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Python
QueryDenomMetadataResponse
def query_bank_denom_metadata(self, denom: str) -> QueryDenomMetadataResponse: res = self.bank_client.DenomMetadata(QueryDenomMetadataRequest(denom=denom)) return res
def query_bank_denom_metadata(self, denom: str) <MASK> res = self.bank_client.DenomMetadata(QueryDenomMetadataRequest(denom=denom)) return res
Python
QueryBalanceResponse
def query_account_balance(self, address: str) -> QueryBalanceResponse: res = self.bank_client.Balance( QueryBalanceRequest(address=address, denom=self.network.coin_base_denom) ) return res
def query_account_balance(self, address: str) <MASK> res = self.bank_client.Balance( QueryBalanceRequest(address=address, denom=self.network.coin_base_denom) ) return res
Python
int
def edit_distance(s1: str, s2: str) -> int: if len(s1) < len(s2): return edit_distance(s2, s1) if len(s2) == 0: return len(s1) previous_row = range(len(s2) + 1) for i, c1 in enumerate(s1): current_row = [i + 1] for j, c2 in enumerate(s2): insertions = previous...
def edit_distance(s1: str, s2: str) <MASK> if len(s1) < len(s2): return edit_distance(s2, s1) if len(s2) == 0: return len(s1) previous_row = range(len(s2) + 1) for i, c1 in enumerate(s1): current_row = [i + 1] for j, c2 in enumerate(s2): insertions = previous_...
Python
Dict[str, str]
def find_correct_spelling(model: FastText, incorrect_word: str, num_neighbours: int, clean_vocab_counter: Counter, mixed_vocab_counter: Counter, mixed_vocab_min_freq: int, max_edit_distance: int) -> Dict[str, str]: correct_word, message = '', '' mixed_vocab_se...
def find_correct_spelling(model: FastText, incorrect_word: str, num_neighbours: int, clean_vocab_counter: Counter, mixed_vocab_counter: Counter, mixed_vocab_min_freq: int, max_edit_distance: int) <MASK> correct_word, message = '', '' mixed_vocab_set = set() ...
Python
Unit
def default_unit(key: str) -> Unit: units = { 'temp': Unit(Unit.degree_symbol()+"C"), 'deg': Unit(Unit.degree_symbol()), 'speed': Unit('m/sec'), 'presssure': Unit('hPa'), 'humidity': Unit('%'), } return units[key] if key in units else None
def default_unit(key: str) <MASK> units = { 'temp': Unit(Unit.degree_symbol()+"C"), 'deg': Unit(Unit.degree_symbol()), 'speed': Unit('m/sec'), 'presssure': Unit('hPa'), 'humidity': Unit('%'), } return units[key] if key in units else None
Python
rx.Observable
def rx_fetch(self, zip: str) -> rx.Observable: url = "http://"+self.host+'/data/2.5/weather' def observable(observer, scheduler): params = {'zip': zip, 'appid': self.api_key} rsp = requests.get(url, params=params) try: rsp.raise_for_status() ...
def rx_fetch(self, zip: str) <MASK> url = "http://"+self.host+'/data/2.5/weather' def observable(observer, scheduler): params = {'zip': zip, 'appid': self.api_key} rsp = requests.get(url, params=params) try: rsp.raise_for_status() obser...
Python
WeatherForecast
def parse_weather(self, json: dict) -> WeatherForecast: def observable(observer, scheduler): try: if len(json) == 0: raise(Exception('No Weather Data')) location = Location(id=json['id']) location.name = json['name'] ...
def parse_weather(self, json: dict) <MASK> def observable(observer, scheduler): try: if len(json) == 0: raise(Exception('No Weather Data')) location = Location(id=json['id']) location.name = json['name'] if 'sys' in ...
Python
List[str]
def split(self, text: str) -> List[str]: states = OrderedDict() offsets = [0] skip = None for current, current_char in enumerate(text): if skip and current < skip: continue to_remove = set() reset = False for start, trie_poi...
def split(self, text: str) <MASK> states = OrderedDict() offsets = [0] skip = None for current, current_char in enumerate(text): if skip and current < skip: continue to_remove = set() reset = False for start, trie_pointer in...
Python
str
def clean_up_tokenization(out_string: str) -> str: out_string = ( out_string.replace(" .", ".") .replace(" ?", "?") .replace(" !", "!") .replace(" ,", ",") .replace(" ' ", "'") .replace(" n't", "n't") .re...
def clean_up_tokenization(out_string: str) <MASK> out_string = ( out_string.replace(" .", ".") .replace(" ?", "?") .replace(" !", "!") .replace(" ,", ",") .replace(" ' ", "'") .replace(" n't", "n't") .rep...
Python
int
def find_pivot(matrix, col: int) -> int: col_terms = (matrix[line][col] for line in range(col, len(matrix))) col_terms_abs = list(map(abs, col_terms)) max_abs = max(col_terms_abs) return col_terms_abs.index(max_abs) + col
def find_pivot(matrix, col: int) <MASK> col_terms = (matrix[line][col] for line in range(col, len(matrix))) col_terms_abs = list(map(abs, col_terms)) max_abs = max(col_terms_abs) return col_terms_abs.index(max_abs) + col
Python
Iterator[ArchiveEntry]
def iter_extractall(self, outdir:str, **kwargs) -> Iterator[ArchiveEntry]: with self.open() as arcfile: for i, entry in enumerate(self.entries): yield entry with open(os.path.join(outdir, entry.fullname or str(i))) as dstfile: self._extract(entry, ...
def iter_extractall(self, outdir:str, **kwargs) <MASK> with self.open() as arcfile: for i, entry in enumerate(self.entries): yield entry with open(os.path.join(outdir, entry.fullname or str(i))) as dstfile: self._extract(entry, dstfile, arcfile, **...
Python
List[globalentry]
def globalkey_read(vcode1seed:int, file) -> List[globalentry]: import hashlib if isinstance(file, str): with open(file, 'rb') as f: return globalkey_read(vcode1seed, f) if isinstance(vcode1seed, (str,bytes,bytearray)): vcode1 = vcode1seed vcode1seed = vcode_seed(vcode1) ...
def globalkey_read(vcode1seed:int, file) <MASK> import hashlib if isinstance(file, str): with open(file, 'rb') as f: return globalkey_read(vcode1seed, f) if isinstance(vcode1seed, (str,bytes,bytearray)): vcode1 = vcode1seed vcode1seed = vcode_seed(vcode1) elif not isi...
