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train | JNISimProcedure._load_from_native_memory | Load from native memory.
:param addr: Native load address.
:param data_type: Java type of elements.
If set, all loaded elements are casted to this type.
:param data_size: Size of each element.
If not set, siz... | angr/procedures/java_jni/__init__.py | def _load_from_native_memory(self, addr, data_type=None, data_size=None,
no_of_elements=1, return_as_list=False):
"""
Load from native memory.
:param addr: Native load address.
:param data_type: Java type of elements.
... | def _load_from_native_memory(self, addr, data_type=None, data_size=None,
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"""
Load from native memory.
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train | JNISimProcedure._load_string_from_native_memory | Load zero terminated UTF-8 string from native memory.
:param addr_: Native load address.
:return: Loaded string. | angr/procedures/java_jni/__init__.py | def _load_string_from_native_memory(self, addr_):
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Load zero terminated UTF-8 string from native memory.
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train | JNISimProcedure._store_string_in_native_memory | Store given string UTF-8 encoded and zero terminated in native memory.
:param str string: String
:param addr: Native store address.
If not set, native memory is allocated.
:return: Native address of the string. | angr/procedures/java_jni/__init__.py | def _store_string_in_native_memory(self, string, addr=None):
"""
Store given string UTF-8 encoded and zero terminated in native memory.
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:param addr: Native store address.
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:retur... | def _store_string_in_native_memory(self, string, addr=None):
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train | JNISimProcedure._normalize_array_idx | In Java, all array indices are represented by a 32 bit integer and
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train | HookSet.install_hooks | Given the target `target`, apply the hooks given as keyword arguments to it.
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:param target: The object from which to remove hooks. If all hooks are removed from a given method, the
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Remove the given hooks from the given target.
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train | GraphVisitor.reset | Reset the internal node traversal state. Must be called prior to visiting future nodes.
:return: None | angr/analyses/forward_analysis.py | def reset(self):
"""
Reset the internal node traversal state. Must be called prior to visiting future nodes.
:return: None
"""
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train | GraphVisitor.all_successors | Returns all successors to the specific node.
:param node: A node in the graph.
:return: A set of nodes that are all successors to the given node.
:rtype: set | angr/analyses/forward_analysis.py | def all_successors(self, node, skip_reached_fixedpoint=False):
"""
Returns all successors to the specific node.
:param node: A node in the graph.
:return: A set of nodes that are all successors to the given node.
:rtype: set
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successors = set()
... | def all_successors(self, node, skip_reached_fixedpoint=False):
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train | GraphVisitor.revisit | Revisit a node in the future. As a result, the successors to this node will be revisited as well.
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:return: None | angr/analyses/forward_analysis.py | def revisit(self, node, include_self=True):
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train | JobInfo.add_job | Appended a new job to this JobInfo node.
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:param bool merged: Whether it is a merged job or not.
:param bool widened: Whether it is a widened job or not. | angr/analyses/forward_analysis.py | def add_job(self, job, merged=False, widened=False):
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:param job: The new job to append.
:param bool merged: Whether it is a merged job or not.
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Appended a new job to this JobInfo node.
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train | ForwardAnalysis.has_job | Checks whether there exists another job which has the same job key.
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"""
Checks whether there exists another job which has the same job key.
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train | ForwardAnalysis._analyze | The main analysis routine.
:return: None | angr/analyses/forward_analysis.py | def _analyze(self):
"""
The main analysis routine.
:return: None
"""
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train | ForwardAnalysis._add_input_state | Add the input state to all successors of the given node.
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train | ForwardAnalysis._pop_input_state | Get the input abstract state for this node, and remove it from the state map.
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Get abstract states for all predecessors of the node, merge them, and return the merged state.
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:return: A merged state, or None if no predecessor is available.
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Get abstract states for all predecessors of the node, merge them, and return the merged state.
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Return the job currently at position `pos`, but still keep it in the job queue. An IndexError will be raised
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Insert an element into a sorted list, and keep the list sorted.
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train | SimSymbolicMemory.merge | Merge this SimMemory with the other SimMemory | angr/state_plugins/symbolic_memory.py | def merge(self, others, merge_conditions, common_ancestor=None): # pylint: disable=unused-argument
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Merge this SimMemory with the other SimMemory
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Merge this SimMemory with the other SimMemory
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train | SimSymbolicMemory.make_symbolic | Replaces `length` bytes starting at `addr` with a symbolic variable named name. Adds a constraint equaling that
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train | SimSymbolicMemory._apply_concretization_strategies | Applies concretization strategies on the address until one of them succeeds. | angr/state_plugins/symbolic_memory.py | def _apply_concretization_strategies(self, addr, strategies, action):
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Applies concretization strategies on the address until one of them succeeds.
