointType: """Subtract `other` from `self` in-place and return `self`.""" return self.__iop(other, operator.sub) def __mul__(self, othe
(self, x: float = 0, y: float = 0) -> NoneType
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21,917
twod.point
__invert__
Inverts each coordinate and return a new Point.
def __invert__(self) -> PointType: """Inverts each coordinate and return a new Point.""" return Point(~self.x, ~self.y)
(self) -> ~PointType
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0.035556260496377945, 0.059094998985528946, 0.042433541268110275 ]
21,918
twod.point
__ipow__
Raise each coordinate by `exponent` in-place and return self.
def __ipow__(self, exponent: float) -> PointType: """Raise each coordinate by `exponent` in-place and return self.""" self.x **= exponent self.y **= exponent return self
(self, exponent: float) -> ~PointType
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21,919
twod.point
__isub__
Subtract `other` from `self` in-place and return `self`.
def __isub__(self, other: PointOrIterableOrScalar) -> PointType: """Subtract `other` from `self` in-place and return `self`.""" return self.__iop(other, operator.sub)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,920
twod.point
__iter__
An iterator over x and y coordinates.
def __iter__(self) -> Iterable[Tuple[float, float]]: """An iterator over x and y coordinates.""" return iter([self.x, self.y])
(self) -> Iterable[Tuple[float, float]]
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21,921
twod.point
__itruediv__
Divide `self` by `other` in-place and return `self`.
def __itruediv__(self, other: PointOrIterableOrScalar) -> PointType: """Divide `self` by `other` in-place and return `self`.""" return self.__iop(other, operator.truediv)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,922
twod.point
__len__
null
def __len__(self) -> int: return 2
(self) -> int
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21,923
twod.point
__mul__
Multiply `self` with `other` and return a new Point.
def __mul__(self, other: PointOrIterableOrScalar) -> PointType: """Multiply `self` with `other` and return a new Point.""" return self.__op(other, operator.mul)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,924
twod.point
__neg__
Negate each coordinate and return a new Point.
def __neg__(self) -> PointType: """Negate each coordinate and return a new Point.""" return self * -1
(self) -> ~PointType
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21,925
twod.point
__pow__
Raise each coordinate by `exponent` and return a new Point.
def __pow__(self, exponent: float) -> PointType: """Raise each coordinate by `exponent` and return a new Point.""" return Point(self.x ** exponent, self.y ** exponent)
(self, exponent: float) -> ~PointType
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21,926
twod.point
__repr__
null
def __op(self, other: PointOrIterableOrScalar, op: Callable) -> PointType: """""" try: return Point(op(self.x, other.x), op(self.y, other.y)) except AttributeError: pass try: return Point(*[op(a, b) for a, b in zip(self, other)]) except TypeError: pass return Point(op(self.x, other), op(self.y, other))
(self)
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21,927
twod.point
__setitem__
null
def __setitem__(self, key: int, value: Numeric): if not isinstance(key, int): raise TypeError(f"Expected int key, not {type(key)}") if key == 0: self.x = value return if key == 1: self.y = value return raise IndexError(f"Key out of range: {key}")
(self, key: int, value: Union[float, int])
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21,928
twod.point
__sub__
Subtract `other` from `self` and return a new Point.
def __sub__(self, other: PointOrIterableOrScalar) -> PointType: """Subtract `other` from `self` and return a new Point.""" return self.__op(other, operator.sub)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,929
twod.point
__truediv__
Divide `self` by `other` and return a new Point.
def __truediv__(self, other: PointOrIterableOrScalar) -> PointType: """Divide `self` by `other` and return a new Point.""" return self.__op(other, operator.truediv)
(self, other: Union[~PointType, Iterable[Union[float, int]], float, int]) -> ~PointType
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21,930
twod.point
_polar_to_cartesian
Computes cartesian coordinates from polar coordinates. The polar coordinates are expected to be a dimensionless radius and angle in radians. :param float radius: :param float radians:
def _polar_to_cartesian(self, radius: float, radians: float) -> None: """Computes cartesian coordinates from polar coordinates. The polar coordinates are expected to be a dimensionless radius and angle in radians. :param float radius: :param float radians: """ self.x = round(radius * math.cos(radians), EPSILON_EXP_MINUS_1) self.y = round(radius * math.sin(radians), EPSILON_EXP_MINUS_1)
(self, radius: float, radians: float) -> NoneType
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0.031272321939468384, 0.025400152429938316, 0.03688618540763855, 0.002694999100640416 ]
21,931
twod.point
between
True if self is bounded by the points [p, q], else False The bounds are checked by less than or equal to (<=) so self is considered between if it resides on any of the lines constructed using [p,q]. :param p: Point :param q: Point :return: bool
def between(self, p: PointType, q: PointType) -> bool: """True if self is bounded by the points [p, q], else False The bounds are checked by less than or equal to (<=) so self is considered between if it resides on any of the lines constructed using [p,q]. :param p: Point :param q: Point :return: bool """ i = min(p.x, q.x) <= self.x <= max(p.x, q.x) j = min(p.y, q.y) <= self.y <= max(p.y, q.y) return i and j
(self, p: ~PointType, q: ~PointType) -> bool
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21,932
twod.point
ccw
