code stringlengths 66 870k | docstring stringlengths 19 26.7k | func_name stringlengths 1 138 | language stringclasses 1
value | repo stringlengths 7 68 | path stringlengths 5 324 | url stringlengths 46 389 | license stringclasses 7
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|---|---|---|---|---|---|---|---|
def __init__(
self,
model_name: str = "gpt-4",
temperature: float = 0.0,
max_tokens: Optional[int] = None,
api_key: Optional[str] = None,
base_url: Optional[str] = None,
**kwargs
):
"""
Initialize an OpenAIModel instance.
Arg... |
Initialize an OpenAIModel instance.
Args:
model_name: The name of the OpenAI model to use.
temperature: Controls randomness in outputs. Lower values are more deterministic.
max_tokens: Maximum number of tokens to generate.
api_key: OpenAI API key... | __init__ | python | nikmcfly/ANUS | anus/models/openai_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/openai_model.py | MIT |
def generate(
self,
prompt: str,
system_message: Optional[str] = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
**kwargs
) -> str:
"""
Generate text based on a prompt using OpenAI.
Args:
prom... |
Generate text based on a prompt using OpenAI.
Args:
prompt: The text prompt for generation.
system_message: Optional system message for the model.
temperature: Controls randomness in outputs. Overrides instance value if provided.
max_tokens: Maxi... | generate | python | nikmcfly/ANUS | anus/models/openai_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/openai_model.py | MIT |
def generate_with_tools(
self,
prompt: str,
tools: List[Dict[str, Any]],
system_message: Optional[str] = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
**kwargs
) -> Dict[str, Any]:
"""
Generate text with tool ca... |
Generate text with tool calling capabilities.
Args:
prompt: The text prompt for generation.
tools: List of tool schemas available for use.
system_message: Optional system message for the model.
temperature: Controls randomness in outputs. Overrid... | generate_with_tools | python | nikmcfly/ANUS | anus/models/openai_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/openai_model.py | MIT |
def extract_json(
self,
prompt: str,
schema: Dict[str, Any],
system_message: Optional[str] = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
**kwargs
) -> Dict[str, Any]:
"""
Extract structured JSON data based on ... |
Extract structured JSON data based on a prompt.
Args:
prompt: The text prompt for extraction.
schema: JSON schema describing the expected structure.
system_message: Optional system message for the model.
temperature: Controls randomness in output... | extract_json | python | nikmcfly/ANUS | anus/models/openai_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/openai_model.py | MIT |
def get_embedding(self, text: str, **kwargs) -> List[float]:
"""
Generate an embedding vector for the given text.
Args:
text: The text to embed.
**kwargs: Additional OpenAI-specific parameters.
Returns:
The embedding vector as a l... |
Generate an embedding vector for the given text.
Args:
text: The text to embed.
**kwargs: Additional OpenAI-specific parameters.
Returns:
The embedding vector as a list of floats.
| get_embedding | python | nikmcfly/ANUS | anus/models/openai_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/openai_model.py | MIT |
def __init__(
self,
model_name: str,
temperature: float = 0.0,
max_tokens: Optional[int] = None,
**kwargs
):
"""
Initialize a BaseModel instance.
Args:
model_name: The name of the model to use.
temperature: Controls r... |
Initialize a BaseModel instance.
Args:
model_name: The name of the model to use.
temperature: Controls randomness in outputs. Lower values are more deterministic.
max_tokens: Maximum number of tokens to generate.
**kwargs: Additional model-specif... | __init__ | python | nikmcfly/ANUS | anus/models/base/base_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/base/base_model.py | MIT |
def generate(
self,
prompt: str,
system_message: Optional[str] = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
**kwargs
) -> str:
"""
Generate text based on a prompt.
Args:
prompt: The text ... |
Generate text based on a prompt.
Args:
prompt: The text prompt for generation.
system_message: Optional system message for models that support it.
temperature: Controls randomness in outputs. Overrides instance value if provided.
max_tokens: Maxi... | generate | python | nikmcfly/ANUS | anus/models/base/base_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/base/base_model.py | MIT |
def generate_with_tools(
self,
prompt: str,
tools: List[Dict[str, Any]],
system_message: Optional[str] = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
**kwargs
) -> Dict[str, Any]:
"""
Generate text with tool ca... |
Generate text with tool calling capabilities.
Args:
prompt: The text prompt for generation.
tools: List of tool schemas available for use.
system_message: Optional system message for models that support it.
temperature: Controls randomness in out... | generate_with_tools | python | nikmcfly/ANUS | anus/models/base/base_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/base/base_model.py | MIT |
def extract_json(
self,
prompt: str,
schema: Dict[str, Any],
system_message: Optional[str] = None,
temperature: Optional[float] = None,
max_tokens: Optional[int] = None,
**kwargs
) -> Dict[str, Any]:
"""
Extract structured JSON data based on ... |
Extract structured JSON data based on a prompt.
Args:
prompt: The text prompt for extraction.
schema: JSON schema describing the expected structure.
system_message: Optional system message for models that support it.
temperature: Controls randomn... | extract_json | python | nikmcfly/ANUS | anus/models/base/base_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/base/base_model.py | MIT |
def get_model_details(self) -> Dict[str, Any]:
"""
Get details about the model.
Returns:
A dictionary containing model information.
"""
return {
"model_name": self.model_name,
"temperature": self.temperature,
"max_tokens": ... |
Get details about the model.
Returns:
A dictionary containing model information.
| get_model_details | python | nikmcfly/ANUS | anus/models/base/base_model.py | https://github.com/nikmcfly/ANUS/blob/master/anus/models/base/base_model.py | MIT |
def execute(self, expression: str, **kwargs) -> Union[Dict[str, Any], ToolResult]:
"""
Execute the calculator tool.
Args:
expression: The mathematical expression to evaluate.
**kwargs: Additional parameters (ignored).
Returns:
The... |
Execute the calculator tool.
Args:
expression: The mathematical expression to evaluate.
**kwargs: Additional parameters (ignored).
Returns:
The calculation result.
| execute | python | nikmcfly/ANUS | anus/tools/calculator.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/calculator.py | MIT |
def _eval_expr(self, node: ast.AST) -> float:
"""
Recursively evaluate an AST expression node.
Args:
node: The AST node to evaluate.
Returns:
The evaluated result.
Raises:
ValueError: If the expression contain... |
Recursively evaluate an AST expression node.
Args:
node: The AST node to evaluate.
Returns:
The evaluated result.
Raises:
ValueError: If the expression contains unsupported operations.
| _eval_expr | python | nikmcfly/ANUS | anus/tools/calculator.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/calculator.py | MIT |
def execute(self, code: str, **kwargs) -> Union[Dict[str, Any], ToolResult]:
"""
Execute the provided Python code in a restricted environment.