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train | SimSymbolicMemory.concretize_write_addr | Concretizes an address meant for writing.
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Concretizes an address meant for writing.
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Concretizes an address meant for writing.
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train | SimSymbolicMemory.concretize_read_addr | Concretizes an address meant for reading.
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Concretizes an address meant for reading.
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train | SimSymbolicMemory.dbg_print | Print out debugging information. | angr/state_plugins/symbolic_memory.py | def dbg_print(self, indent=0):
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Print out debugging information.
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:param permissions: Integer or BVV to optionally set page permissions to
:return: AST representing the permissions on the page | angr/state_plugins/symbolic_memory.py | def permissions(self, addr, permissions=None):
"""
Retrieve the permissions of the page at address `addr`.
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train | SimSymbolicMemory.map_region | Map a number of pages at address `addr` with permissions `permissions`.
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:param length: length in bytes of region to map, will be rounded upwards to the page size
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Perform execution using any applicable engine. Enumerate the current engines and use the
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train | AngrObjectFactory.call_state | Returns a state object initialized to the start of a given function, as if it were called with given parameters.
:param addr: The address the state should start at instead of the entry point.
:param args: Any additional positional arguments will be used as arguments to the functio... | angr/factory.py | def call_state(self, addr, *args, **kwargs):
"""
Returns a state object initialized to the start of a given function, as if it were called with given parameters.
:param addr: The address the state should start at instead of the entry point.
:param args: Any additio... | def call_state(self, addr, *args, **kwargs):
"""
Returns a state object initialized to the start of a given function, as if it were called with given parameters.
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train | AngrObjectFactory.simulation_manager | Constructs a new simulation manager.
:param thing: Optional - What to put in the new SimulationManager's active stash (either a SimState or a list of SimStates).
:param kwargs: Any additional keyword arguments will be passed to the SimulationManager constructor
:returns: ... | angr/factory.py | def simulation_manager(self, thing=None, **kwargs):
"""
Constructs a new simulation manager.
:param thing: Optional - What to put in the new SimulationManager's active stash (either a SimState or a list of SimStates).
:param kwargs: Any additional keyword arguments wi... | def simulation_manager(self, thing=None, **kwargs):
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Constructs a new simulation manager.
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train | AngrObjectFactory.callable | A Callable is a representation of a function in the binary that can be interacted with like a native python
function.
:param addr: The address of the function to use
:param concrete_only: Throw an exception if the execution splits into multiple states
:param perform_merge: ... | angr/factory.py | def callable(self, addr, concrete_only=False, perform_merge=True, base_state=None, toc=None, cc=None):
"""
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... | def callable(self, addr, concrete_only=False, perform_merge=True, base_state=None, toc=None, cc=None):
"""
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train | AngrObjectFactory.cc | Return a SimCC (calling convention) parametrized for this project and, optionally, a given function.
:param args: A list of argument storage locations, as SimFunctionArguments.
:param ret_val: The return value storage location, as a SimFunctionArgument.
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"""
Return a SimCC (calling convention) parametrized for this project and, optionally, a given function.
:param args: A list of argument storage locations, as SimFunctionArguments.
:param ret_val: The return ... | def cc(self, args=None, ret_val=None, sp_delta=None, func_ty=None):
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Return a SimCC (calling convention) parametrized for this project and, optionally, a given function.
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train | AngrObjectFactory.cc_from_arg_kinds | Get a SimCC (calling convention) that will extract floating-point/integral args correctly.
:param arch: The Archinfo arch for this CC
:param fp_args: A list, with one entry for each argument the function can take. True if the argument is fp,
false if it is integra... | angr/factory.py | def cc_from_arg_kinds(self, fp_args, ret_fp=None, sizes=None, sp_delta=None, func_ty=None):
"""
Get a SimCC (calling convention) that will extract floating-point/integral args correctly.
:param arch: The Archinfo arch for this CC
:param fp_args: A list, with one entry for eac... | def cc_from_arg_kinds(self, fp_args, ret_fp=None, sizes=None, sp_delta=None, func_ty=None):
"""
Get a SimCC (calling convention) that will extract floating-point/integral args correctly.