Return a floating point value indicating the winding direction of the points [self, b, c]. If ccw < 0, clock-wise winding If ccw > 0, counter clock-wise winding If ccw == 0, the three points are colinear Note: ccw is also 2*area of the triangle [self, b, c]. :param b: Point :param c: Point :return: float
def ccw(self, b: PointOrIterable, c: PointOrIterable) -> float: """Return a floating point value indicating the winding direction of the points [self, b, c]. If ccw < 0, clock-wise winding If ccw > 0, counter clock-wise winding If ccw == 0, the three points are colinear Note: ccw is also 2*area of the triangle [self, b, c]. :param b: Point :param c: Point :return: float """ try: return ((b.x - self.x) * (c.y - self.y)) - ((c.x - self.x) * (b.y - self.y)) except AttributeError: pass return ((b[0] - self.x) * (c[1] - self.y)) - ((c[0] - self.x) * (b[1] - self.y))
(self, b: Union[~PointType, Iterable[Union[float, int]]], c: Union[~PointType, Iterable[Union[float, int]]]) -> float
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21,933
twod.point
cross
Return a scalar cross product of self with other. :param other: PointOrIterableOrScalar :return: float
def cross(self, other: PointOrIterable) -> float: """Return a scalar cross product of self with other. :param other: PointOrIterableOrScalar :return: float """ try: return (self.x * other.y) + (self.y * other.x) except AttributeError: pass return (self.x * other[1]) + (self.y * other[0])
(self, other: Union[~PointType, Iterable[Union[float, int]]]) -> float
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21,934
twod.point
distance
Return the floating point distance between `self` and `other`. If other is not given, the distance from self to the origin is returned. :param other: PointType :return: float
def distance(self, other: PointOrIterable = None) -> float: """Return the floating point distance between `self` and `other`. If other is not given, the distance from self to the origin is returned. :param other: PointType :return: float """ return (self.distance_squared(other or Point())) ** 0.5
(self, other: Union[~PointType, Iterable[Union[float, int]], NoneType] = None) -> float
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21,935
twod.point
distance_squared
Return the floating point squared distance between self and other. If other is not given, the squared distance from self to the origin is returned. :param other: PointType :return: float
def distance_squared(self, other: PointOrIterable = None) -> float: """Return the floating point squared distance between self and other. If other is not given, the squared distance from self to the origin is returned. :param other: PointType :return: float """ return sum((((other or Point()) - self) ** 2))
(self, other: Union[~PointType, Iterable[Union[float, int]], NoneType] = None) -> float
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21,936
twod.point
dot
Return a scalar dot product of self with other. :param other: PointOrIterableOrScalar :return: float
def dot(self, other: PointOrIterable) -> float: """Return a scalar dot product of self with other. :param other: PointOrIterableOrScalar :return: float """ return sum(self * other)
(self, other: Union[~PointType, Iterable[Union[float, int]]]) -> float
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21,937
twod.point
inside
True if self is bounded by the points (p, q), else False The bounds are checked by less than (<) so self is considered inside if it does not reside on any of the lines constructed using (p,q). :param p: Point :param q: Point :return: bool
def inside(self, p: PointType, q: PointType) -> bool: """True if self is bounded by the points (p, q), else False The bounds are checked by less than (<) so self is considered inside if it does not reside on any of the lines constructed using (p,q). :param p: Point :param q: Point :return: bool """ # XXX re-implement with ccw and a list of points instead of a pair i = min(p.x, q.x) < self.x < max(p.x, q.x) j = min(p.y, q.y) < self.y < max(p.y, q.y) return i and j
(self, p: ~PointType, q: ~PointType) -> bool
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21,938
twod.point
is_ccw
Return True if the angle [self, b, c] has counter clock-wise winding, else False. Raises the exception `ColinearPoints` if the points compose a line. :param b: Point :param c: Point :return: bool
def is_ccw(self, b: PointOrIterable, c: PointOrIterable) -> bool: """Return True if the angle [self, b, c] has counter clock-wise winding, else False. Raises the exception `ColinearPoints` if the points compose a line. :param b: Point :param c: Point :return: bool """ result = self.ccw(b, c) if result == 0: raise ColinearPoints(self, b, c) return result > 0
(self, b: Union[~PointType, Iterable[Union[float, int]]], c: Union[~PointType, Iterable[Union[float, int]]]) -> bool
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21,939
twod.point
is_colinear
True if the angle [self, b, c ] is a line, else False. :param b: Point :param c: Point :return: bool
def is_colinear(self, b: PointType, c: PointType) -> bool: """True if the angle [self, b, c ] is a line, else False. :param b: Point :param c: Point :return: bool """ return self.ccw(b, c) == 0
(self, b: ~PointType, c: ~PointType) -> bool
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21,940
twod.point
midpoint
Return a new Point midway between `self` and `other`. If other is not given, the midpoint between self and the origin is returned. :param other: Point :return: Point
def midpoint(self, other: PointType = None) -> PointType: """Return a new Point midway between `self` and `other`. If other is not given, the midpoint between self and the origin is returned. :param other: Point :return: Point """ return (self + (other or Point())) / 2
(self, other: Optional[~PointType] = None) -> ~PointType
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21,941
twod.constants
Quadrant
An enumeration.