Args:
code: The Python code to execute.
**kwargs: Additional parameters (ignored).
Returns:
... |
Execute the provided Python code in a restricted environment.
Args:
code: The Python code to execute.
**kwargs: Additional parameters (ignored).
Returns:
The execution result.
| execute | python | nikmcfly/ANUS | anus/tools/code.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/code.py | MIT |
def _validate_code(self, code: str) -> None:
"""
Validate code for security concerns.
Args:
code: The code to validate.
Raises:
ValueError: If the code contains forbidden elements.
"""
# Check for suspicious imports or calls
... |
Validate code for security concerns.
Args:
code: The code to validate.
Raises:
ValueError: If the code contains forbidden elements.
| _validate_code | python | nikmcfly/ANUS | anus/tools/code.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/code.py | MIT |
def _create_restricted_env(self) -> Dict[str, Any]:
"""
Create a restricted execution environment.
Returns:
A dictionary with allowed modules and builtins.
"""
# Start with a clean dictionary
restricted_env = {}
# Add allowed modules
... |
Create a restricted execution environment.
Returns:
A dictionary with allowed modules and builtins.
| _create_restricted_env | python | nikmcfly/ANUS | anus/tools/code.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/code.py | MIT |
def execute(self, query: str, **kwargs) -> Union[Dict[str, Any], ToolResult]:
"""
Execute the search tool.
Args:
query: The search query.
**kwargs: Additional parameters (ignored).
Returns:
The search results.
"""
... |
Execute the search tool.
Args:
query: The search query.
**kwargs: Additional parameters (ignored).
Returns:
The search results.
| execute | python | nikmcfly/ANUS | anus/tools/search.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/search.py | MIT |
def execute(self, text: str, operation: str, **kwargs) -> Union[Dict[str, Any], ToolResult]:
"""
Execute the text tool.
Args:
text: The text to process.
operation: The operation to perform.
**kwargs: Additional parameters (ignored).
... |
Execute the text tool.
Args:
text: The text to process.
operation: The operation to perform.
**kwargs: Additional parameters (ignored).
Returns:
The processed text result.
| execute | python | nikmcfly/ANUS | anus/tools/text.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/text.py | MIT |
def get_schema(self) -> Dict[str, Any]:
"""
Get the tool's parameter schema.
Returns:
A dictionary describing the tool's parameters.
"""
# Base implementation returns a simple schema
return {
"name": self.name,
"description": s... |
Get the tool's parameter schema.
Returns:
A dictionary describing the tool's parameters.
| get_schema | python | nikmcfly/ANUS | anus/tools/base/tool.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/base/tool.py | MIT |
def register_tool(self, tool: BaseTool) -> None:
"""
Register a tool instance.
Args:
tool: The tool instance to register.
"""
self.tools[tool.name] = tool
logging.info(f"Registered tool: {tool.name}") |
Register a tool instance.
Args:
tool: The tool instance to register.
| register_tool | python | nikmcfly/ANUS | anus/tools/base/tool_collection.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/base/tool_collection.py | MIT |
def register_tool_class(self, tool_class: Type[BaseTool]) -> None:
"""
Register a tool class for later instantiation.
Args:
tool_class: The tool class to register.
"""
name = getattr(tool_class, "name", tool_class.__name__.lower())
self.tool_classes[n... |
Register a tool class for later instantiation.
Args:
tool_class: The tool class to register.
| register_tool_class | python | nikmcfly/ANUS | anus/tools/base/tool_collection.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/base/tool_collection.py | MIT |
def get_tool(self, name: str) -> Optional[BaseTool]:
"""
Get a tool by name.
Args:
name: The name of the tool.
Returns:
The tool instance, or None if not found.
"""
# Check if the tool is already instantiated
if name i... |
Get a tool by name.
Args:
name: The name of the tool.
Returns:
The tool instance, or None if not found.
| get_tool | python | nikmcfly/ANUS | anus/tools/base/tool_collection.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/base/tool_collection.py | MIT |
def execute_tool(self, name: str, **kwargs) -> Any:
"""
Execute a tool by name.
Args:
name: The name of the tool to execute.
**kwargs: Input parameters for the tool.
Returns:
The result of the tool execution, or an error message.
... |
Execute a tool by name.
Args:
name: The name of the tool to execute.
**kwargs: Input parameters for the tool.
Returns:
The result of the tool execution, or an error message.
| execute_tool | python | nikmcfly/ANUS | anus/tools/base/tool_collection.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/base/tool_collection.py | MIT |
def discover_tools(self, package_name: str = "anus.tools") -> int:
"""
Discover tools in the specified package.
Args:
package_name: The package to search for tools.
Returns:
The number of tools discovered.
"""
count = 0
... |
Discover tools in the specified package.
Args:
package_name: The package to search for tools.
Returns:
The number of tools discovered.
| discover_tools | python | nikmcfly/ANUS | anus/tools/base/tool_collection.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/base/tool_collection.py | MIT |
def __init__(
self,
tool_name: str,
status: str = "success",
result: Any = None,
error: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None
):
"""
Initialize a ToolResult instance.
Args:
tool_name: Name of the ... |
Initialize a ToolResult instance.
Args:
tool_name: Name of the tool that produced the result.
status: Status of the tool execution ("success" or "error").
result: The actual result data.
error: Error message if status is "error".
meta... | __init__ | python | nikmcfly/ANUS | anus/tools/base/tool_result.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/base/tool_result.py | MIT |
def to_dict(self) -> Dict[str, Any]:
"""
Convert the result to a dictionary.
Returns:
A dictionary representation of the result.
"""
result_dict = {
"tool_name": self.tool_name,
"status": self.status,
"timestamp": self.time... |
Convert the result to a dictionary.
Returns:
A dictionary representation of the result.
| to_dict | python | nikmcfly/ANUS | anus/tools/base/tool_result.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/base/tool_result.py | MIT |
def validate_input(self, expression: str = None, **kwargs) -> bool:
"""
Validate the input parameters.
Args:
expression: The mathematical expression to validate.
**kwargs: Additional parameters (ignored).
Returns:
True if the inpu... |
Validate the input parameters.
Args:
expression: The mathematical expression to validate.
**kwargs: Additional parameters (ignored).
Returns:
True if the input is valid, False otherwise.
| validate_input | python | nikmcfly/ANUS | anus/tools/utility/calculator.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/utility/calculator.py | MIT |
def _validate_expression(self, expression: str) -> None:
"""
Validate that an expression is safe to evaluate.