Python
NoReturn
def seed(self, seed:int) -> NoReturn: if not isinstance(seed, int): raise TypeError('{0.__class__.__name__} seed() argument \'seed\' must be an integer, not {1.__class__.__name__}'.format(self, seed)) elif not (0 <= seed <= 0xffffffff): raise ValueError('{0.__class__.__name__} se...
def seed(self, seed:int) <MASK> if not isinstance(seed, int): raise TypeError('{0.__class__.__name__} seed() argument \'seed\' must be an integer, not {1.__class__.__name__}'.format(self, seed)) elif not (0 <= seed <= 0xffffffff): raise ValueError('{0.__class__.__name__} seed() a...
Python
NoReturn
def twist(self) -> NoReturn: if self._index >= self._N+1: self.seed(self.INITIAL_SEED) state, N, M = self._state, self._N, self._M mag01 = (0, self._MATRIX_A) y = 0 for kk in range( 0, N-M): y = (state[kk] & 0x80000000) | (state[kk+1] & 0x7fffffff) ...
def twist(self) <MASK> if self._index >= self._N+1: self.seed(self.INITIAL_SEED) state, N, M = self._state, self._N, self._M mag01 = (0, self._MATRIX_A) y = 0 for kk in range( 0, N-M): y = (state[kk] & 0x80000000) | (state[kk+1] & 0x7fffffff) ...
Python
int
def genrand(self) -> int: if self._index >= self._N: self.twist() y = self._state[self._index] self._index += 1 return self.temper(y)
def genrand(self) <MASK> if self._index >= self._N: self.twist() y = self._state[self._index] self._index += 1 return self.temper(y)
Python
float
def genrand_real1(self) -> float: y = self.genrand() return (y * 2.3283064370807974e-10)
def genrand_real1(self) <MASK> y = self.genrand() return (y * 2.3283064370807974e-10)
Python
float
def genrand_real2(self) -> float: y = self.genrand() return (y * 2.3283064365386963e-10)
def genrand_real2(self) <MASK> y = self.genrand() return (y * 2.3283064365386963e-10)
Python
float
def genrand_real3(self) -> float: y = self.genrand() return ((y + 1.0) * 2.3283064359965952e-10)
def genrand_real3(self) <MASK> y = self.genrand() return ((y + 1.0) * 2.3283064359965952e-10)
Python
int
def temper(cls, y:int) -> int: y ^= (y >> cls._SHIFT_U) y ^= (y << cls._SHIFT_S) & cls._MASK_B y ^= (y << cls._SHIFT_T) & cls._MASK_C y ^= (y >> cls._SHIFT_L) return y & 0xffffffff
def temper(cls, y:int) <MASK> y ^= (y >> cls._SHIFT_U) y ^= (y << cls._SHIFT_S) & cls._MASK_B y ^= (y << cls._SHIFT_T) & cls._MASK_C y ^= (y >> cls._SHIFT_L) return y & 0xffffffff
Python
int
def untemper(cls, y:int) -> int: y ^= (y >> cls._SHIFT_L) y ^= (y << cls._SHIFT_T) & cls._MASK_C for _ in range(7): y ^= (y << cls._SHIFT_S) & cls._MASK_B for _ in range(3): y ^= (y >> cls._SHIFT_U) return y & 0xffffffff
def untemper(cls, y:int) <MASK> y ^= (y >> cls._SHIFT_L) y ^= (y << cls._SHIFT_T) & cls._MASK_C for _ in range(7): y ^= (y << cls._SHIFT_S) & cls._MASK_B for _ in range(3): y ^= (y >> cls._SHIFT_U) return y & 0xffffffff
Python
int
def mt_genrand(seed:int) -> int: if not isinstance(seed, int): raise TypeError('mt_genrand() argument \'seed\' must be an integer, not {0.__class__.__name__}'.format(seed)) elif not (0 <= seed <= 0xffffffff): raise ValueError('mt_genrand() argument \'seed\' must be a 32-bit unsigned integer, not...
def mt_genrand(seed:int) <MASK> if not isinstance(seed, int): raise TypeError('mt_genrand() argument \'seed\' must be an integer, not {0.__class__.__name__}'.format(seed)) elif not (0 <= seed <= 0xffffffff): raise ValueError('mt_genrand() argument \'seed\' must be a 32-bit unsigned integer, not ...
Python
Union[int,str,None]
def cast_entry(entry:Union[pefile.ResourceDataEntryData,pefile.UnicodeStringWrapperPostProcessor,None]) -> Union[int,str,None]: if entry is None: return None elif isinstance(entry, pefile.ResourceDirEntryData): return entry.name.decode() if entry.name is not None else entry.id elif isinstance(en...
def cast_entry(entry:Union[pefile.ResourceDataEntryData,pefile.UnicodeStringWrapperPostProcessor,None]) <MASK> if entry is None: return None elif isinstance(entry, pefile.ResourceDirEntryData): return entry.name.decode() if entry.name is not None else entry.id elif isinstance(entry, pefile.Unico...
Python
'ResourceName'
def from_entry(entry:Union[pefile.ResourceDataEntryData,pefile.UnicodeStringWrapperPostProcessor,None]) -> 'ResourceName': if entry is None: return ResourceName(None) elif isinstance(entry, pefile.ResourceDirEntryData): return ResourceName(entry.name.decode() if entry.name is not None else entry.id)...
def from_entry(entry:Union[pefile.ResourceDataEntryData,pefile.UnicodeStringWrapperPostProcessor,None]) <MASK> if entry is None: return ResourceName(None) elif isinstance(entry, pefile.ResourceDirEntryData): return ResourceName(entry.name.decode() if entry.name is not None else entry.id) elif is...
Python
bool
def _validate_order(order: "Order") -> bool: if not order.lines.exists(): return False shipping_address = order.shipping_address is_shipping_required = order.is_shipping_required() address = shipping_address or order.billing_address return _validate_adddress_details( shipping_address...
def _validate_order(order: "Order") <MASK> if not order.lines.exists(): return False shipping_address = order.shipping_address is_shipping_required = order.is_shipping_required() address = shipping_address or order.billing_address return _validate_adddress_details( shipping_address, ...