class Quadrant(IntEnum): ORIGIN: int = -1 I: int = 0 II: int = 1 III: int = 2 IV: int = 3
(value, names=None, *, module=None, qualname=None, type=None, start=1)
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Rect
A rectangle specified by an origin at (x,y) and dimensions (w,h).
class Rect(Point): """A rectangle specified by an origin at (x,y) and dimensions (w,h). """ w: int = 0 h: int = 0 @property def A(self) -> Point: """Point at (x,y).""" return Point(self.x, self.y) @property def B(self) -> Point: """Point at (x+w, y).""" return Point(self.x + self.w, self.y) @property def C(self) -> Point: """Point at (x+w, y+h).""" return Point(self.x + self.w, self.y + self.h) @property def D(self) -> Point: """Point at (x, y+h).""" return Point(self.x, self.y + self.h) @property def vertices(self) -> List[Point]: """The points A, B, C, and D in a list. """ return [self.A, self.B, self.C, self.D] @property def sides(self) -> List[float]: """The lengths of each side: AB, BC, CD, and DA. """ return [ max(abs(self.A - self.B)), max(abs(self.B - self.C)), max(abs(self.C - self.D)), max(abs(self.D - self.A)), ] @property def center(self) -> Point: """Point at the center of the rectangle (midpoint of AC). """ return self.A.midpoint(self.C) @center.setter def center(self, new_center): self.x, self.y = Point(*new_center) - (Point(self.w, self.h) / 2) @property def perimeter(self) -> float: """The distance around this rectangle. """ return sum(self.sides) @property def area(self) -> float: """The area of this rectangle. """ return self.w * self.h def __contains__(self, other) -> bool: """If other is a twod.Point, returns True if the point is inside this rectangle. If other is a twod.Rect, returns True if any of other's vertices are inside or any of the target rectangle's verices are inside other. Otherwise returns False. Raises TypeError if other is not a Point or Rect. """ if not isinstance(other, Rect): try: return other.between(self.A, self.C) except AttributeError: pass raise TypeError(f"expected Point or Rect, received {type(other)}") for v in other.vertices: if v.between(self.A, self.C): return True for v in self.vertices: if v.between(other.A, other.C): return True return False def __add__(self, other): """ :param Point|Rect other: :return: Rect """ x = self.x + other.x y = self.y + other.y try: w = self.w + other.w h = self.h + other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) def __iadd__(self, other): """ :param Point|Rect other: :return: Rect """ self.x += other.x self.y += other.y try: self.w += other.w self.h += other.h except AttributeError: pass return self def __sub__(self, other): """ :param Point|Rect other: :return: Rect """ x = self.x - other.x y = self.y - other.y try: w = self.w - other.w h = self.h - other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) def __isub__(self, other): """ :param Point|Rect other: :return: Rect """ self.x -= other.x self.y -= other.y try: self.w -= other.w self.h -= other.h except AttributeError: pass return self def __mul__(self, other): """ :param Point|Rect other: :return: Rect """ x = self.x * other.x y = self.y * other.y try: w = self.w * other.w h = self.h * other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) def __imul__(self, other): """ :param Point|Rect other: :return: Rect """ self.x *= other.x self.y *= other.y try: self.w *= other.w self.h *= other.h except AttributeError: pass return self def __truediv__(self, other): """ :param Point|Rect other: :return: Rect """ try: x = self.x / other.x y = self.y / other.y try: w = self.w / other.w h = self.h / other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) except ZeroDivisionError: pass raise ZeroDivisionError(other) def __itruediv__(self, other): """ :param Point|Rect other: :return: Rect """ try: self.x /= other.x self.y /= other.y try: self.w /= other.w self.h /= other.h except AttributeError: pass return self except ZeroDivisionError: pass raise ZeroDivisionError(other) def __floordiv__(self, other): """ :param Point|Rect other: :return: Rect """ try: x = self.x // other.x y = self.y // other.y try: w = self.w // other.w h = self.h // other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) except ZeroDivisionError: pass raise ZeroDivisionError(other) def __ifloordiv__(self, other): """ :param Point|Rect other: :return: Rect """ try: self.x //= other.x self.y //= other.y try: self.w //= other.w self.h //= other.h except AttributeError: pass return self except ZeroDivisionError: pass raise ZeroDivisionError(other)
(x: float = 0, y: float = 0, w: int = 0, h: int = 0) -> None
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21,946
twod.rect
__add__
:param Point|Rect other: :return: Rect
def __add__(self, other): """ :param Point|Rect other: :return: Rect """ x = self.x + other.x y = self.y + other.y try: w = self.w + other.w h = self.h + other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h)
(self, other)
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21,947
twod.rect
__contains__
If other is a twod.Point, returns True if the point is inside this rectangle. If other is a twod.Rect, returns True if any of other's vertices are inside or any of the target rectangle's verices are inside other. Otherwise returns False. Raises TypeError if other is not a Point or Rect.