Args:
expression: The expression to validate.
Raises:
ValueError: If the expression contains unsafe elements.
"""
# ... |
Validate that an expression is safe to evaluate.
Args:
expression: The expression to validate.
Raises:
ValueError: If the expression contains unsafe elements.
| _validate_expression | python | nikmcfly/ANUS | anus/tools/utility/calculator.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/utility/calculator.py | MIT |
def _safe_math_context(self) -> Dict[str, Any]:
"""
Create a safe context for math operations.
Returns:
A dictionary with allowed mathematical functions.
"""
import math
# Allow only safe math functions
return {
"abs": abs... |
Create a safe context for math operations.
Returns:
A dictionary with allowed mathematical functions.
| _safe_math_context | python | nikmcfly/ANUS | anus/tools/utility/calculator.py | https://github.com/nikmcfly/ANUS/blob/master/anus/tools/utility/calculator.py | MIT |
def __init__(self, verbose: bool = False, config_path: str = "config.yaml"):
"""
Initialize a CLI instance.
Args:
verbose: Whether to enable verbose output.
config_path: Path to the configuration file.
"""
super().__init__()
self.verbose =... |
Initialize a CLI instance.
Args:
verbose: Whether to enable verbose output.
config_path: Path to the configuration file.
| __init__ | python | nikmcfly/ANUS | anus/ui/cli.py | https://github.com/nikmcfly/ANUS/blob/master/anus/ui/cli.py | MIT |
def display_welcome(self) -> None:
"""
Display a welcome message.
Includes a random ANUS joke to brighten your day.
"""
term_width = shutil.get_terminal_size().columns
print("=" * term_width)
print("ANUS - Autonomous Networked Utility System".cen... |
Display a welcome message.
Includes a random ANUS joke to brighten your day.
| display_welcome | python | nikmcfly/ANUS | anus/ui/cli.py | https://github.com/nikmcfly/ANUS/blob/master/anus/ui/cli.py | MIT |
def start_interactive_mode(self, orchestrator: Optional[AgentOrchestrator] = None) -> None:
"""
Start the interactive command-line interface.
Args:
orchestrator: Optional orchestrator instance. If not provided, one will be created.
"""
if orchestrator:
... |
Start the interactive command-line interface.
Args:
orchestrator: Optional orchestrator instance. If not provided, one will be created.
| start_interactive_mode | python | nikmcfly/ANUS | anus/ui/cli.py | https://github.com/nikmcfly/ANUS/blob/master/anus/ui/cli.py | MIT |
def display_result(self, result: Dict[str, Any]) -> None:
"""
Display the result of a task execution.
Args:
result: The task execution result.
"""
self.current_result = result
term_width = shutil.get_terminal_size().columns
p... |
Display the result of a task execution.
Args:
result: The task execution result.
| display_result | python | nikmcfly/ANUS | anus/ui/cli.py | https://github.com/nikmcfly/ANUS/blob/master/anus/ui/cli.py | MIT |
def do_task(self, arg: str) -> None:
"""
Execute a task.
Usage: task [mode] <task description>
Args:
arg: Task description and optional mode.
"""
# Make sure orchestrator is initialized
if not self.orchestrator:
self.orche... |
Execute a task.
Usage: task [mode] <task description>
Args:
arg: Task description and optional mode.
| do_task | python | nikmcfly/ANUS | anus/ui/cli.py | https://github.com/nikmcfly/ANUS/blob/master/anus/ui/cli.py | MIT |
def do_joke(self, arg: str) -> None:
"""
Display a random ANUS joke.
Usage: joke
"""
joke = random.choice(self._anus_jokes)
term_width = shutil.get_terminal_size().columns
print()
print("=" * term_width)
print("ANUS WISDO... |
Display a random ANUS joke.
Usage: joke
| do_joke | python | nikmcfly/ANUS | anus/ui/cli.py | https://github.com/nikmcfly/ANUS/blob/master/anus/ui/cli.py | MIT |
def emptyline(self) -> None:
"""
Handle empty lines in the CLI.
"""
# 1 in 10 chance to show a joke on empty line
if random.random() < 0.1:
print(f"ANUS is waiting... {random.choice(self._anus_jokes)}") |
Handle empty lines in the CLI.
| emptyline | python | nikmcfly/ANUS | anus/ui/cli.py | https://github.com/nikmcfly/ANUS/blob/master/anus/ui/cli.py | MIT |
def _pretty_print(self, data: Any) -> None:
"""
Pretty print data.
Args:
data: Data to print.
"""
if isinstance(data, (dict, list)):
try:
print(json.dumps(data, indent=2))
except Exception:
print(data)
... |
Pretty print data.
Args:
data: Data to print.
| _pretty_print | python | nikmcfly/ANUS | anus/ui/cli.py | https://github.com/nikmcfly/ANUS/blob/master/anus/ui/cli.py | MIT |
def get_executor(self, step_type: Optional[str] = None) -> BaseAgent:
"""
Get an appropriate executor agent for the current step.
Can be extended to select agents based on step type/requirements.
"""
# If step type is provided and matches an agent key, use that agent
if s... |
Get an appropriate executor agent for the current step.
Can be extended to select agents based on step type/requirements.
| get_executor | python | nikmcfly/ANUS | instructions/Planning Script.py | https://github.com/nikmcfly/ANUS/blob/master/instructions/Planning Script.py | MIT |
async def execute(self, input_text: str) -> str:
"""Execute the planning flow with agents."""
try:
if not self.primary_agent:
raise ValueError("No primary agent available")
# Create initial plan if input provided
if input_text:
await s... | Execute the planning flow with agents. | execute | python | nikmcfly/ANUS | instructions/Planning Script.py | https://github.com/nikmcfly/ANUS/blob/master/instructions/Planning Script.py | MIT |
async def _create_initial_plan(self, request: str) -> None:
"""Create an initial plan based on the request using the flow's LLM and PlanningTool."""
logger.info(f"Creating initial plan with ID: {self.active_plan_id}")
# Create a system message for plan creation
system_message = Message.... | Create an initial plan based on the request using the flow's LLM and PlanningTool. | _create_initial_plan | python | nikmcfly/ANUS | instructions/Planning Script.py | https://github.com/nikmcfly/ANUS/blob/master/instructions/Planning Script.py | MIT |
async def _get_current_step_info(self) -> tuple[Optional[int], Optional[dict]]:
"""
Parse the current plan to identify the first non-completed step's index and info.
Returns (None, None) if no active step is found.
"""
if (
not self.active_plan_id
or self.... |
Parse the current plan to identify the first non-completed step's index and info.