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train | Function.blocks | An iterator of all local blocks in the current function.
:return: angr.lifter.Block instances. | angr/knowledge_plugins/functions/function.py | def blocks(self):
"""
An iterator of all local blocks in the current function.
:return: angr.lifter.Block instances.
"""
for block_addr, block in self._local_blocks.items():
try:
yield self._get_block(block_addr, size=block.size,
... | def blocks(self):
"""
An iterator of all local blocks in the current function.
:return: angr.lifter.Block instances.
"""
for block_addr, block in self._local_blocks.items():
try:
yield self._get_block(block_addr, size=block.size,
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train | Function.operations | All of the operations that are done by this functions. | angr/knowledge_plugins/functions/function.py | def operations(self):
"""
All of the operations that are done by this functions.
"""
return [op for block in self.blocks for op in block.vex.operations] | def operations(self):
"""
All of the operations that are done by this functions.
"""
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train | Function.code_constants | All of the constants that are used by this functions's code. | angr/knowledge_plugins/functions/function.py | def code_constants(self):
"""
All of the constants that are used by this functions's code.
"""
# TODO: remove link register values
return [const.value for block in self.blocks for const in block.vex.constants] | def code_constants(self):
"""
All of the constants that are used by this functions's code.
"""
# TODO: remove link register values
return [const.value for block in self.blocks for const in block.vex.constants] | [
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train | Function.string_references | All of the constant string references used by this function.
:param minimum_length: The minimum length of strings to find (default is 1)
:param vex_only: Only analyze VEX IR, don't interpret the entry state to detect additional constants.
:return: A list of tuples of (add... | angr/knowledge_plugins/functions/function.py | def string_references(self, minimum_length=2, vex_only=False):
"""
All of the constant string references used by this function.
:param minimum_length: The minimum length of strings to find (default is 1)
:param vex_only: Only analyze VEX IR, don't interpret the entry state to de... | def string_references(self, minimum_length=2, vex_only=False):
"""
All of the constant string references used by this function.
:param minimum_length: The minimum length of strings to find (default is 1)
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train | Function.local_runtime_values | Tries to find all runtime values of this function which do not come from inputs.
These values are generated by starting from a blank state and reanalyzing the basic blocks once each.
Function calls are skipped, and back edges are never taken so these values are often unreliable,
This function is... | angr/knowledge_plugins/functions/function.py | def local_runtime_values(self):
"""
Tries to find all runtime values of this function which do not come from inputs.
These values are generated by starting from a blank state and reanalyzing the basic blocks once each.
Function calls are skipped, and back edges are never taken so these v... | def local_runtime_values(self):
"""
Tries to find all runtime values of this function which do not come from inputs.
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train | Function.runtime_values | All of the concrete values used by this function at runtime (i.e., including passed-in arguments and global
values). | angr/knowledge_plugins/functions/function.py | def runtime_values(self):
"""
All of the concrete values used by this function at runtime (i.e., including passed-in arguments and global
values).
"""
constants = set()
for b in self.block_addrs:
for sirsb in self._function_manager._cfg.get_all_irsbs(b):
... | def runtime_values(self):
"""
All of the concrete values used by this function at runtime (i.e., including passed-in arguments and global
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"""
constants = set()
for b in self.block_addrs:
for sirsb in self._function_manager._cfg.get_all_irsbs(b):
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train | Function.binary | Get the object this function belongs to.
:return: The object this function belongs to. | angr/knowledge_plugins/functions/function.py | def binary(self):
"""
Get the object this function belongs to.
:return: The object this function belongs to.
"""
return self._project.loader.find_object_containing(self.addr, membership_check=False) | def binary(self):
"""
Get the object this function belongs to.
:return: The object this function belongs to.
"""
return self._project.loader.find_object_containing(self.addr, membership_check=False) | [
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train | Function.add_jumpout_site | Add a custom jumpout site.
:param node: The address of the basic block that control flow leaves during this transition.
:return: None | angr/knowledge_plugins/functions/function.py | def add_jumpout_site(self, node):
"""
Add a custom jumpout site.
:param node: The address of the basic block that control flow leaves during this transition.
:return: None
"""
self._register_nodes(True, node)
self._jumpout_sites.add(node)
self.... | def add_jumpout_site(self, node):
"""
Add a custom jumpout site.
:param node: The address of the basic block that control flow leaves during this transition.
:return: None
"""
self._register_nodes(True, node)
self._jumpout_sites.add(node)
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train | Function.add_retout_site | Add a custom retout site.