def __contains__(self, other) -> bool: """If other is a twod.Point, returns True if the point is inside this rectangle. If other is a twod.Rect, returns True if any of other's vertices are inside or any of the target rectangle's verices are inside other. Otherwise returns False. Raises TypeError if other is not a Point or Rect. """ if not isinstance(other, Rect): try: return other.between(self.A, self.C) except AttributeError: pass raise TypeError(f"expected Point or Rect, received {type(other)}") for v in other.vertices: if v.between(self.A, self.C): return True for v in self.vertices: if v.between(other.A, other.C): return True return False
(self, other) -> bool
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21,948
twod.rect
__eq__
null
"""a rectangle for humans™ """ from dataclasses import astuple, dataclass from .point import Point from typing import Any from typing import Dict from typing import List @dataclass class Rect(Point): """A rectangle specified by an origin at (x,y) and dimensions (w,h). """ w: int = 0 h: int = 0 @property def A(self) -> Point: """Point at (x,y).""" return Point(self.x, self.y) @property def B(self) -> Point: """Point at (x+w, y).""" return Point(self.x + self.w, self.y) @property def C(self) -> Point: """Point at (x+w, y+h).""" return Point(self.x + self.w, self.y + self.h) @property def D(self) -> Point: """Point at (x, y+h).""" return Point(self.x, self.y + self.h) @property def vertices(self) -> List[Point]: """The points A, B, C, and D in a list. """ return [self.A, self.B, self.C, self.D] @property def sides(self) -> List[float]: """The lengths of each side: AB, BC, CD, and DA. """ return [ max(abs(self.A - self.B)), max(abs(self.B - self.C)), max(abs(self.C - self.D)), max(abs(self.D - self.A)), ] @property def center(self) -> Point: """Point at the center of the rectangle (midpoint of AC). """ return self.A.midpoint(self.C) @center.setter def center(self, new_center): self.x, self.y = Point(*new_center) - (Point(self.w, self.h) / 2) @property def perimeter(self) -> float: """The distance around this rectangle. """ return sum(self.sides) @property def area(self) -> float: """The area of this rectangle. """ return self.w * self.h def __contains__(self, other) -> bool: """If other is a twod.Point, returns True if the point is inside this rectangle. If other is a twod.Rect, returns True if any of other's vertices are inside or any of the target rectangle's verices are inside other. Otherwise returns False. Raises TypeError if other is not a Point or Rect. """ if not isinstance(other, Rect): try: return other.between(self.A, self.C) except AttributeError: pass raise TypeError(f"expected Point or Rect, received {type(other)}") for v in other.vertices: if v.between(self.A, self.C): return True for v in self.vertices: if v.between(other.A, other.C): return True return False def __add__(self, other): """ :param Point|Rect other: :return: Rect """ x = self.x + other.x y = self.y + other.y try: w = self.w + other.w h = self.h + other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) def __iadd__(self, other): """ :param Point|Rect other: :return: Rect """ self.x += other.x self.y += other.y try: self.w += other.w self.h += other.h except AttributeError: pass return self def __sub__(self, other): """ :param Point|Rect other: :return: Rect """ x = self.x - other.x y = self.y - other.y try: w = self.w - other.w h = self.h - other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) def __isub__(self, other): """ :param Point|Rect other: :return: Rect """ self.x -= other.x self.y -= other.y try: self.w -= other.w self.h -= other.h except AttributeError: pass return self def __mul__(self, other): """ :param Point|Rect other: :return: Rect """ x = self.x * other.x y = self.y * other.y try: w = self.w * other.w h = self.h * other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) def __imul__(self, other): """ :param Point|Rect other: :return: Rect """ self.x *= other.x self.y *= other.y try: self.w *= other.w self.h *= other.h except AttributeError: pass return self def __truediv__(self, other): """ :param Point|Rect other: :return: Rect """ try: x = self.x / other.x y = self.y / other.y try: w = self.w / other.w h = self.h / other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) except ZeroDivisionError: pass raise ZeroDivisionError(other) def __itruediv__(self, other): """ :param Point|Rect other: :return: Rect """ try: self.x /= other.x self.y /= other.y try: self.w /= other.w self.h /= other.h except AttributeError: pass return self except ZeroDivisionError: pass raise ZeroDivisionError(other) def __floordiv__(self, other): """ :param Point|Rect other: :return: Rect """ try: x = self.x // other.x y = self.y // other.y try: w = self.w // other.w h = self.h // other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) except ZeroDivisionError: pass raise ZeroDivisionError(other) def __ifloordiv__(self, other): """ :param Point|Rect other: :return: Rect """ try: self.x //= other.x self.y //= other.y try: self.w //= other.w self.h //= other.h except AttributeError: pass return self except ZeroDivisionError: pass raise ZeroDivisionError(other)
(self, other)
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0.06292156130075455, -0.004813068080693483, 0.08427874743938446 ]
21,949
twod.rect
__floordiv__
:param Point|Rect other: :return: Rect
def __floordiv__(self, other): """ :param Point|Rect other: :return: Rect """ try: x = self.x // other.x y = self.y // other.y try: w = self.w // other.w h = self.h // other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) except ZeroDivisionError: pass raise ZeroDivisionError(other)
(self, other)
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21,951
twod.rect
__iadd__
:param Point|Rect other: :return: Rect