Returns (None, None) if no active step is found.
| _get_current_step_info | python | nikmcfly/ANUS | instructions/Planning Script.py | https://github.com/nikmcfly/ANUS/blob/master/instructions/Planning Script.py | MIT |
async def _execute_step(self, executor: BaseAgent, step_info: dict) -> str:
"""Execute the current step with the specified agent using agent.run()."""
# Prepare context for the agent with current plan status
plan_status = await self._get_plan_text()
step_text = step_info.get("text", f"St... | Execute the current step with the specified agent using agent.run(). | _execute_step | python | nikmcfly/ANUS | instructions/Planning Script.py | https://github.com/nikmcfly/ANUS/blob/master/instructions/Planning Script.py | MIT |
async def _mark_step_completed(self) -> None:
"""Mark the current step as completed."""
if self.current_step_index is None:
return
try:
# Mark the step as completed
await self.planning_tool.execute(
command="mark_step",
plan_id... | Mark the current step as completed. | _mark_step_completed | python | nikmcfly/ANUS | instructions/Planning Script.py | https://github.com/nikmcfly/ANUS/blob/master/instructions/Planning Script.py | MIT |
async def _get_plan_text(self) -> str:
"""Get the current plan as formatted text."""
try:
result = await self.planning_tool.execute(
command="get", plan_id=self.active_plan_id
)
return result.output if hasattr(result, "output") else str(result)
... | Get the current plan as formatted text. | _get_plan_text | python | nikmcfly/ANUS | instructions/Planning Script.py | https://github.com/nikmcfly/ANUS/blob/master/instructions/Planning Script.py | MIT |
async def _finalize_plan(self) -> str:
"""Finalize the plan and provide a summary using the flow's LLM directly."""
plan_text = await self._get_plan_text()
# Create a summary using the flow's LLM directly
try:
system_message = Message.system_message(
"You are... | Finalize the plan and provide a summary using the flow's LLM directly. | _finalize_plan | python | nikmcfly/ANUS | instructions/Planning Script.py | https://github.com/nikmcfly/ANUS/blob/master/instructions/Planning Script.py | MIT |
def depth2pts_outside(ray_o, ray_d, depth):
'''
ray_o, ray_d: [..., 3]
depth: [...]; inverse of distance to sphere origin
'''
# note: d1 becomes negative if this mid point is behind camera
d1 = -torch.sum(ray_d * ray_o, dim=-1) / torch.sum(ray_d * ray_d, dim=-1)
p_mid = ray_o + d1.unsqueeze(... |
ray_o, ray_d: [..., 3]
depth: [...]; inverse of distance to sphere origin
| depth2pts_outside | python | Kai-46/nerfplusplus | ddp_model.py | https://github.com/Kai-46/nerfplusplus/blob/master/ddp_model.py | BSD-2-Clause |
def intersect_sphere(ray_o, ray_d):
'''
ray_o, ray_d: [..., 3]
compute the depth of the intersection point between this ray and unit sphere
'''
# note: d1 becomes negative if this mid point is behind camera
d1 = -torch.sum(ray_d * ray_o, dim=-1) / torch.sum(ray_d * ray_d, dim=-1)
p = ray_o +... |
ray_o, ray_d: [..., 3]
compute the depth of the intersection point between this ray and unit sphere
| intersect_sphere | python | Kai-46/nerfplusplus | ddp_train_nerf.py | https://github.com/Kai-46/nerfplusplus/blob/master/ddp_train_nerf.py | BSD-2-Clause |
def sample_pdf(bins, weights, N_samples, det=False):
'''
:param bins: tensor of shape [..., M+1], M is the number of bins
:param weights: tensor of shape [..., M]
:param N_samples: number of samples along each ray
:param det: if True, will perform deterministic sampling
:return: [..., N_samples]... |
:param bins: tensor of shape [..., M+1], M is the number of bins
:param weights: tensor of shape [..., M]
:param N_samples: number of samples along each ray
:param det: if True, will perform deterministic sampling
:return: [..., N_samples]
| sample_pdf | python | Kai-46/nerfplusplus | ddp_train_nerf.py | https://github.com/Kai-46/nerfplusplus/blob/master/ddp_train_nerf.py | BSD-2-Clause |
def __init__(self, input_dim, max_freq_log2, N_freqs,
log_sampling=True, include_input=True,
periodic_fns=(torch.sin, torch.cos)):
'''
:param input_dim: dimension of input to be embedded
:param max_freq_log2: log2 of max freq; min freq is 1 by defaul... |
:param input_dim: dimension of input to be embedded
:param max_freq_log2: log2 of max freq; min freq is 1 by default
:param N_freqs: number of frequency bands
:param log_sampling: if True, frequency bands are linerly sampled in log-space
:param include_input: if True, raw input ... | __init__ | python | Kai-46/nerfplusplus | nerf_network.py | https://github.com/Kai-46/nerfplusplus/blob/master/nerf_network.py | BSD-2-Clause |
def forward(self, input):
'''
:param input: tensor of shape [..., self.input_dim]
:return: tensor of shape [..., self.out_dim]
'''
assert (input.shape[-1] == self.input_dim)
out = []
if self.include_input:
out.append(input)
for i in range(len... |
:param input: tensor of shape [..., self.input_dim]
:return: tensor of shape [..., self.out_dim]
| forward | python | Kai-46/nerfplusplus | nerf_network.py | https://github.com/Kai-46/nerfplusplus/blob/master/nerf_network.py | BSD-2-Clause |
def __init__(self, D=8, W=256, input_ch=3, input_ch_viewdirs=3,
skips=[4], use_viewdirs=False):
'''
:param D: network depth
:param W: network width
:param input_ch: input channels for encodings of (x, y, z)
:param input_ch_viewdirs: input channels for encodings o... |
:param D: network depth
:param W: network width
:param input_ch: input channels for encodings of (x, y, z)
:param input_ch_viewdirs: input channels for encodings of view directions
:param skips: skip connection in network
:param use_viewdirs: if True, will use the view d... | __init__ | python | Kai-46/nerfplusplus | nerf_network.py | https://github.com/Kai-46/nerfplusplus/blob/master/nerf_network.py | BSD-2-Clause |
def get_rays_single_image(H, W, intrinsics, c2w):
'''
:param H: image height
:param W: image width
:param intrinsics: 4 by 4 intrinsic matrix
:param c2w: 4 by 4 camera to world extrinsic matrix
:return:
'''
u, v = np.meshgrid(np.arange(W), np.arange(H))
u = u.reshape(-1).astype(dtyp... |
:param H: image height
:param W: image width
:param intrinsics: 4 by 4 intrinsic matrix
:param c2w: 4 by 4 camera to world extrinsic matrix
:return:
| get_rays_single_image | python | Kai-46/nerfplusplus | nerf_sample_ray_split.py | https://github.com/Kai-46/nerfplusplus/blob/master/nerf_sample_ray_split.py | BSD-2-Clause |
def random_sample(self, N_rand, center_crop=False):
'''
:param N_rand: number of rays to be casted
:return:
'''
if center_crop:
half_H = self.H // 2
half_W = self.W // 2
quad_H = half_H // 2
quad_W = half_W // 2
# pixel... |
:param N_rand: number of rays to be casted
:return:
| random_sample | python | Kai-46/nerfplusplus | nerf_sample_ray_split.py | https://github.com/Kai-46/nerfplusplus/blob/master/nerf_sample_ray_split.py | BSD-2-Clause |
def read_next_bytes(fid, num_bytes, format_char_sequence, endian_character="<"):
"""Read and unpack the next bytes from a binary file.