Retout (returning to outside of the function) sites are very rare. It mostly occurs during CFG recovery when we
incorrectly identify the beginning of a function in the first iteration, and then correctly identify that
function later in the same iteration (function alig... | angr/knowledge_plugins/functions/function.py | def add_retout_site(self, node):
"""
Add a custom retout site.
Retout (returning to outside of the function) sites are very rare. It mostly occurs during CFG recovery when we
incorrectly identify the beginning of a function in the first iteration, and then correctly identify that
... | def add_retout_site(self, node):
"""
Add a custom retout site.
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incorrectly identify the beginning of a function in the first iteration, and then correctly identify that
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train | Function._get_initial_name | Determine the most suitable name of the function.
:return: The initial function name.
:rtype: string | angr/knowledge_plugins/functions/function.py | def _get_initial_name(self):
"""
Determine the most suitable name of the function.
:return: The initial function name.
:rtype: string
"""
name = None
addr = self.addr
# Try to get a name from existing labels
if self._function_manager is n... | def _get_initial_name(self):
"""
Determine the most suitable name of the function.
:return: The initial function name.
:rtype: string
"""
name = None
addr = self.addr
# Try to get a name from existing labels
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train | Function._get_initial_binary_name | Determine the name of the binary where this function is.
:return: None | angr/knowledge_plugins/functions/function.py | def _get_initial_binary_name(self):
"""
Determine the name of the binary where this function is.
:return: None
"""
binary_name = None
# if this function is a simprocedure but not a syscall, use its library name as
# its binary name
# if it is a syscall,... | def _get_initial_binary_name(self):
"""
Determine the name of the binary where this function is.
:return: None
"""
binary_name = None
# if this function is a simprocedure but not a syscall, use its library name as
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train | Function._get_initial_returning | Determine if this function returns or not *if it is hooked by a SimProcedure or a user hook*.
:return: True if the hooker returns, False otherwise.
:rtype: bool | angr/knowledge_plugins/functions/function.py | def _get_initial_returning(self):
"""
Determine if this function returns or not *if it is hooked by a SimProcedure or a user hook*.
:return: True if the hooker returns, False otherwise.
:rtype: bool
"""
hooker = None
if self.is_syscall:
hooker... | def _get_initial_returning(self):
"""
Determine if this function returns or not *if it is hooked by a SimProcedure or a user hook*.
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:rtype: bool
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hooker = None
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train | Function._transit_to | Registers an edge between basic blocks in this function's transition graph.
Arguments are CodeNode objects.
:param from_node The address of the basic block that control
flow leaves during this transition.
:param to_node The address of ... | angr/knowledge_plugins/functions/function.py | def _transit_to(self, from_node, to_node, outside=False, ins_addr=None, stmt_idx=None):
"""
Registers an edge between basic blocks in this function's transition graph.
Arguments are CodeNode objects.
:param from_node The address of the basic block that control
... | def _transit_to(self, from_node, to_node, outside=False, ins_addr=None, stmt_idx=None):
"""
Registers an edge between basic blocks in this function's transition graph.
Arguments are CodeNode objects.
:param from_node The address of the basic block that control
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train | Function._call_to | Registers an edge between the caller basic block and callee function.
:param from_addr: The basic block that control flow leaves during the transition.
:type from_addr: angr.knowledge.CodeNode
:param to_func: The function that we are calling
:type to_func: Function
... | angr/knowledge_plugins/functions/function.py | def _call_to(self, from_node, to_func, ret_node, stmt_idx=None, ins_addr=None, return_to_outside=False):
"""
Registers an edge between the caller basic block and callee function.
:param from_addr: The basic block that control flow leaves during the transition.
:type from_addr: angr... | def _call_to(self, from_node, to_func, ret_node, stmt_idx=None, ins_addr=None, return_to_outside=False):
"""
Registers an edge between the caller basic block and callee function.
:param from_addr: The basic block that control flow leaves during the transition.
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train | Function._add_return_site | Registers a basic block as a site for control flow to return from this function.
:param CodeNode return_site: The block node that ends with a return. | angr/knowledge_plugins/functions/function.py | def _add_return_site(self, return_site):
"""
Registers a basic block as a site for control flow to return from this function.
:param CodeNode return_site: The block node that ends with a return.
"""
self._register_nodes(True, return_site)
self._ret_sites.add(return_... | def _add_return_site(self, return_site):
"""
Registers a basic block as a site for control flow to return from this function.