def __iadd__(self, other): """ :param Point|Rect other: :return: Rect """ self.x += other.x self.y += other.y try: self.w += other.w self.h += other.h except AttributeError: pass return self
(self, other)
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21,952
twod.rect
__ifloordiv__
:param Point|Rect other: :return: Rect
def __ifloordiv__(self, other): """ :param Point|Rect other: :return: Rect """ try: self.x //= other.x self.y //= other.y try: self.w //= other.w self.h //= other.h except AttributeError: pass return self except ZeroDivisionError: pass raise ZeroDivisionError(other)
(self, other)
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21,953
twod.rect
__imul__
:param Point|Rect other: :return: Rect
def __imul__(self, other): """ :param Point|Rect other: :return: Rect """ self.x *= other.x self.y *= other.y try: self.w *= other.w self.h *= other.h except AttributeError: pass return self
(self, other)
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21,957
twod.rect
__isub__
:param Point|Rect other: :return: Rect
def __isub__(self, other): """ :param Point|Rect other: :return: Rect """ self.x -= other.x self.y -= other.y try: self.w -= other.w self.h -= other.h except AttributeError: pass return self
(self, other)
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21,959
twod.rect
__itruediv__
:param Point|Rect other: :return: Rect
def __itruediv__(self, other): """ :param Point|Rect other: :return: Rect """ try: self.x /= other.x self.y /= other.y try: self.w /= other.w self.h /= other.h except AttributeError: pass return self except ZeroDivisionError: pass raise ZeroDivisionError(other)
(self, other)
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21,961
twod.rect
__mul__
:param Point|Rect other: :return: Rect
def __mul__(self, other): """ :param Point|Rect other: :return: Rect """ x = self.x * other.x y = self.y * other.y try: w = self.w * other.w h = self.h * other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h)
(self, other)
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21,964
twod.rect
__repr__
null
def __itruediv__(self, other): """ :param Point|Rect other: :return: Rect """ try: self.x /= other.x self.y /= other.y try: self.w /= other.w self.h /= other.h except AttributeError: pass return self except ZeroDivisionError: pass raise ZeroDivisionError(other)
(self)
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21,966
twod.rect
__sub__
:param Point|Rect other: :return: Rect
def __sub__(self, other): """ :param Point|Rect other: :return: Rect """ x = self.x - other.x y = self.y - other.y try: w = self.w - other.w h = self.h - other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h)
(self, other)
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21,967
twod.rect
__truediv__
:param Point|Rect other: :return: Rect
def __truediv__(self, other): """ :param Point|Rect other: :return: Rect """ try: x = self.x / other.x y = self.y / other.y try: w = self.w / other.w h = self.h / other.h except AttributeError: w = self.w h = self.h return Rect(x, y, w, h) except ZeroDivisionError: pass raise ZeroDivisionError(other)
(self, other)
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21,984
env2cli
Argument
null
class Argument: def __init__( self, env : str, arg_key : str =None, func : Callable[[str, str], List[str]] = None, required : bool = False ): self.env = env self.arg_key = arg_key self.func = func self.required = required
(env: str, arg_key: str = None, func: Callable[[str, str], List[str]] = None, required: bool = False)
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21,985
env2cli
__init__
null
def __init__( self, env : str, arg_key : str =None, func : Callable[[str, str], List[str]] = None, required : bool = False ): self.env = env self.arg_key = arg_key self.func = func self.required = required
(self, env: str, arg_key: Optional[str] = None, func: Optional[Callable[[str, str], List[str]]] = None, required: bool = False)
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21,986
env2cli
RequiredArgumentNotExistsError
null
class RequiredArgumentNotExistsError(Exception): def __init__(self, env): self.env = env def __str__(self): return 'Required argument is empty or does not exists'
(env)
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21,987
env2cli
__init__
null
def __init__(self, env): self.env = env
(self, env)
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21,988
env2cli
__str__
null
def __str__(self): return 'Required argument is empty or does not exists'
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21,989
env2cli
apply_arg
null
def apply_arg(argv : List[str], argument : Argument): val = getenv(argument.env) if val: func = argument.func if argument.func else default_func argv += func(argument.arg_key, val) elif argument.required: raise RequiredArgumentNotExistsError(argument.env)
(argv: List[str], argument: env2cli.Argument)
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21,990
env2cli
bulk_apply
null
def bulk_apply(arguments : List[Argument], argv : List[str] = []): for arg in arguments: apply_arg(argv, arg) return argv
(arguments: List[env2cli.Argument], argv: List[str] = [])
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21,991
env2cli
<lambda>
null
default_func = lambda key, val: [key, val]
(key, val)
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21,992
env2cli
flag_argument_func
For flags argument example: Dockerfile: ENV MY_FLAG TRUE converted into " ... --my-flag"
def flag_argument_func(key, val : str): """ For flags argument example: Dockerfile: ENV MY_FLAG TRUE converted into " ... --my-flag" """ if val.lower() == 'true': return [key] return []
(key, val: str)
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21,993
os
getenv
Get an environment variable, return None if it doesn't exist. The optional second argument can specify an alternate default. key, default and the result are str.