:param fid:
:param num_bytes: Sum of combination of {2, 4, 8}, e.g. 2, 6, 16, 30, etc.
:param format_char_sequence: List of {c, e, f, d, h, H, i, I, l, L, q, Q}.
:pa... | Read and unpack the next bytes from a binary file.
:param fid:
:param num_bytes: Sum of combination of {2, 4, 8}, e.g. 2, 6, 16, 30, etc.
:param format_char_sequence: List of {c, e, f, d, h, H, i, I, l, L, q, Q}.
:param endian_character: Any of {@, =, <, >, !}
:return: Tuple of read and unpacked val... | read_next_bytes | python | Kai-46/nerfplusplus | colmap_runner/read_write_model.py | https://github.com/Kai-46/nerfplusplus/blob/master/colmap_runner/read_write_model.py | BSD-2-Clause |
def write_next_bytes(fid, data, format_char_sequence, endian_character="<"):
"""pack and write to a binary file.
:param fid:
:param data: data to send, if multiple elements are sent at the same time,
they should be encapsuled either in a list or a tuple
:param format_char_sequence: List of {c, e, f,... | pack and write to a binary file.
:param fid:
:param data: data to send, if multiple elements are sent at the same time,
they should be encapsuled either in a list or a tuple
:param format_char_sequence: List of {c, e, f, d, h, H, i, I, l, L, q, Q}.
should be the same length as the data list or tuple... | write_next_bytes | python | Kai-46/nerfplusplus | colmap_runner/read_write_model.py | https://github.com/Kai-46/nerfplusplus/blob/master/colmap_runner/read_write_model.py | BSD-2-Clause |
def read_cameras_text(path):
"""
see: src/base/reconstruction.cc
void Reconstruction::WriteCamerasText(const std::string& path)
void Reconstruction::ReadCamerasText(const std::string& path)
"""
cameras = {}
with open(path, "r") as fid:
while True:
line = fid.readl... |
see: src/base/reconstruction.cc
void Reconstruction::WriteCamerasText(const std::string& path)
void Reconstruction::ReadCamerasText(const std::string& path)
| read_cameras_text | python | Kai-46/nerfplusplus | colmap_runner/read_write_model.py | https://github.com/Kai-46/nerfplusplus/blob/master/colmap_runner/read_write_model.py | BSD-2-Clause |
def read_cameras_binary(path_to_model_file):
"""
see: src/base/reconstruction.cc
void Reconstruction::WriteCamerasBinary(const std::string& path)
void Reconstruction::ReadCamerasBinary(const std::string& path)
"""
cameras = {}
with open(path_to_model_file, "rb") as fid:
num_c... |
see: src/base/reconstruction.cc
void Reconstruction::WriteCamerasBinary(const std::string& path)
void Reconstruction::ReadCamerasBinary(const std::string& path)
| read_cameras_binary | python | Kai-46/nerfplusplus | colmap_runner/read_write_model.py | https://github.com/Kai-46/nerfplusplus/blob/master/colmap_runner/read_write_model.py | BSD-2-Clause |
def read_images_text(path):
"""
see: src/base/reconstruction.cc
void Reconstruction::ReadImagesText(const std::string& path)
void Reconstruction::WriteImagesText(const std::string& path)
"""
images = {}
with open(path, "r") as fid:
while True:
line = fid.readline(... |
see: src/base/reconstruction.cc
void Reconstruction::ReadImagesText(const std::string& path)
void Reconstruction::WriteImagesText(const std::string& path)
| read_images_text | python | Kai-46/nerfplusplus | colmap_runner/read_write_model.py | https://github.com/Kai-46/nerfplusplus/blob/master/colmap_runner/read_write_model.py | BSD-2-Clause |
def read_images_binary(path_to_model_file):
"""
see: src/base/reconstruction.cc
void Reconstruction::ReadImagesBinary(const std::string& path)
void Reconstruction::WriteImagesBinary(const std::string& path)
"""
images = {}
with open(path_to_model_file, "rb") as fid:
num_reg_i... |
see: src/base/reconstruction.cc
void Reconstruction::ReadImagesBinary(const std::string& path)
void Reconstruction::WriteImagesBinary(const std::string& path)
| read_images_binary | python | Kai-46/nerfplusplus | colmap_runner/read_write_model.py | https://github.com/Kai-46/nerfplusplus/blob/master/colmap_runner/read_write_model.py | BSD-2-Clause |
def read_points3D_text(path):
"""
see: src/base/reconstruction.cc
void Reconstruction::ReadPoints3DText(const std::string& path)
void Reconstruction::WritePoints3DText(const std::string& path)
"""
points3D = {}
with open(path, "r") as fid:
while True:
line = fid.r... |
see: src/base/reconstruction.cc
void Reconstruction::ReadPoints3DText(const std::string& path)
void Reconstruction::WritePoints3DText(const std::string& path)
| read_points3D_text | python | Kai-46/nerfplusplus | colmap_runner/read_write_model.py | https://github.com/Kai-46/nerfplusplus/blob/master/colmap_runner/read_write_model.py | BSD-2-Clause |
def read_points3d_binary(path_to_model_file):
"""
see: src/base/reconstruction.cc
void Reconstruction::ReadPoints3DBinary(const std::string& path)
void Reconstruction::WritePoints3DBinary(const std::string& path)
"""
points3D = {}
with open(path_to_model_file, "rb") as fid:
n... |
see: src/base/reconstruction.cc
void Reconstruction::ReadPoints3DBinary(const std::string& path)
void Reconstruction::WritePoints3DBinary(const std::string& path)
| read_points3d_binary | python | Kai-46/nerfplusplus | colmap_runner/read_write_model.py | https://github.com/Kai-46/nerfplusplus/blob/master/colmap_runner/read_write_model.py | BSD-2-Clause |
def enumerate_env() -> Optional[str]:
"""
Return a path for the ${pwd}/.env file.