Python
bool
def _validate_checkout(checkout: "Checkout") -> bool: if not checkout.lines.exists(): logger.debug("Checkout Lines do NOT exist") return False shipping_address = checkout.shipping_address is_shipping_required = checkout.is_shipping_required address = shipping_address or checkout.billing_...
def _validate_checkout(checkout: "Checkout") <MASK> if not checkout.lines.exists(): logger.debug("Checkout Lines do NOT exist") return False shipping_address = checkout.shipping_address is_shipping_required = checkout.is_shipping_required address = shipping_address or checkout.billing_ad...
Python
render_template
def show_transaction_page(data: DecodedTransaction) -> render_template: return ( render_template( "transaction.html", eth_price=deps.get_eth_price(), transaction=data.metadata, events=data.events, call=data.calls, transfers=data.transfe...
def show_transaction_page(data: DecodedTransaction) <MASK> return ( render_template( "transaction.html", eth_price=deps.get_eth_price(), transaction=data.metadata, events=data.events, call=data.calls, transfers=data.transfers, ...
Python
Optional[str]
def conv_zertifikat_string(input_str: Optional[str]) -> Optional[str]: if input_str is None: return None else: conv_str = str(input_str).strip().lower().replace("-", " ") if conv_str in ("?", "", "x"): return None return ZERTIFIKAT_MAPPING[conv_str]
def conv_zertifikat_string(input_str: Optional[str]) <MASK> if input_str is None: return None else: conv_str = str(input_str).strip().lower().replace("-", " ") if conv_str in ("?", "", "x"): return None return ZERTIFIKAT_MAPPING[conv_str]
Python
Optional[float]
def conv_ee_anteil(input_value: Optional[Union[str, float, int]]) -> Optional[float]: if input_value is None: return None if isinstance(input_value, int) or isinstance(input_value, float): number = float(input_value) else: try: number = float(str(input_value.replace("%", ...
def conv_ee_anteil(input_value: Optional[Union[str, float, int]]) <MASK> if input_value is None: return None if isinstance(input_value, int) or isinstance(input_value, float): number = float(input_value) else: try: number = float(str(input_value.replace("%", ""))) ...
Python
bool
def conv_bool(input_value: Optional[Union[str, int, bool]]) -> bool: if input_value is None: return False elif input_value is False or str(input_value).lower() in ("false", "", "no"): return False elif input_value == 0: return False else: return True
def conv_bool(input_value: Optional[Union[str, int, bool]]) <MASK> if input_value is None: return False elif input_value is False or str(input_value).lower() in ("false", "", "no"): return False elif input_value == 0: return False else: return True
Python
Dict[str, Dict[str, str]]
def program_catalogue_data(src: Optional[str] = None) -> Dict[str, Dict[str, str]]: if src is None: src = URL_USASK_PROGRAMS_LIST else: src = str(src) content = get_content(src) return parse_fields(content, src)
def program_catalogue_data(src: Optional[str] = None) <MASK> if src is None: src = URL_USASK_PROGRAMS_LIST else: src = str(src) content = get_content(src) return parse_fields(content, src)
Python
Dict[str, Dict[str, str]]
def parse_fields(content: str, base_href: str = '') -> Dict[str, Dict[str, str]]: html_root = html5lib.parse(content) css_root = cssselect2.ElementWrapper.from_html_root(html_root) section_heading_selector = 'section.uofs-section h1' data = { get_cleaned_text(section): section_data(section, base...
def parse_fields(content: str, base_href: str = '') <MASK> html_root = html5lib.parse(content) css_root = cssselect2.ElementWrapper.from_html_root(html_root) section_heading_selector = 'section.uofs-section h1' data = { get_cleaned_text(section): section_data(section, base_href) for sect...
Python
dict
def field_data(content: str, base_href: str) -> dict: root = cssselect2.ElementWrapper.from_html_root( html5lib.parse(content)) links_selector = 'section#Programs ul>li>a' links = root.query_all(links_selector) programs_in_subject = { clean_whitespace(element.etree_element.text): ...
def field_data(content: str, base_href: str) <MASK> root = cssselect2.ElementWrapper.from_html_root( html5lib.parse(content)) links_selector = 'section#Programs ul>li>a' links = root.query_all(links_selector) programs_in_subject = { clean_whitespace(element.etree_element.text): ...
Python
str
def program_page(program: str, field: str, level: str) -> str: program_page_url = program_url(field, level, program) content = get_content(program_page_url) return content
def program_page(program: str, field: str, level: str) <MASK> program_page_url = program_url(field, level, program) content = get_content(program_page_url) return content
Python
dict
def parse_program(content: str) -> dict: content_root = cssselect2.ElementWrapper.from_html_root(html5lib.parse(content)) selector_section_heading = 'section.uofs-section h1' section_headings = content_root.query_all(selector_section_heading) return { clean_whitespace(heading.etree_element.text)...
def parse_program(content: str) <MASK> content_root = cssselect2.ElementWrapper.from_html_root(html5lib.parse(content)) selector_section_heading = 'section.uofs-section h1' section_headings = content_root.query_all(selector_section_heading) return { clean_whitespace(heading.etree_element.text): ...
Python
dict
def course_dict(heading: cssselect2.ElementWrapper) -> dict: parent = heading.parent selector = 'ul>li' return { code: get_course_url(code) for code in course_codes(parent, selector) }
def course_dict(heading: cssselect2.ElementWrapper) <MASK> parent = heading.parent selector = 'ul>li' return { code: get_course_url(code) for code in course_codes(parent, selector) }
Python
Generator[str, Any, None]
def course_codes(parent: ElementWrapper, selector: str) -> Generator[str, Any, None]: query: ElementWrapper = parent.query_all(selector) children: Generator[str, Any, None] = ( clean_whitespace(list_item_node.etree_element.text) for list_item_node in query ) return children
def course_codes(parent: ElementWrapper, selector: str) <MASK> query: ElementWrapper = parent.query_all(selector) children: Generator[str, Any, None] = ( clean_whitespace(list_item_node.etree_element.text) for list_item_node in query ) return children
Python
str
def wrapped(key: str) -> str: try: return cache.get(key) except KeyError: text = function(key) cache.set(key, text) return text
def wrapped(key: str) <MASK> try: return cache.get(key) except KeyError: text = function(key) cache.set(key, text) return text
Python
Dict[Text, Any]
def parse_course(content: Text) -> Dict[Text, Any]: root: ElementWrapper = ElementWrapper.from_html_root( html5lib.parse(content)) description_node = root.query('section#Description' '>div#Description-subsection-0') selector_second_p = 'p:nth-child(2)' selector_...
def parse_course(content: Text) <MASK> root: ElementWrapper = ElementWrapper.from_html_root( html5lib.parse(content)) description_node = root.query('section#Description' '>div#Description-subsection-0') selector_second_p = 'p:nth-child(2)' selector_first_p = 'p:...