:param CodeNode return_site: The block node that ends with a return.
"""
self._register_nodes(True, return_site)
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train | Function._add_call_site | Registers a basic block as calling a function and returning somewhere.
:param call_site_addr: The address of a basic block that ends in a call.
:param call_target_addr: The address of the target of said call.
:param retn_addr: The address that said call will return to. | angr/knowledge_plugins/functions/function.py | def _add_call_site(self, call_site_addr, call_target_addr, retn_addr):
"""
Registers a basic block as calling a function and returning somewhere.
:param call_site_addr: The address of a basic block that ends in a call.
:param call_target_addr: The address of the target of said... | def _add_call_site(self, call_site_addr, call_target_addr, retn_addr):
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Registers a basic block as calling a function and returning somewhere.
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train | Function.mark_nonreturning_calls_endpoints | Iterate through all call edges in transition graph. For each call a non-returning function, mark the source
basic block as an endpoint.
This method should only be executed once all functions are recovered and analyzed by CFG recovery, so we know
whether each function returns or not.
:r... | angr/knowledge_plugins/functions/function.py | def mark_nonreturning_calls_endpoints(self):
"""
Iterate through all call edges in transition graph. For each call a non-returning function, mark the source
basic block as an endpoint.
This method should only be executed once all functions are recovered and analyzed by CFG recovery, so ... | def mark_nonreturning_calls_endpoints(self):
"""
Iterate through all call edges in transition graph. For each call a non-returning function, mark the source
basic block as an endpoint.
This method should only be executed once all functions are recovered and analyzed by CFG recovery, so ... | [
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train | Function.graph | Return a local transition graph that only contain nodes in current function. | angr/knowledge_plugins/functions/function.py | def graph(self):
"""
Return a local transition graph that only contain nodes in current function.
"""
if self._local_transition_graph is not None:
return self._local_transition_graph
g = networkx.DiGraph()
if self.startpoint is not None:
g.add_no... | def graph(self):
"""
Return a local transition graph that only contain nodes in current function.
"""
if self._local_transition_graph is not None:
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g = networkx.DiGraph()
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train | Function.subgraph | Generate a sub control flow graph of instruction addresses based on self.graph
:param iterable ins_addrs: A collection of instruction addresses that should be included in the subgraph.
:return: A subgraph.
:rtype: networkx.DiGraph | angr/knowledge_plugins/functions/function.py | def subgraph(self, ins_addrs):
"""
Generate a sub control flow graph of instruction addresses based on self.graph
:param iterable ins_addrs: A collection of instruction addresses that should be included in the subgraph.
:return: A subgraph.
:rtype: networkx.DiGraph
"""
... | def subgraph(self, ins_addrs):
"""
Generate a sub control flow graph of instruction addresses based on self.graph
:param iterable ins_addrs: A collection of instruction addresses that should be included in the subgraph.
:return: A subgraph.
:rtype: networkx.DiGraph
"""
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train | Function.instruction_size | Get the size of the instruction specified by `insn_addr`.
:param int insn_addr: Address of the instruction
:return: Size of the instruction in bytes, or None if the instruction is not found.
:rtype: int | angr/knowledge_plugins/functions/function.py | def instruction_size(self, insn_addr):
"""
Get the size of the instruction specified by `insn_addr`.
:param int insn_addr: Address of the instruction
:return: Size of the instruction in bytes, or None if the instruction is not found.
:rtype: int
"""
for b in sel... | def instruction_size(self, insn_addr):
"""
Get the size of the instruction specified by `insn_addr`.
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:return: Size of the instruction in bytes, or None if the instruction is not found.
:rtype: int
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train | Function.dbg_draw | Draw the graph and save it to a PNG file. | angr/knowledge_plugins/functions/function.py | def dbg_draw(self, filename):
"""
Draw the graph and save it to a PNG file.
"""
import matplotlib.pyplot as pyplot # pylint: disable=import-error
from networkx.drawing.nx_agraph import graphviz_layout # pylint: disable=import-error
tmp_graph = networkx.DiGraph()
... | def dbg_draw(self, filename):
"""
Draw the graph and save it to a PNG file.
"""
import matplotlib.pyplot as pyplot # pylint: disable=import-error
from networkx.drawing.nx_agraph import graphviz_layout # pylint: disable=import-error
tmp_graph = networkx.DiGraph()
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train | Function._add_argument_register | Registers a register offset as being used as an argument to the function.