def getenv(key, default=None): """Get an environment variable, return None if it doesn't exist. The optional second argument can specify an alternate default. key, default and the result are str.""" return environ.get(key, default)
(key, default=None)
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21,994
env2cli
<lambda>
null
positional_argument_func = lambda _, val: [val]
(_, val)
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21,996
dse_data_loader.dse_data_loader
FundamentalData
null
class FundamentalData(object): DSE_COMPANY_URL = "http://dsebd.org/displayCompany.php?name=" CURRENT_PRICE_URL = 'https://www.dsebd.org/dseX_share.php' @staticmethod def parse_float(str_val): new_val = str_val.replace( ',', '' ).replace('--', '0') return float(new_val) @staticmethod def parse_int(str_val): new_val = str_val.replace( ',', '' ).replace('--', '0') return int(new_val) @staticmethod def append_company(company_info, fin_interim_info, df_company, symbol): company_dict = { 'symbol': symbol, 'auth_capital': company_info['basic'][0][0], 'trade_start': company_info['basic'][0][1], 'paid_up_capital': company_info['basic'][1][0], 'instrument_type': company_info['basic'][1][1], 'face_value': company_info['basic'][2][0], 'market_lot': company_info['basic'][2][1], 'ltp': company_info['ltp'], 'last_agm_date': company_info['last_agm_date'], 'market_cap': company_info['market_cap'], 'outstanding_share': company_info['basic'][3][0], 'sector': company_info['basic'][3][1], 'right_issue': company_info['dividend'][2][0], 'year_end': company_info['dividend'][3][0], 'reserve_w_oci': company_info['dividend'][4][0], 'others_oci': company_info['dividend'][5][0], # 'present_st_loan', # 'present_lt_loan', 'cash_dividend_p': company_info['dividend'][0][0].split(',')[0].split('%')[0] \ if len(company_info['dividend'][0][0]) > 6 else '-', 'cash_dividend_year': company_info['dividend'][0][0].split(',')[0].split('%')[1] \ if len(company_info['dividend'][0][0]) > 6 else '-', # 'stock_dividend_p': company_info['dividend'][1][0].split(',')[0].split('%')[0] \ # if len(company_info['dividend'][1][0]) > 6 else '-', # 'stock_dividend_year': company_info['dividend'][1][0].split(',')[0].split('%')[1] \ # if len(company_info['dividend'][1][0]) > 6 else '-', 'listing_year': company_info['other'][0][1], 'market_category': company_info['other'][1][1], 'sh_director': company_info['other'][3][1].split(' ')[0].split(':')[1], 'sh_govt': company_info['other'][3][1].split(' ')[1].split(':')[1], 'sh_inst': company_info['other'][3][1].split(' ')[2].split(':')[1], 'sh_foreign': company_info['other'][3][1].split(' ')[3].split(':')[1], 'sh_public': company_info['other'][3][1].split(' ')[4].split(':')[1], 'turnover_q1': fin_interim_info['main'][4][1], 'turnover_q2': fin_interim_info['main'][4][2], 'turnover_q3': fin_interim_info['main'][4][4], 'profit_cop_q1': fin_interim_info['main'][5][1], 'profit_cop_q2': fin_interim_info['main'][5][2], 'profit_cop_q3': fin_interim_info['main'][5][4], 'profit_period_q1': fin_interim_info['main'][6][1], 'profit_period_q2': fin_interim_info['main'][6][2], 'profit_period_q3': fin_interim_info['main'][6][4], 'tci_period_q1': fin_interim_info['main'][7][1], 'tci_period_q2': fin_interim_info['main'][7][2], 'tci_period_q3': fin_interim_info['main'][7][4], 'eps_basic_q1': fin_interim_info['main'][9][1], 'eps_basic_q2': fin_interim_info['main'][9][2], 'eps_basic_q3': fin_interim_info['main'][9][4], 'eps_diluted_q1': fin_interim_info['main'][10][1], 'eps_diluted_q2': fin_interim_info['main'][10][2], 'eps_diluted_q3': fin_interim_info['main'][10][4], 'eps_cop_basic_q1': fin_interim_info['main'][12][1], 'eps_cop_basic_q2': fin_interim_info['main'][12][2], 'eps_cop_basic_q3': fin_interim_info['main'][12][4], 'eps_cop_diluted_q1': fin_interim_info['main'][13][1], 'eps_cop_diluted_q2': fin_interim_info['main'][13][2], 'eps_cop_diluted_q3': fin_interim_info['main'][13][4], 'price_period_q1': fin_interim_info['main'][14][1], 'price_period_q2': fin_interim_info['main'][14][2], 