Python
Dict[str, Any]
def generate_mapping(prerequisites_node: ElementWrapper, text: str) -> Dict[str, Any]: data = { "prerequisites": course_data(prerequisites_node), "summary": clean_whitespace(text), } return data
def generate_mapping(prerequisites_node: ElementWrapper, text: str) <MASK> data = { "prerequisites": course_data(prerequisites_node), "summary": clean_whitespace(text), } return data
Python
str
def filename_from_url(key: str) -> str: as_dict = urllib.parse.urlparse(key)._asdict() exploded = as_dict.values() base_name = SEP_DOT.join(exploded) filename = f"{base_name}.html" return filename
def filename_from_url(key: str) <MASK> as_dict = urllib.parse.urlparse(key)._asdict() exploded = as_dict.values() base_name = SEP_DOT.join(exploded) filename = f"{base_name}.html" return filename
Python
Path
def mkdir_path(path: PATH) -> Path: resolve = Path(path).resolve() try: resolve.mkdir(parents=True, exist_ok=True) except FileExistsError: print(f"File exists at {resolve}.", file=sys.stderr) if not os.path.isdir(resolve): raise NotADirectoryError(resolve)...
def mkdir_path(path: PATH) <MASK> resolve = Path(path).resolve() try: resolve.mkdir(parents=True, exist_ok=True) except FileExistsError: print(f"File exists at {resolve}.", file=sys.stderr) if not os.path.isdir(resolve): raise NotADirectoryError(resolve) ...
Python
Generator[Path, None, None]
def dir_path(path: PATH) -> Generator[Path, None, None]: path = Path(path) assert path.is_dir() return path.iterdir()
def dir_path(path: PATH) <MASK> path = Path(path) assert path.is_dir() return path.iterdir()
Python
str
def load(self, key: str) -> str: path = self.file_path(key) try: result = path.read_text() except FileNotFoundError: raise KeyError('Key does not exist: ', key) return result
def load(self, key: str) <MASK> path = self.file_path(key) try: result = path.read_text() except FileNotFoundError: raise KeyError('Key does not exist: ', key) return result
Python
int
def save(self, filename: str, text: str) -> int: file_path = self.file_path(filename) return file_path.write_text(text)
def save(self, filename: str, text: str) <MASK> file_path = self.file_path(filename) return file_path.write_text(text)
Python
str
def sanitize_filename(filename: str) -> str: return re.sub(r'(?u)[^-\w.]', '', filename)
def sanitize_filename(filename: str) <MASK> return re.sub(r'(?u)[^-\w.]', '', filename)
Python
str
def clean_whitespace(text: str) -> str: text = str(text or '') stripped = text.strip() sub = re.sub(r'\s+', ' ', stripped, ) return sub
def clean_whitespace(text: str) <MASK> text = str(text or '') stripped = text.strip() sub = re.sub(r'\s+', ' ', stripped, ) return sub
Python
Generator[Any, str, None]
def find_tag_with_text(node: cssselect2.ElementWrapper, tag: str, text: str) -> Generator[Any, str, None]: return ( child_node.etree_element.tail for child_node in node.query_all(tag) if clean_whitespace(child_node.etree_element.text) == text )
def find_tag_with_text(node: cssselect2.ElementWrapper, tag: str, text: str) <MASK> return ( child_node.etree_element.tail for child_node in node.query_all(tag) if clean_whitespace(child_node.etree_element.text) == text )
Python
dict
def init_notebook_resources(self) -> dict: resources = {} resources['unique_key'] = self.output if self.config.inline.enabled and self.config.inline.solution: resources['output_files_dir'] = os.path.join(os.pardir, f'{self.output}_files') else: resources['output_f...
def init_notebook_resources(self) <MASK> resources = {} resources['unique_key'] = self.output if self.config.inline.enabled and self.config.inline.solution: resources['output_files_dir'] = os.path.join(os.pardir, f'{self.output}_files') else: resources['output_fil...
Python
ConfigEntry
def create_mock_myenergi_config_entry( hass: HomeAssistant, data: dict[str, Any] | None = None, options: dict[str, Any] | None = None, ) -> ConfigEntry: config_entry: MockConfigEntry = MockConfigEntry( entry_id=TEST_CONFIG_ENTRY_ID, domain=DOMAIN, data=data or MOCK_CONFIG, ...
def create_mock_myenergi_config_entry( hass: HomeAssistant, data: dict[str, Any] | None = None, options: dict[str, Any] | None = None, ) <MASK> config_entry: MockConfigEntry = MockConfigEntry( entry_id=TEST_CONFIG_ENTRY_ID, domain=DOMAIN, data=data or MOCK_CONFIG, title="...
Python
Tuple[np.ndarray, float]
def estep(X: np.ndarray, mixture: GaussianMixture) -> Tuple[np.ndarray, float]: dim = X.shape[1] exponents = np.sum((X[:, np.newaxis, :] - mixture.mu) ** 2, axis=2) / (2 * mixture.var[np.newaxis, :]) weighted_likelihoods = np.transpose(1 / ((2 * np.pi * mixture.var[:, np.newaxis]) ** (dim / 2))) * np.exp( ...
def estep(X: np.ndarray, mixture: GaussianMixture) <MASK> dim = X.shape[1] exponents = np.sum((X[:, np.newaxis, :] - mixture.mu) ** 2, axis=2) / (2 * mixture.var[np.newaxis, :]) weighted_likelihoods = np.transpose(1 / ((2 * np.pi * mixture.var[:, np.newaxis]) ** (dim / 2))) * np.exp( -exponents) * m...