:param reg_offset: The offset of the register to register. | angr/knowledge_plugins/functions/function.py | def _add_argument_register(self, reg_offset):
"""
Registers a register offset as being used as an argument to the function.
:param reg_offset: The offset of the register to register.
"""
if reg_offset in self._function_manager._arg_registers and \
re... | def _add_argument_register(self, reg_offset):
"""
Registers a register offset as being used as an argument to the function.
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"""
if reg_offset in self._function_manager._arg_registers and \
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train | Function.normalize | Make sure all basic blocks in the transition graph of this function do not overlap. You will end up with a CFG
that IDA Pro generates.
This method does not touch the CFG result. You may call CFG{Emulated, Fast}.normalize() for that matter.
:return: None | angr/knowledge_plugins/functions/function.py | def normalize(self):
"""
Make sure all basic blocks in the transition graph of this function do not overlap. You will end up with a CFG
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This method does not touch the CFG result. You may call CFG{Emulated, Fast}.normalize() for that matter.
:return: None... | def normalize(self):
"""
Make sure all basic blocks in the transition graph of this function do not overlap. You will end up with a CFG
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train | Function.find_declaration | Find the most likely function declaration from the embedded collection of prototypes, set it to self.prototype,
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:return: None | angr/knowledge_plugins/functions/function.py | def find_declaration(self):
"""
Find the most likely function declaration from the embedded collection of prototypes, set it to self.prototype,
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:return: None
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# determine the library name
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train | CallStack._rfind | Reverse look-up.
:param list lst: The list to look up in.
:param item: The item to look for.
:return: Offset of the item if found. A ValueError is raised if the item is not in the list.
:rtype: int | angr/state_plugins/callstack.py | def _rfind(lst, item):
"""
Reverse look-up.
:param list lst: The list to look up in.
:param item: The item to look for.
:return: Offset of the item if found. A ValueError is raised if the item is not in the list.
:rtype: int
"""
try:
return d... | def _rfind(lst, item):
"""
Reverse look-up.
:param list lst: The list to look up in.
:param item: The item to look for.
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:rtype: int
"""
try:
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train | CallStack.push | Push the frame cf onto the stack. Return the new stack. | angr/state_plugins/callstack.py | def push(self, cf):
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Push the frame cf onto the stack. Return the new stack.
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cf.next = self
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"""
Push the frame cf onto the stack. Return the new stack.
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train | CallStack.pop | Pop the top frame from the stack. Return the new stack. | angr/state_plugins/callstack.py | def pop(self):
"""
Pop the top frame from the stack. Return the new stack.
"""
if self.next is None:
raise SimEmptyCallStackError("Cannot pop a frame from an empty call stack.")
new_list = self.next.copy({})
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"""
Pop the top frame from the stack. Return the new stack.
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if self.next is None:
raise SimEmptyCallStackError("Cannot pop a frame from an empty call stack.")
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train | CallStack.call | Push a stack frame into the call stack. This method is called when calling a function in CFG recovery.
:param int callsite_addr: Address of the call site
:param int addr: Address of the call target
:param int or None retn_target: Address of the return target
:param int stack_pointer: Va... | angr/state_plugins/callstack.py | def call(self, callsite_addr, addr, retn_target=None, stack_pointer=None):
"""
Push a stack frame into the call stack. This method is called when calling a function in CFG recovery.
:param int callsite_addr: Address of the call site
:param int addr: Address of the call target
:p... | def call(self, callsite_addr, addr, retn_target=None, stack_pointer=None):
"""
Push a stack frame into the call stack. This method is called when calling a function in CFG recovery.
:param int callsite_addr: Address of the call site
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train | CallStack.ret | Pop one or many call frames from the stack. This method is called when returning from a function in CFG
recovery.
:param int retn_target: The target to return to.
:return: None | angr/state_plugins/callstack.py | def ret(self, retn_target=None):
"""
Pop one or many call frames from the stack. This method is called when returning from a function in CFG
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:param int retn_target: The target to return to.
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Pop one or many call frames from the stack. This method is called when returning from a function in CFG
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train | CallStack.dbg_repr | Debugging representation of this CallStack object.
:return: Details of this CalLStack
:rtype: str | angr/state_plugins/callstack.py | def dbg_repr(self):
"""
Debugging representation of this CallStack object.
:return: Details of this CalLStack
:rtype: str
"""
stack = [ ]
for i, frame in enumerate(self):
s = "%d | %s -> %s, returning to %s" % (
i,
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"""
Debugging representation of this CallStack object.