'price_period_q3': fin_interim_info['main'][14][4], } try: df_company = df_company.append(company_dict, ignore_index=True) except Exception as e: print(str(e)) return df_company @staticmethod def append_fin_perf(fin_perf_info, df_fin_perf, symbol): for eps, pe in zip(fin_perf_info['eps'][3:], fin_perf_info['pe'][4:]): i = 0 if len(eps) > 13: i = 1 eps_dict = { 'symbol': symbol, 'year': " ".join(eps[0:i + 1]) if i else eps[0], 'eps_original': eps[i + 1], 'eps_restated': eps[i + 2], 'eps_diluted': eps[i + 3], 'eps_cop_original': eps[i + 4], 'eps_cop_restated': eps[i + 5], 'eps_cop_diluted': eps[i + 6], 'nav_original': eps[i + 7], 'nav_restated': eps[i + 8], 'nav_diluted': eps[i + 9], 'pco': eps[i + 10], 'profit': eps[i + 11], 'tci': eps[i + 12], 'pe_original': pe[i + 1], 'pe_restated': pe[i + 2], 'pe_diluted': pe[i + 3], 'pe_cop_original': pe[i + 4], 'pe_cop_restated': pe[i + 5], 'pe_cop_diluted': pe[i + 6], 'dividend_p': pe[i + 7], 'dividend_yield_p': pe[i + 8] } # print(eps_dict['year']) try: df_fin_perf = df_fin_perf.append(eps_dict, ignore_index=True) except Exception as e: print(str(e)) return df_fin_perf @staticmethod def parse_company_data_rows(soup, symbol): company_info = {} fin_perf_info = {} fin_interim_info = {} agm_info = soup.find( "div", attrs={ "class": "col-sm-6 pull-left" } ) # print(agm_info.text) date_txt = " ".join(agm_info.text.split('on:')[1].strip().split()) last_agm_date = parser.parse(date_txt).date() company_tables = soup.find_all( "table", attrs={ "class": "table table-bordered background-white", } ) count = 1 for table in company_tables: # print(">>>>>>>>>Contents in table no: ", count) table_rows = table.find_all("tr") # print(table_rows) # if count not in (1, ): cur_list = [] for row in table_rows: row_data = [" ".join(td.get_text().split()) for td in row.find_all("td")] cur_list.append(row_data) # print(cur_list) if count == 1: company_info.update({ 'ltp': cur_list[0][1], 'market_cap': cur_list[6][1], 'last_agm_date': last_agm_date }) if count == 2: company_info.update({ 'basic': cur_list }) elif count == 3: company_info.update({ 'dividend': cur_list }) elif count == 10: company_info.update({ 'other': cur_list }) elif count == 4: fin_interim_info.update({ 'main': cur_list }) elif count == 5: fin_interim_info.update({ 'pe_audited': cur_list }) elif count == 6: fin_interim_info.update({ 'pe_unaudited': cur_list }) elif count == 7: fin_p
()
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21,997
dse_data_loader.dse_data_loader
append_company
null
@staticmethod def append_company(company_info, fin_interim_info, df_company, symbol): company_dict = { 'symbol': symbol, 'auth_capital': company_info['basic'][0][0], 'trade_start': company_info['basic'][0][1], 'paid_up_capital': company_info['basic'][1][0], 'instrument_type': company_info['basic'][1][1], 'face_value': company_info['basic'][2][0], 'market_lot': company_info['basic'][2][1], 'ltp': company_info['ltp'], 'last_agm_date': company_info['last_agm_date'], 'market_cap': company_info['market_cap'], 'outstanding_share': company_info['basic'][3][0], 'sector': company_info['basic'][3][1], 'right_issue': company_info['dividend'][2][0], 'year_end': company_info['dividend'][3][0], 'reserve_w_oci': company_info['dividend'][4][0], 'others_oci': company_info['dividend'][5][0], # 'present_st_loan', # 'present_lt_loan', 'cash_dividend_p': company_info['dividend'][0][0].split(',')[0].split('%')[0] \ if len(company_info['dividend'][0][0]) > 6 else '-', 'cash_dividend_year': company_info['dividend'][0][0].split(',')[0].split('%')[1] \ if len(company_info['dividend'][0][0]) > 6 else '-', # 'stock_dividend_p': company_info['dividend'][1][0].split(',')[0].split('%')[0] \ # if len(company_info['dividend'][1][0]) > 6 else '-', # 'stock_dividend_year': company_info['dividend'][1][0].split(',')[0].split('%')[1] \ # if len(company_info['dividend'][1][0]) > 6 else '-', 'listing_year': company_info['other'][0][1], 'market_category': company_info['other'][1][1], 'sh_director': company_info['other'][3][1].split(' ')[0].split(':')[1], 