Python
GaussianMixture
def mstep(X: np.ndarray, post: np.ndarray) -> GaussianMixture: dim = X.shape[1] weight = np.sum(post, axis=0) / X.shape[0] mean = np.transpose(np.transpose(np.dot(np.transpose(post), X)) / np.sum(post, axis=0)) var = np.sum(np.sum((X[:, np.newaxis, :] - mean) ** 2, axis=2) * post, axis=0) / (dim * np.su...
def mstep(X: np.ndarray, post: np.ndarray) <MASK> dim = X.shape[1] weight = np.sum(post, axis=0) / X.shape[0] mean = np.transpose(np.transpose(np.dot(np.transpose(post), X)) / np.sum(post, axis=0)) var = np.sum(np.sum((X[:, np.newaxis, :] - mean) ** 2, axis=2) * post, axis=0) / (dim * np.sum(post, axis=...
Python
Tuple[np.ndarray, float]
def estep(X: np.ndarray, mixture: GaussianMixture) -> Tuple[np.ndarray, float]: non_null_index = X.astype(bool).astype(int) dim = np.sum(non_null_index, axis=1) means = non_null_index[:, np.newaxis, :] * mixture.mu quadratic = np.sum((X[:, np.newaxis, :] - means) ** 2, axis=2) / (2 * mixture.var[np.newa...
def estep(X: np.ndarray, mixture: GaussianMixture) <MASK> non_null_index = X.astype(bool).astype(int) dim = np.sum(non_null_index, axis=1) means = non_null_index[:, np.newaxis, :] * mixture.mu quadratic = np.sum((X[:, np.newaxis, :] - means) ** 2, axis=2) / (2 * mixture.var[np.newaxis, :]) normaliza...
Python
GaussianMixture
def mstep(X: np.ndarray, post: np.ndarray, mixture: GaussianMixture, min_variance: float = .25) -> GaussianMixture: non_null_index = X.astype(bool).astype(int) dim = np.sum(non_null_index, axis=1) reduced_post = np.transpose(non_null_index.T[:, np.newaxis, :] * post.T) no_update = np.sum(reduc...
def mstep(X: np.ndarray, post: np.ndarray, mixture: GaussianMixture, min_variance: float = .25) <MASK> non_null_index = X.astype(bool).astype(int) dim = np.sum(non_null_index, axis=1) reduced_post = np.transpose(non_null_index.T[:, np.newaxis, :] * post.T) no_update = np.sum(reduced_post, axis...
Python
np.ndarray
def fill_matrix(X: np.ndarray, mixture: GaussianMixture) -> np.ndarray: non_null_index = X.astype(bool).astype(int) dim = np.sum(non_null_index, axis=1) means = non_null_index[:, np.newaxis, :] * mixture.mu quadratic = np.sum((X[:, np.newaxis, :] - means) ** 2, axis=2) / (2 * mixture.var[np.newaxis, :])...
def fill_matrix(X: np.ndarray, mixture: GaussianMixture) <MASK> non_null_index = X.astype(bool).astype(int) dim = np.sum(non_null_index, axis=1) means = non_null_index[:, np.newaxis, :] * mixture.mu quadratic = np.sum((X[:, np.newaxis, :] - means) ** 2, axis=2) / (2 * mixture.var[np.newaxis, :]) nor...
Python
http.client.HTTPResponse
def make_request(*args, **kwargs) -> http.client.HTTPResponse: if "headers" not in kwargs: kwargs["headers"] = _http_headers return urllib.request.urlopen(urllib.request.Request(*args, **kwargs))
def make_request(*args, **kwargs) <MASK> if "headers" not in kwargs: kwargs["headers"] = _http_headers return urllib.request.urlopen(urllib.request.Request(*args, **kwargs))
Python
list[Symbol]
def find_symbols(self, text: str) -> list[Symbol]: schedule.run_pending() symbols = [] stocks = set(re.findall(self.STOCK_REGEX, text)) for stock in stocks: if stock.upper() in self.stock.symbol_list["symbol"].values: symbols.append(Stock(stock)) e...
def find_symbols(self, text: str) <MASK> schedule.run_pending() symbols = [] stocks = set(re.findall(self.STOCK_REGEX, text)) for stock in stocks: if stock.upper() in self.stock.symbol_list["symbol"].values: symbols.append(Stock(stock)) else: ...
Python
str
def status(self, bot_resp) -> str: stats = f""" Bot Status: {bot_resp} Stock Market Data: {self.stock.status()} Cryptocurrency Data: {self.crypto.status()} """ warning(stats) return stats
def status(self, bot_resp) <MASK> stats = f""" Bot Status: {bot_resp} Stock Market Data: {self.stock.status()} Cryptocurrency Data: {self.crypto.status()} """ warning(stats) return stats
Python
list[str]
def price_reply(self, symbols: list[Symbol]) -> list[str]: replies = [] for symbol in symbols: info(symbol) if isinstance(symbol, Stock): replies.append(self.stock.price_reply(symbol)) elif isinstance(symbol, Coin): replies.append(self....
def price_reply(self, symbols: list[Symbol]) <MASK> replies = [] for symbol in symbols: info(symbol) if isinstance(symbol, Stock): replies.append(self.stock.price_reply(symbol)) elif isinstance(symbol, Coin): replies.append(self.crypto....
Python
list[str]
def dividend_reply(self, symbols: list) -> list[str]: replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.dividend_reply(symbol)) elif isinstance(symbol, Coin): replies.append("Cryptocurrencies do no have Div...
def dividend_reply(self, symbols: list) <MASK> replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.dividend_reply(symbol)) elif isinstance(symbol, Coin): replies.append("Cryptocurrencies do no have Dividends....
Python
list[str]
def news_reply(self, symbols: list) -> list[str]: replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.news_reply(symbol)) elif isinstance(symbol, Coin): replies.append( "News is not yet su...
def news_reply(self, symbols: list) <MASK> replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.news_reply(symbol)) elif isinstance(symbol, Coin): replies.append( "News is not yet supported...
Python
list[str]
def info_reply(self, symbols: list) -> list[str]: replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.info_reply(symbol)) elif isinstance(symbol, Coin): replies.append(self.crypto.info_reply(symbol)) ...
def info_reply(self, symbols: list) <MASK> replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.info_reply(symbol)) elif isinstance(symbol, Coin): replies.append(self.crypto.info_reply(symbol)) els...
Python
pd.DataFrame
def intra_reply(self, symbol: Symbol) -> pd.DataFrame: if isinstance(symbol, Stock): return self.stock.intra_reply(symbol) elif isinstance(symbol, Coin): return self.crypto.intra_reply(symbol) else: debug(f"{symbol} is not a Stock or Coin") return ...
def intra_reply(self, symbol: Symbol) <MASK> if isinstance(symbol, Stock): return self.stock.intra_reply(symbol) elif isinstance(symbol, Coin): return self.crypto.intra_reply(symbol) else: debug(f"{symbol} is not a Stock or Coin") return pd.DataFra...