:return: Details of this CalLStack
:rtype: str
"""
stack = [ ]
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s = "%d | %s -> %s, returning to %s" % (
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train | CallStack.stack_suffix | Generate the stack suffix. A stack suffix can be used as the key to a SimRun in CFG recovery.
:param int context_sensitivity_level: Level of context sensitivity.
:return: A tuple of stack suffix.
:rtype: tuple | angr/state_plugins/callstack.py | def stack_suffix(self, context_sensitivity_level):
"""
Generate the stack suffix. A stack suffix can be used as the key to a SimRun in CFG recovery.
:param int context_sensitivity_level: Level of context sensitivity.
:return: A tuple of stack suffix.
:rtype: tuple
"""
... | def stack_suffix(self, context_sensitivity_level):
"""
Generate the stack suffix. A stack suffix can be used as the key to a SimRun in CFG recovery.
:param int context_sensitivity_level: Level of context sensitivity.
:return: A tuple of stack suffix.
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train | CallStack._find_return_target | Check if the return target exists in the stack, and return the index if exists. We always search from the most
recent call stack frame since the most recent frame has a higher chance to be hit in normal CFG recovery.
:param int target: Target of the return.
:return: The index of the object
... | angr/state_plugins/callstack.py | def _find_return_target(self, target):
"""
Check if the return target exists in the stack, and return the index if exists. We always search from the most
recent call stack frame since the most recent frame has a higher chance to be hit in normal CFG recovery.
:param int target: Target o... | def _find_return_target(self, target):
"""
Check if the return target exists in the stack, and return the index if exists. We always search from the most
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train | update_stock_codes | 获取所有股票 ID 到 all_stock_code 目录下 | easyquotation/helpers.py | def update_stock_codes():
"""获取所有股票 ID 到 all_stock_code 目录下"""
all_stock_codes_url = "http://www.shdjt.com/js/lib/astock.js"
grep_stock_codes = re.compile(r"~(\d+)`")
response = requests.get(all_stock_codes_url)
all_stock_codes = grep_stock_codes.findall(response.text)
with open(stock_code_path(... | def update_stock_codes():
"""获取所有股票 ID 到 all_stock_code 目录下"""
all_stock_codes_url = "http://www.shdjt.com/js/lib/astock.js"
grep_stock_codes = re.compile(r"~(\d+)`")
response = requests.get(all_stock_codes_url)
all_stock_codes = grep_stock_codes.findall(response.text)
with open(stock_code_path(... | [
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train | get_stock_codes | 获取所有股票 ID 到 all_stock_code 目录下 | easyquotation/helpers.py | def get_stock_codes(realtime=False):
"""获取所有股票 ID 到 all_stock_code 目录下"""
if realtime:
all_stock_codes_url = "http://www.shdjt.com/js/lib/astock.js"
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response = requests.get(all_stock_codes_url)
stock_codes = grep_stock_codes.findall(respo... | def get_stock_codes(realtime=False):
"""获取所有股票 ID 到 all_stock_code 目录下"""
if realtime:
all_stock_codes_url = "http://www.shdjt.com/js/lib/astock.js"
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response = requests.get(all_stock_codes_url)
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train | BaseQuotation.real | return specific stocks real quotation
:param stock_codes: stock code or list of stock code,
when prefix is True, stock code must start with sh/sz
:param prefix: if prefix i True, stock_codes must contain sh/sz market
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... | easyquotation/basequotation.py | def real(self, stock_codes, prefix=False):
"""return specific stocks real quotation
:param stock_codes: stock code or list of stock code,
when prefix is True, stock code must start with sh/sz
:param prefix: if prefix i True, stock_codes must contain sh/sz market
flag.... | def real(self, stock_codes, prefix=False):
"""return specific stocks real quotation
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train | BaseQuotation.market_snapshot | return all market quotation snapshot
:param prefix: if prefix is True, return quotation dict's stock_code
key start with sh/sz market flag | easyquotation/basequotation.py | def market_snapshot(self, prefix=False):
"""return all market quotation snapshot
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key start with sh/sz market flag
"""
return self.get_stock_data(self.stock_list, prefix=prefix) | def market_snapshot(self, prefix=False):