If pwd does not exist, return None.
"""
try:
cwd = os.getcwd()
except FileNotFoundError:
return None
path = os.path.join(cwd, '.env')
return path |
Return a path for the ${pwd}/.env file.
If pwd does not exist, return None.
| enumerate_env | python | theskumar/python-dotenv | src/dotenv/cli.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/cli.py | BSD-3-Clause |
def stream_file(path: os.PathLike) -> Iterator[IO[str]]:
"""
Open a file and yield the corresponding (decoded) stream.
Exits with error code 2 if the file cannot be opened.
"""
try:
with open(path) as stream:
yield stream
except OSError as exc:
print(f"Error opening... |
Open a file and yield the corresponding (decoded) stream.
Exits with error code 2 if the file cannot be opened.
| stream_file | python | theskumar/python-dotenv | src/dotenv/cli.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/cli.py | BSD-3-Clause |
def list(ctx: click.Context, format: bool) -> None:
"""Display all the stored key/value."""
file = ctx.obj['FILE']
with stream_file(file) as stream:
values = dotenv_values(stream=stream)
if format == 'json':
click.echo(json.dumps(values, indent=2, sort_keys=True))
else:
pre... | Display all the stored key/value. | list | python | theskumar/python-dotenv | src/dotenv/cli.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/cli.py | BSD-3-Clause |
def get(ctx: click.Context, key: Any) -> None:
"""Retrieve the value for the given key."""
file = ctx.obj['FILE']
with stream_file(file) as stream:
values = dotenv_values(stream=stream)
stored_value = values.get(key)
if stored_value:
click.echo(stored_value)
else:
exit(... | Retrieve the value for the given key. | get | python | theskumar/python-dotenv | src/dotenv/cli.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/cli.py | BSD-3-Clause |
def run(ctx: click.Context, override: bool, commandline: List[str]) -> None:
"""Run command with environment variables present."""
file = ctx.obj['FILE']
if not os.path.isfile(file):
raise click.BadParameter(
f'Invalid value for \'-f\' "{file}" does not exist.',
ctx=ctx
... | Run command with environment variables present. | run | python | theskumar/python-dotenv | src/dotenv/cli.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/cli.py | BSD-3-Clause |
def run_command(command: List[str], env: Dict[str, str]) -> None:
"""Replace the current process with the specified command.
Replaces the current process with the specified command and the variables from `env`
added in the current environment variables.
Parameters
----------
command: List[str]... | Replace the current process with the specified command.
Replaces the current process with the specified command and the variables from `env`
added in the current environment variables.
Parameters
----------
command: List[str]
The command and it's parameters
env: Dict
The additi... | run_command | python | theskumar/python-dotenv | src/dotenv/cli.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/cli.py | BSD-3-Clause |
def set_as_environment_variables(self) -> bool:
"""
Load the current dotenv as system environment variable.
"""
if not self.dict():
return False
for k, v in self.dict().items():
if k in os.environ and not self.override:
continue
... |
Load the current dotenv as system environment variable.
| set_as_environment_variables | python | theskumar/python-dotenv | src/dotenv/main.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/main.py | BSD-3-Clause |
def get_key(
dotenv_path: StrPath,
key_to_get: str,
encoding: Optional[str] = "utf-8",
) -> Optional[str]:
"""
Get the value of a given key from the given .env.
Returns `None` if the key isn't found or doesn't have a value.
"""
return DotEnv(dotenv_path, verbose=True, encoding=encoding)... |
Get the value of a given key from the given .env.
Returns `None` if the key isn't found or doesn't have a value.
| get_key | python | theskumar/python-dotenv | src/dotenv/main.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/main.py | BSD-3-Clause |
def set_key(
dotenv_path: StrPath,
key_to_set: str,
value_to_set: str,
quote_mode: str = "always",
export: bool = False,
encoding: Optional[str] = "utf-8",
) -> Tuple[Optional[bool], str, str]:
"""
Adds or Updates a key/value to the given .env
If the .env path given doesn't exist, f... |
Adds or Updates a key/value to the given .env
If the .env path given doesn't exist, fails instead of risking creating
an orphan .env somewhere in the filesystem
| set_key | python | theskumar/python-dotenv | src/dotenv/main.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/main.py | BSD-3-Clause |
def unset_key(
dotenv_path: StrPath,
key_to_unset: str,
quote_mode: str = "always",
encoding: Optional[str] = "utf-8",
) -> Tuple[Optional[bool], str]:
"""
Removes a given key from the given `.env` file.
If the .env path given doesn't exist, fails.
If the given key doesn't exist in the ... |
Removes a given key from the given `.env` file.
If the .env path given doesn't exist, fails.
If the given key doesn't exist in the .env, fails.
| unset_key | python | theskumar/python-dotenv | src/dotenv/main.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/main.py | BSD-3-Clause |
def _walk_to_root(path: str) -> Iterator[str]:
"""
Yield directories starting from the given directory up to the root
"""
if not os.path.exists(path):
raise IOError("Starting path not found")
if os.path.isfile(path):
path = os.path.dirname(path)
last_dir = None
current_dir ... |
Yield directories starting from the given directory up to the root
| _walk_to_root | python | theskumar/python-dotenv | src/dotenv/main.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/main.py | BSD-3-Clause |
def find_dotenv(
filename: str = ".env",
raise_error_if_not_found: bool = False,
usecwd: bool = False,
) -> str:
"""
Search in increasingly higher folders for the given file
Returns path to the file if found, or an empty string otherwise
"""
def _is_interactive():
"""Decide whe... |
Search in increasingly higher folders for the given file
Returns path to the file if found, or an empty string otherwise
| find_dotenv | python | theskumar/python-dotenv | src/dotenv/main.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/main.py | BSD-3-Clause |
def _is_interactive():
"""Decide whether this is running in a REPL or IPython notebook"""
if hasattr(sys, "ps1") or hasattr(sys, "ps2"):
return True
try:
main = __import__("__main__", None, None, fromlist=["__file__"])
except ModuleNotFoundError:
retur... | Decide whether this is running in a REPL or IPython notebook | _is_interactive | python | theskumar/python-dotenv | src/dotenv/main.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/main.py | BSD-3-Clause |
def load_dotenv(
dotenv_path: Optional[StrPath] = None,
stream: Optional[IO[str]] = None,
verbose: bool = False,
override: bool = False,
interpolate: bool = True,
encoding: Optional[str] = "utf-8",
) -> bool:
"""Parse a .env file and then load all the variables found as environment variables... | Parse a .env file and then load all the variables found as environment variables.