'sh_govt': company_info['other'][3][1].split(' ')[1].split(':')[1], 'sh_inst': company_info['other'][3][1].split(' ')[2].split(':')[1], 'sh_foreign': company_info['other'][3][1].split(' ')[3].split(':')[1], 'sh_public': company_info['other'][3][1].split(' ')[4].split(':')[1], 'turnover_q1': fin_interim_info['main'][4][1], 'turnover_q2': fin_interim_info['main'][4][2], 'turnover_q3': fin_interim_info['main'][4][4], 'profit_cop_q1': fin_interim_info['main'][5][1], 'profit_cop_q2': fin_interim_info['main'][5][2], 'profit_cop_q3': fin_interim_info['main'][5][4], 'profit_period_q1': fin_interim_info['main'][6][1], 'profit_period_q2': fin_interim_info['main'][6][2], 'profit_period_q3': fin_interim_info['main'][6][4], 'tci_period_q1': fin_interim_info['main'][7][1], 'tci_period_q2': fin_interim_info['main'][7][2], 'tci_period_q3': fin_interim_info['main'][7][4], 'eps_basic_q1': fin_interim_info['main'][9][1], 'eps_basic_q2': fin_interim_info['main'][9][2], 'eps_basic_q3': fin_interim_info['main'][9][4], 'eps_diluted_q1': fin_interim_info['main'][10][1], 'eps_diluted_q2': fin_interim_info['main'][10][2], 'eps_diluted_q3': fin_interim_info['main'][10][4], 'eps_cop_basic_q1': fin_interim_info['main'][12][1], 'eps_cop_basic_q2': fin_interim_info['main'][12][2], 'eps_cop_basic_q3': fin_interim_info['main'][12][4], 'eps_cop_diluted_q1': fin_interim_info['main'][13][1], 'eps_cop_diluted_q2': fin_interim_info['main'][13][2], 'eps_cop_diluted_q3': fin_interim_info['main'][13][4], 'price_period_q1': fin_interim_info['main'][14][1], 'price_period_q2': fin_interim_info['main'][14][2], 'price_period_q3': fin_interim_info['main'][14][4], } try: df_company = df_company.append(company_dict, ignore_index=True) except Exception as e: print(str(e)) return df_company
(company_info, fin_interim_info, df_company, symbol)
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21,998
dse_data_loader.dse_data_loader
append_fin_perf
null
@staticmethod def append_fin_perf(fin_perf_info, df_fin_perf, symbol): for eps, pe in zip(fin_perf_info['eps'][3:], fin_perf_info['pe'][4:]): i = 0 if len(eps) > 13: i = 1 eps_dict = { 'symbol': symbol, 'year': " ".join(eps[0:i + 1]) if i else eps[0], 'eps_original': eps[i + 1], 'eps_restated': eps[i + 2], 'eps_diluted': eps[i + 3], 'eps_cop_original': eps[i + 4], 'eps_cop_restated': eps[i + 5], 'eps_cop_diluted': eps[i + 6], 'nav_original': eps[i + 7], 'nav_restated': eps[i + 8], 'nav_diluted': eps[i + 9], 'pco': eps[i + 10], 'profit': eps[i + 11], 'tci': eps[i + 12], 'pe_original': pe[i + 1], 'pe_restated': pe[i + 2], 'pe_diluted': pe[i + 3], 'pe_cop_original': pe[i + 4], 'pe_cop_restated': pe[i + 5], 'pe_cop_diluted': pe[i + 6], 'dividend_p': pe[i + 7], 'dividend_yield_p': pe[i + 8] } # print(eps_dict['year']) try: df_fin_perf = df_fin_perf.append(eps_dict, ignore_index=True) except Exception as e: print(str(e)) return df_fin_perf
(fin_perf_info, df_fin_perf, symbol)
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21,999
dse_data_loader.dse_data_loader
get_company_df
null
def get_company_df( self, symbols, df_company=pd.DataFrame(), df_fin_perf=pd.DataFrame() ): if type(symbols) is not list: raise TypeError("Either list or tuple is allowed for 'symbols' parameter!") for symbol in symbols: full_url = self.DSE_COMPANY_URL + symbol target_page = requests.get(full_url, verify=False) page_html = BeautifulSoup(target_page.text, 'html.parser') dict_company, dict_fin_perf = self.parse_company_data_rows( page_html, symbol ) print("Fetching data for: ", symbol) df_company = self.append_company( company_info=dict_company['company_info'], fin_interim_info=dict_company['fin_interim_info'], df_company=df_company, symbol=symbol ) df_fin_perf = self.append_fin_perf( fin_perf_info=dict_fin_perf['fin_perf_info'], df_fin_perf=df_fin_perf, symbol=symbol ) print("Fetch complete!") return df_company, df_fin_perf
(self, symbols, df_company=Empty DataFrame Columns: [] Index: [], df_fin_perf=Empty DataFrame Columns: [] Index: [])
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