Python
pd.DataFrame
def chart_reply(self, symbol: Symbol) -> pd.DataFrame: if isinstance(symbol, Stock): return self.stock.chart_reply(symbol) elif isinstance(symbol, Coin): return self.crypto.chart_reply(symbol) else: debug(f"{symbol} is not a Stock or Coin") return ...
def chart_reply(self, symbol: Symbol) <MASK> if isinstance(symbol, Stock): return self.stock.chart_reply(symbol) elif isinstance(symbol, Coin): return self.crypto.chart_reply(symbol) else: debug(f"{symbol} is not a Stock or Coin") return pd.DataFra...
Python
list[str]
def stat_reply(self, symbols: list[Symbol]) -> list[str]: replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.stat_reply(symbol)) elif isinstance(symbol, Coin): replies.append(self.crypto.stat_reply(symbol)) ...
def stat_reply(self, symbols: list[Symbol]) <MASK> replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.stat_reply(symbol)) elif isinstance(symbol, Coin): replies.append(self.crypto.stat_reply(symbol)) ...
Python
list[str]
def cap_reply(self, symbols: list[Symbol]) -> list[str]: replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.cap_reply(symbol)) elif isinstance(symbol, Coin): replies.append(self.crypto.cap_reply(symbol)) ...
def cap_reply(self, symbols: list[Symbol]) <MASK> replies = [] for symbol in symbols: if isinstance(symbol, Stock): replies.append(self.stock.cap_reply(symbol)) elif isinstance(symbol, Coin): replies.append(self.crypto.cap_reply(symbol)) ...
Python
str
def trending(self) -> str: stocks = self.stock.trending() coins = self.crypto.trending() reply = "" if self.trending_count: reply += "🔥Trending on the Stock Bot:\n`" reply += "━" * len("Trending on the Stock Bot:") + "`\n" sorted_trending = [ ...
def trending(self) <MASK> stocks = self.stock.trending() coins = self.crypto.trending() reply = "" if self.trending_count: reply += "🔥Trending on the Stock Bot:\n`" reply += "━" * len("Trending on the Stock Bot:") + "`\n" sorted_trending = [ ...
Python
list[str]
def batch_price_reply(self, symbols: list[Symbol]) -> list[str]: replies = [] stocks = [] coins = [] for symbol in symbols: if isinstance(symbol, Stock): stocks.append(symbol) elif isinstance(symbol, Coin): coins.append(symbol) ...
def batch_price_reply(self, symbols: list[Symbol]) <MASK> replies = [] stocks = [] coins = [] for symbol in symbols: if isinstance(symbol, Stock): stocks.append(symbol) elif isinstance(symbol, Coin): coins.append(symbol) ...
Python
str
def status(self) -> str: status = r.get( "https://api.coingecko.com/api/v3/ping", timeout=5, ) try: status.raise_for_status() return f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds." ...
def status(self) <MASK> status = r.get( "https://api.coingecko.com/api/v3/ping", timeout=5, ) try: status.raise_for_status() return f"CoinGecko API responded that it was OK with a {status.status_code} in {status.elapsed.total_seconds()} Seconds." ...
Python
str
def price_reply(self, coin: Coin) -> str: if resp := self.get( "/simple/price", params={ "ids": coin.id, "vs_currencies": self.vs_currency, "include_24hr_change": "true", }, ): try: data = res...
def price_reply(self, coin: Coin) <MASK> if resp := self.get( "/simple/price", params={ "ids": coin.id, "vs_currencies": self.vs_currency, "include_24hr_change": "true", }, ): try: data = resp...
Python
pd.DataFrame
def intra_reply(self, symbol: Coin) -> pd.DataFrame: if resp := self.get( f"/coins/{symbol.id}/ohlc", params={"vs_currency": self.vs_currency, "days": 1}, ): df = pd.DataFrame( resp, columns=["Date", "Open", "High", "Low", "Close"] ).dropna...
def intra_reply(self, symbol: Coin) <MASK> if resp := self.get( f"/coins/{symbol.id}/ohlc", params={"vs_currency": self.vs_currency, "days": 1}, ): df = pd.DataFrame( resp, columns=["Date", "Open", "High", "Low", "Close"] ).dropna() ...
Python
pd.DataFrame
def chart_reply(self, symbol: Coin) -> pd.DataFrame: if resp := self.get( f"/coins/{symbol.id}/ohlc", params={"vs_currency": self.vs_currency, "days": 30}, ): df = pd.DataFrame( resp, columns=["Date", "Open", "High", "Low", "Close"] ).dropn...
def chart_reply(self, symbol: Coin) <MASK> if resp := self.get( f"/coins/{symbol.id}/ohlc", params={"vs_currency": self.vs_currency, "days": 30}, ): df = pd.DataFrame( resp, columns=["Date", "Open", "High", "Low", "Close"] ).dropna() ...
Python
str
def stat_reply(self, symbol: Coin) -> str: if data := self.get( f"/coins/{symbol.id}", params={ "localization": "false", }, ): return f""" [{data['name']}]({data['links']['homepage'][0]}) Statistics: Market C...
def stat_reply(self, symbol: Coin) <MASK> if data := self.get( f"/coins/{symbol.id}", params={ "localization": "false", }, ): return f""" [{data['name']}]({data['links']['homepage'][0]}) Statistics: Market Ca...
Python
list[str]
def trending(self) -> list[str]: coins = self.get("/search/trending") try: trending = [] for coin in coins["coins"]: c = coin["item"] sym = c["symbol"].upper() name = c["name"] change = self.get( ...
def trending(self) <MASK> coins = self.get("/search/trending") try: trending = [] for coin in coins["coins"]: c = coin["item"] sym = c["symbol"].upper() name = c["name"] change = self.get( f"/simp...
Python
list[str]
def batch_price(self, coins: list[Coin]) -> list[str]: query = ",".join([c.id for c in coins]) prices = self.get( f"/simple/price", params={ "ids": query, "vs_currencies": self.vs_currency, "include_24hr_change": "true", ...
def batch_price(self, coins: list[Coin]) <MASK> query = ",".join([c.id for c in coins]) prices = self.get( f"/simple/price", params={ "ids": query, "vs_currencies": self.vs_currency, "include_24hr_change": "true", }, ...