Parameters:
dotenv_path: Absolute or relative path to .env file.
stream: Text stream (such as `io.StringIO`) with .env content, used if
`dotenv_path` is `None`.
verbose: Whether to output a warning... | load_dotenv | python | theskumar/python-dotenv | src/dotenv/main.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/main.py | BSD-3-Clause |
def dotenv_values(
dotenv_path: Optional[StrPath] = None,
stream: Optional[IO[str]] = None,
verbose: bool = False,
interpolate: bool = True,
encoding: Optional[str] = "utf-8",
) -> Dict[str, Optional[str]]:
"""
Parse a .env file and return its content as a dict.
The returned dict will h... |
Parse a .env file and return its content as a dict.
The returned dict will have `None` values for keys without values in the .env file.
For example, `foo=bar` results in `{"foo": "bar"}` whereas `foo` alone results in
`{"foo": None}`
Parameters:
dotenv_path: Absolute or relative path to t... | dotenv_values | python | theskumar/python-dotenv | src/dotenv/main.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/main.py | BSD-3-Clause |
def get_cli_string(
path: Optional[str] = None,
action: Optional[str] = None,
key: Optional[str] = None,
value: Optional[str] = None,
quote: Optional[str] = None,
):
"""Returns a string suitable for running as a shell script.
Useful for converting a arguments passed to a fabric task
to ... | Returns a string suitable for running as a shell script.
Useful for converting a arguments passed to a fabric task
to be passed to a `local` or `run` command.
| get_cli_string | python | theskumar/python-dotenv | src/dotenv/__init__.py | https://github.com/theskumar/python-dotenv/blob/master/src/dotenv/__init__.py | BSD-3-Clause |
def _create_dotenv_file(self, tmp_path):
"""Helper to create a test .env file."""
dotenv_path = tmp_path / ".env"
dotenv_path.write_text("TEST=value")
return dotenv_path | Helper to create a test .env file. | _create_dotenv_file | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def _setup_subdir_and_chdir(self, tmp_path, monkeypatch):
"""Helper to create subdirectory and change to it."""
test_dir = tmp_path / "subdir"
test_dir.mkdir()
monkeypatch.chdir(test_dir)
return test_dir | Helper to create subdirectory and change to it. | _setup_subdir_and_chdir | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def _remove_ps_attributes(self, monkeypatch):
"""Helper to remove ps1/ps2 attributes if they exist."""
if hasattr(sys, "ps1"):
monkeypatch.delattr(sys, "ps1")
if hasattr(sys, "ps2"):
monkeypatch.delattr(sys, "ps2") | Helper to remove ps1/ps2 attributes if they exist. | _remove_ps_attributes | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def _mock_main_import_error(self, monkeypatch):
"""Helper to mock __main__ module import that raises ModuleNotFoundError."""
original_import = builtins.__import__
def mock_import(name, *args, **kwargs):
if name == "__main__":
raise ModuleNotFoundError("No module name... | Helper to mock __main__ module import that raises ModuleNotFoundError. | _mock_main_import_error | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_with_ps1(self, tmp_path, monkeypatch):
"""Test that _is_interactive returns True when sys.ps1 exists."""
dotenv_path = self._create_dotenv_file(tmp_path)
# Mock sys.ps1 to simulate interactive shell
monkeypatch.setattr(sys, "ps1", ">>> ", raising=False)
... | Test that _is_interactive returns True when sys.ps1 exists. | test_is_interactive_with_ps1 | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_with_ps2(self, tmp_path, monkeypatch):
"""Test that _is_interactive returns True when sys.ps2 exists."""
dotenv_path = self._create_dotenv_file(tmp_path)
# Mock sys.ps2 to simulate multi-line interactive input
monkeypatch.setattr(sys, "ps2", "... ", raising=False... | Test that _is_interactive returns True when sys.ps2 exists. | test_is_interactive_with_ps2 | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_main_module_not_found(self, tmp_path, monkeypatch):
"""Test that _is_interactive returns False when __main__ module import fails."""
self._remove_ps_attributes(monkeypatch)
self._mock_main_import_error(monkeypatch)
# Change to directory and test
monkeypat... | Test that _is_interactive returns False when __main__ module import fails. | test_is_interactive_main_module_not_found | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_main_without_file(self, tmp_path, monkeypatch):
"""Test that _is_interactive returns True when __main__ has no __file__ attribute."""
self._remove_ps_attributes(monkeypatch)
dotenv_path = self._create_dotenv_file(tmp_path)
# Mock __main__ module without __file__ ... | Test that _is_interactive returns True when __main__ has no __file__ attribute. | test_is_interactive_main_without_file | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_main_with_file(self, tmp_path, monkeypatch):
"""Test that _is_interactive returns False when __main__ has __file__ attribute."""
self._remove_ps_attributes(monkeypatch)
# Mock __main__ module with __file__ attribute
mock_main = mock.MagicMock()
mock_main.... | Test that _is_interactive returns False when __main__ has __file__ attribute. | test_is_interactive_main_with_file | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_precedence_ps1_over_main(self, tmp_path, monkeypatch):
"""Test that ps1/ps2 attributes take precedence over __main__ module check."""
dotenv_path = self._create_dotenv_file(tmp_path)
# Set ps1 attribute
monkeypatch.setattr(sys, "ps1", ">>> ", raising=False)
... | Test that ps1/ps2 attributes take precedence over __main__ module check. | test_is_interactive_precedence_ps1_over_main | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_ps1_and_ps2_both_exist(self, tmp_path, monkeypatch):
"""Test that _is_interactive returns True when both ps1 and ps2 exist."""
dotenv_path = self._create_dotenv_file(tmp_path)
# Set both ps1 and ps2 attributes
monkeypatch.setattr(sys, "ps1", ">>> ", raising=False... | Test that _is_interactive returns True when both ps1 and ps2 exist. | test_is_interactive_ps1_and_ps2_both_exist | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_main_module_with_file_attribute_none(self, tmp_path, monkeypatch):
"""Test _is_interactive when __main__ has __file__ attribute set to None."""
self._remove_ps_attributes(monkeypatch)
# Mock __main__ module with __file__ = None
mock_main = mock.MagicMock()
... | Test _is_interactive when __main__ has __file__ attribute set to None. | test_is_interactive_main_module_with_file_attribute_none | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_no_ps_attributes_and_normal_execution(self, tmp_path, monkeypatch):
"""Test normal script execution scenario where _is_interactive should return False."""
self._remove_ps_attributes(monkeypatch)
# Don't mock anything - let it use the real __main__ module
# which ... | Test normal script execution scenario where _is_interactive should return False. | test_is_interactive_no_ps_attributes_and_normal_execution | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def test_is_interactive_with_usecwd_override(self, tmp_path, monkeypatch):
"""Test that usecwd=True overrides _is_interactive behavior."""
self._remove_ps_attributes(monkeypatch)
dotenv_path = self._create_dotenv_file(tmp_path)
# Mock __main__ module with __file__ attribute (non-interac... | Test that usecwd=True overrides _is_interactive behavior. | test_is_interactive_with_usecwd_override | python | theskumar/python-dotenv | tests/test_is_interactive.py | https://github.com/theskumar/python-dotenv/blob/master/tests/test_is_interactive.py | BSD-3-Clause |
def resetall(
self, *, return_value: bool = False, side_effect: bool = False
) -> None:
"""
Call reset_mock() on all patchers started by this fixture.