Python
str
def status(self) -> str: if self.IEX_TOKEN == "": return "The `IEX_TOKEN` is not set so Stock Market data is not available." resp = r.get( "https://pjmps0c34hp7.statuspage.io/api/v2/status.json", timeout=15, ) if resp.status_code == 200: st...
def status(self) <MASK> if self.IEX_TOKEN == "": return "The `IEX_TOKEN` is not set so Stock Market data is not available." resp = r.get( "https://pjmps0c34hp7.statuspage.io/api/v2/status.json", timeout=15, ) if resp.status_code == 200: sta...
Python
str
def price_reply(self, symbol: Stock) -> str: if IEXData := self.get(f"/stock/{symbol.id}/quote"): if symbol.symbol.upper() in self.otc_list: return f"OTC - {symbol.symbol.upper()}, {IEXData['companyName']} most recent price is: $**{IEXData['latestPrice']}**" keys = ( ...
def price_reply(self, symbol: Stock) <MASK> if IEXData := self.get(f"/stock/{symbol.id}/quote"): if symbol.symbol.upper() in self.otc_list: return f"OTC - {symbol.symbol.upper()}, {IEXData['companyName']} most recent price is: $**{IEXData['latestPrice']}**" keys = ( ...
Python
str
def dividend_reply(self, symbol: Stock) -> str: if symbol.symbol.upper() in self.otc_list: return "OTC stocks do not currently support any commands." if resp := self.get(f"/stock/{symbol.id}/dividends/next"): try: IEXData = resp[0] except IndexError as...
def dividend_reply(self, symbol: Stock) <MASK> if symbol.symbol.upper() in self.otc_list: return "OTC stocks do not currently support any commands." if resp := self.get(f"/stock/{symbol.id}/dividends/next"): try: IEXData = resp[0] except IndexError as ...
Python
str
def cap_reply(self, symbol: Stock) -> str: if data := self.get(f"/stock/{symbol.id}/stats"): try: cap = data["marketcap"] except KeyError: return f"{symbol.id} returned an error." message = f"The current market cap of {symbol.name} is $**{cap:,...
def cap_reply(self, symbol: Stock) <MASK> if data := self.get(f"/stock/{symbol.id}/stats"): try: cap = data["marketcap"] except KeyError: return f"{symbol.id} returned an error." message = f"The current market cap of {symbol.name} is $**{cap:,....
Python
pd.DataFrame
def intra_reply(self, symbol: Stock) -> pd.DataFrame: if symbol.symbol.upper() in self.otc_list: return pd.DataFrame() if symbol.id.upper() not in list(self.symbol_list["symbol"]): return pd.DataFrame() if data := self.get(f"/stock/{symbol.id}/intraday-prices"): ...
def intra_reply(self, symbol: Stock) <MASK> if symbol.symbol.upper() in self.otc_list: return pd.DataFrame() if symbol.id.upper() not in list(self.symbol_list["symbol"]): return pd.DataFrame() if data := self.get(f"/stock/{symbol.id}/intraday-prices"): df = pd...
Python
pd.DataFrame
def chart_reply(self, symbol: Stock) -> pd.DataFrame: schedule.run_pending() if symbol.symbol.upper() in self.otc_list: return pd.DataFrame() if symbol.id.upper() not in list(self.symbol_list["symbol"]): return pd.DataFrame() try: return self.charts[...
def chart_reply(self, symbol: Stock) <MASK> schedule.run_pending() if symbol.symbol.upper() in self.otc_list: return pd.DataFrame() if symbol.id.upper() not in list(self.symbol_list["symbol"]): return pd.DataFrame() try: return self.charts[symbol.id....
Python
Any
def deserialize(self, string: str) -> Any: try: return self._deserializer(string) except (ValueError, TypeError): return string
def deserialize(self, string: str) <MASK> try: return self._deserializer(string) except (ValueError, TypeError): return string
Python
Response
def prep_response(self, resp: Response, deserialize: bool = True) -> Response: if deserialize: resp.body = self.deserialize(resp.raw_body) if isinstance(resp.body, dict): resp.error_code = resp.body.get("errorNum") resp.error_message = resp.body.get("error...
def prep_response(self, resp: Response, deserialize: bool = True) <MASK> if deserialize: resp.body = self.deserialize(resp.raw_body) if isinstance(resp.body, dict): resp.error_code = resp.body.get("errorNum") resp.error_message = resp.body.get("errorMessag...
Python
Response
def prep_bulk_err_response(self, parent_response: Response, body: Json) -> Response: resp = Response( method=parent_response.method, url=parent_response.url, headers=parent_response.headers, status_code=parent_response.status_code, status_text=parent_r...
def prep_bulk_err_response(self, parent_response: Response, body: Json) <MASK> resp = Response( method=parent_response.method, url=parent_response.url, headers=parent_response.headers, status_code=parent_response.status_code, status_text=parent_respons...
Python
int
def ping(self) -> int: request = Request(method="get", endpoint="/_api/collection") resp = self.send_request(request) if resp.status_code in {401, 403}: raise ServerConnectionError("bad username and/or password") if not resp.is_success: raise ServerConnectionErr...
def ping(self) <MASK> request = Request(method="get", endpoint="/_api/collection") resp = self.send_request(request) if resp.status_code in {401, 403}: raise ServerConnectionError("bad username and/or password") if not resp.is_success: raise ServerConnectionErro...
Python
Response
def send_request(self, request: Request) -> Response: raise NotImplementedError
def send_request(self, request: Request) <MASK> raise NotImplementedError
Python
Response
def send_request(self, request: Request) -> Response: host_index = self._host_resolver.get_host_index() resp = self._http.send_request( session=self._sessions[host_index], method=request.method, url=self._url_prefixes[host_index] + request.endpoint, params...
def send_request(self, request: Request) <MASK> host_index = self._host_resolver.get_host_index() resp = self._http.send_request( session=self._sessions[host_index], method=request.method, url=self._url_prefixes[host_index] + request.endpoint, params=reque...
Python
Response
def send_request(self, request: Request) -> Response: host_index = self._host_resolver.get_host_index() if self._auth_header is not None: request.headers["Authorization"] = self._auth_header resp = self._http.send_request( session=self._sessions[host_index], m...
def send_request(self, request: Request) <MASK> host_index = self._host_resolver.get_host_index() if self._auth_header is not None: request.headers["Authorization"] = self._auth_header resp = self._http.send_request( session=self._sessions[host_index], method=...
Python
Response
def send_request(self, request: Request) -> Response: host_index = self._host_resolver.get_host_index() request.headers["Authorization"] = self._auth_header resp = self._http.send_request( session=self._sessions[host_index], method=request.method, url=self._ur...
def send_request(self, request: Request) <MASK> host_index = self._host_resolver.get_host_index() request.headers["Authorization"] = self._auth_header resp = self._http.send_request( session=self._sessions[host_index], method=request.method, url=self._url_pref...
Python
Sequence[str]
def hosts(self) -> Sequence[str]: return self._hosts
def hosts(self) <MASK> return self._hosts
Python
StandardDatabase
def db( self, name: str = "_system", username: str = "root", password: str = "", verify: bool = False, auth_method: str = "basic", superuser_token: Optional[str] = None, ) -> StandardDatabase: connection: Connection if superuser_token is not No...
def db( self, name: str = "_system", username: str = "root", password: str = "", verify: bool = False, auth_method: str = "basic", superuser_token: Optional[str] = None, ) <MASK> connection: Connection if superuser_token is not None: ...
Python
Tuple[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]]
def forward( self, x: torch.Tensor, state_init: Tuple[torch.Tensor, torch.Tensor], ) -> Tuple[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]]: seq_length, batch_sz, _ = x.shape if self.reverse: x = x.flip(0) x = torch.unbind(x, dim=0) h_0, c_0 = s...
def forward( self, x: torch.Tensor, state_init: Tuple[torch.Tensor, torch.Tensor], ) <MASK> seq_length, batch_sz, _ = x.shape if self.reverse: x = x.flip(0) x = torch.unbind(x, dim=0) h_0, c_0 = state_init h_n = [h_0] c_n = [c_0] ...
Python
Dict[str, torch.tensor]
def compute_microbatch_grad_sample( self, x: torch.Tensor, module: nn.Module, batch_first=True, loss_reduction="mean", ) -> Dict[str, torch.tensor]: torch.set_deterministic(True) torch.manual_seed(0) np.random.seed(0) module = ModelWithLoss(clo...
def compute_microbatch_grad_sample( self, x: torch.Tensor, module: nn.Module, batch_first=True, loss_reduction="mean", ) <MASK> torch.set_deterministic(True) torch.manual_seed(0) np.random.seed(0) module = ModelWithLoss(clone_module(module), lo...
Python
Dict[str, torch.tensor]
def compute_opacus_grad_sample( self, x: torch.Tensor, module: nn.Module, batch_first=True, loss_reduction="mean", ) -> Dict[str, torch.tensor]: torch.set_deterministic(True) torch.manual_seed(0) np.random.seed(0) gs_module = clone_module(modul...
def compute_opacus_grad_sample( self, x: torch.Tensor, module: nn.Module, batch_first=True, loss_reduction="mean", ) <MASK> torch.set_deterministic(True) torch.manual_seed(0) np.random.seed(0) gs_module = clone_module(module) opacus.aut...
Python
Distro
def guess_distro() -> Distro: if shutil.which('apt') or shutil.which('apt-get'): return Distro.debian_derivative if shutil.which('dnf'): return Distro.fedora_derivative return Distro.unknown
def guess_distro() <MASK> if shutil.which('apt') or shutil.which('apt-get'): return Distro.debian_derivative if shutil.which('dnf'): return Distro.fedora_derivative return Distro.unknown
Python
bool
def pypi_version_exists(package_name: str, version: str) -> bool: l = pypi_versions(package_name) if not version in l: sys.stderr.write( _( "The specified PyQt5 version does not exist. Valid versions are: {}." ).format(', '.join(l)) + "\n" ) return...
def pypi_version_exists(package_name: str, version: str) <MASK> l = pypi_versions(package_name) if not version in l: sys.stderr.write( _( "The specified PyQt5 version does not exist. Valid versions are: {}." ).format(', '.join(l)) + "\n" ) return F...
Python
str
def make_distro_packager_command(distro_family: Distro, packages: str, interactive: bool, command: str='install', sudo: bool=True) -> str: installer = installer_cmds[distro_family] ...
def make_distro_packager_command(distro_family: Distro, packages: str, interactive: bool, command: str='install', sudo: bool=True) <MASK> installer = installer_cmds[distro_family] ...
Python
str
def make_distro_mark_commmand(distro_family: Distro, packages: str, interactive: bool, sudo: bool=True) -> str: marker, command = manually_mark_cmds[distro_family] cmd = shutil.which(marker) if sudo: ...
def make_distro_mark_commmand(distro_family: Distro, packages: str, interactive: bool, sudo: bool=True) <MASK> marker, command = manually_mark_cmds[distro_family] cmd = shutil.which(marker) if sudo: ...
Python
str
def python_package_version(package: str) -> str: try: return pkg_resources.get_distribution(package).version except pkg_resources.DistributionNotFound: return ''
def python_package_version(package: str) <MASK> try: return pkg_resources.get_distribution(package).version except pkg_resources.DistributionNotFound: return ''
Python
int
def popen_capture_output(cmd: str) -> int: with Popen(cmd, stdout=PIPE, stderr=PIPE, bufsize=1, universal_newlines=True) as p: for line in p.stdout: print(line, end='') p.wait() i = p.returncode return i
def popen_capture_output(cmd: str) <MASK> with Popen(cmd, stdout=PIPE, stderr=PIPE, bufsize=1, universal_newlines=True) as p: for line in p.stdout: print(line, end='') p.wait() i = p.returncode return i
Python
int
def install_pygobject_from_pip() -> int: cmd = make_pip_command( 'install {} -U --disable-pip-version-check pycairo'.format(pip_user) ) i = popen_capture_output(cmd) if i != 0: return i cmd = make_pip_command( 'install {} -U --disable-pip-version-check PyGObject'.format(pip_u...
def install_pygobject_from_pip() <MASK> cmd = make_pip_command( 'install {} -U --disable-pip-version-check pycairo'.format(pip_user) ) i = popen_capture_output(cmd) if i != 0: return i cmd = make_pip_command( 'install {} -U --disable-pip-version-check PyGObject'.format(pip_us...
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