:param bool return_value: Reset the return_value of mocks.
:param bool side_effect: Reset the side_effect of mocks.
... |
Call reset_mock() on all patchers started by this fixture.
:param bool return_value: Reset the return_value of mocks.
:param bool side_effect: Reset the side_effect of mocks.
| resetall | python | pytest-dev/pytest-mock | src/pytest_mock/plugin.py | https://github.com/pytest-dev/pytest-mock/blob/master/src/pytest_mock/plugin.py | MIT |
def spy(self, obj: object, name: str) -> MockType:
"""
Create a spy of method. It will run method normally, but it is now
possible to use `mock` call features with it, like call count.
:param obj: An object.
:param name: A method in object.
:return: Spy object.
"... |
Create a spy of method. It will run method normally, but it is now
possible to use `mock` call features with it, like call count.
:param obj: An object.
:param name: A method in object.
:return: Spy object.
| spy | python | pytest-dev/pytest-mock | src/pytest_mock/plugin.py | https://github.com/pytest-dev/pytest-mock/blob/master/src/pytest_mock/plugin.py | MIT |
def stub(self, name: Optional[str] = None) -> unittest.mock.MagicMock:
"""
Create a stub method. It accepts any arguments. Ideal to register to
callbacks in tests.
:param name: the constructed stub's name as used in repr
:return: Stub object.
"""
return cast(
... |
Create a stub method. It accepts any arguments. Ideal to register to
callbacks in tests.
:param name: the constructed stub's name as used in repr
:return: Stub object.
| stub | python | pytest-dev/pytest-mock | src/pytest_mock/plugin.py | https://github.com/pytest-dev/pytest-mock/blob/master/src/pytest_mock/plugin.py | MIT |
def async_stub(self, name: Optional[str] = None) -> AsyncMockType:
"""
Create a async stub method. It accepts any arguments. Ideal to register to
callbacks in tests.
:param name: the constructed stub's name as used in repr
:return: Stub object.
"""
return cast(
... |
Create a async stub method. It accepts any arguments. Ideal to register to
callbacks in tests.
:param name: the constructed stub's name as used in repr
:return: Stub object.
| async_stub | python | pytest-dev/pytest-mock | src/pytest_mock/plugin.py | https://github.com/pytest-dev/pytest-mock/blob/master/src/pytest_mock/plugin.py | MIT |
def _start_patch(
self, mock_func: Any, warn_on_mock_enter: bool, *args: Any, **kwargs: Any
) -> MockType:
"""Patches something by calling the given function from the mock
module, registering the patch to stop it later and returns the
mock object resulting from th... | Patches something by calling the given function from the mock
module, registering the patch to stop it later and returns the
mock object resulting from the mock call.
| _start_patch | python | pytest-dev/pytest-mock | src/pytest_mock/plugin.py | https://github.com/pytest-dev/pytest-mock/blob/master/src/pytest_mock/plugin.py | MIT |
def context_manager(
self,
target: builtins.object,
attribute: str,
new: builtins.object = DEFAULT,
spec: Optional[builtins.object] = None,
create: bool = False,
spec_set: Optional[builtins.object] = None,
autospec: Optional... | This is equivalent to mock.patch.object except that the returned mock
does not issue a warning when used as a context manager. | context_manager | python | pytest-dev/pytest-mock | src/pytest_mock/plugin.py | https://github.com/pytest-dev/pytest-mock/blob/master/src/pytest_mock/plugin.py | MIT |
def _mocker(pytestconfig: Any) -> Generator[MockerFixture, None, None]:
"""
Return an object that has the same interface to the `mock` module, but
takes care of automatically undoing all patches after each test method.
"""
result = MockerFixture(pytestconfig)
yield result
result.stopall() |
Return an object that has the same interface to the `mock` module, but
takes care of automatically undoing all patches after each test method.
| _mocker | python | pytest-dev/pytest-mock | src/pytest_mock/plugin.py | https://github.com/pytest-dev/pytest-mock/blob/master/src/pytest_mock/plugin.py | MIT |
def wrap_assert_methods(config: Any) -> None:
"""
Wrap assert methods of mock module so we can hide their traceback and
add introspection information to specified argument asserts.
"""
# Make sure we only do this once
if _mock_module_originals:
return
mock_module = get_mock_module(c... |
Wrap assert methods of mock module so we can hide their traceback and
add introspection information to specified argument asserts.
| wrap_assert_methods | python | pytest-dev/pytest-mock | src/pytest_mock/plugin.py | https://github.com/pytest-dev/pytest-mock/blob/master/src/pytest_mock/plugin.py | MIT |
def get_mock_module(config):
"""
Import and return the actual "mock" module. By default this is
"unittest.mock", but the user can force to always use "mock" using
the mock_use_standalone_module ini option.
"""
global _mock_module
if _mock_module is None:
use_standalone_module = parse... |
Import and return the actual "mock" module. By default this is
"unittest.mock", but the user can force to always use "mock" using
the mock_use_standalone_module ini option.
| get_mock_module | python | pytest-dev/pytest-mock | src/pytest_mock/_util.py | https://github.com/pytest-dev/pytest-mock/blob/master/src/pytest_mock/_util.py | MIT |
def needs_assert_rewrite(pytestconfig):
"""
Fixture which skips requesting test if assertion rewrite is disabled (#102)
Making this a fixture to avoid accessing pytest's config in the global context.
"""
option = pytestconfig.getoption("assertmode")
if option != "rewrite":
pytest.skip(
... |
Fixture which skips requesting test if assertion rewrite is disabled (#102)
Making this a fixture to avoid accessing pytest's config in the global context.
| needs_assert_rewrite | python | pytest-dev/pytest-mock | tests/test_pytest_mock.py | https://github.com/pytest-dev/pytest-mock/blob/master/tests/test_pytest_mock.py | MIT |
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