"""return all market quotation snapshot
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return self.get_stock_data(self.stock_list, prefix=prefix) | [
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train | BaseQuotation.get_stock_data | 获取并格式化股票信息 | easyquotation/basequotation.py | def get_stock_data(self, stock_list, **kwargs):
"""获取并格式化股票信息"""
res = self._fetch_stock_data(stock_list)
return self.format_response_data(res, **kwargs) | def get_stock_data(self, stock_list, **kwargs):
"""获取并格式化股票信息"""
res = self._fetch_stock_data(stock_list)
return self.format_response_data(res, **kwargs) | [
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train | BaseQuotation._fetch_stock_data | 获取股票信息 | easyquotation/basequotation.py | def _fetch_stock_data(self, stock_list):
"""获取股票信息"""
pool = multiprocessing.pool.ThreadPool(len(stock_list))
try:
res = pool.map(self.get_stocks_by_range, stock_list)
finally:
pool.close()
return [d for d in res if d is not None] | def _fetch_stock_data(self, stock_list):
"""获取股票信息"""
pool = multiprocessing.pool.ThreadPool(len(stock_list))
try:
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pool.close()
return [d for d in res if d is not None] | [
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train | TimeKline._fetch_stock_data | 因为 timekline 的返回没有带对应的股票代码，所以要手动带上 | easyquotation/timekline.py | def _fetch_stock_data(self, stock_list):
"""因为 timekline 的返回没有带对应的股票代码，所以要手动带上"""
res = super()._fetch_stock_data(stock_list)
with_stock = []
for stock, resp in zip(stock_list, res):
if resp is not None:
with_stock.append((stock, resp))
return with_st... | def _fetch_stock_data(self, stock_list):
"""因为 timekline 的返回没有带对应的股票代码，所以要手动带上"""
res = super()._fetch_stock_data(stock_list)
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train | Jsl.formatfundajson | 格式化集思录返回的json数据,以字典形式保存 | easyquotation/jsl.py | def formatfundajson(fundajson):
"""格式化集思录返回的json数据,以字典形式保存"""
result = {}
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funda_id = row["id"]
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"""格式化集思录返回的json数据,以字典形式保存"""
result = {}
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funda_id = row["id"]
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train | Jsl.formatfundbjson | 格式化集思录返回的json数据,以字典形式保存 | easyquotation/jsl.py | def formatfundbjson(fundbjson):
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cell = row["cell"]
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"""格式化集思录返回的json数据,以字典形式保存"""
result = {}
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cell = row["cell"]
fundb_id = cell["fundb_id"]
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train | Jsl.formatetfindexjson | 格式化集思录返回 指数ETF 的json数据,以字典形式保存 | easyquotation/jsl.py | def formatetfindexjson(fundbjson):
"""格式化集思录返回 指数ETF 的json数据,以字典形式保存"""
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for row in fundbjson["rows"]:
cell = row["cell"]
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result = {}
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train | Jsl.funda | 以字典形式返回分级A数据
:param fields:利率范围，形如['+3.0%', '6.0%']
:param min_volume:最小交易量，单位万元
:param min_discount:最小折价率, 单位%
:param ignore_nodown:是否忽略无下折品种,默认 False
:param forever: 是否选择永续品种,默认 False | easyquotation/jsl.py | def funda(
self,
fields=None,
min_volume=0,
min_discount=0,
ignore_nodown=False,
forever=False,
):
"""以字典形式返回分级A数据
:param fields:利率范围，形如['+3.0%', '6.0%']
:param min_volume:最小交易量，单位万元
:param min_discount:最小折价率, 单位%
:param ignore_... | def funda(
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min_volume=0,
min_discount=0,
ignore_nodown=False,
forever=False,
):
"""以字典形式返回分级A数据
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:param min_volume:最小交易量，单位万元
:param min_discount:最小折价率, 单位%
:param ignore_... | [
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train | Jsl.fundm | 以字典形式返回分级母基数据 | easyquotation/jsl.py | def fundm(self):
"""以字典形式返回分级母基数据
"""
# 添加当前的ctime
self.__fundm_url = self.__fundm_url.format(ctime=int(time.time()))
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rep = requests.get(self.__fundm_url)
# 获取返回的json字符串
fundmjson = json.loads(rep.text)
# 格式化返回的json字符串
data = self.fo... | def fundm(self):
"""以字典形式返回分级母基数据
"""
# 添加当前的ctime
self.__fundm_url = self.__fundm_url.format(ctime=int(time.time()))
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rep = requests.get(self.__fundm_url)
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fundmjson = json.loads(rep.text)
# 格式化返回的json字符串
data = self.fo... | [
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train | Jsl.fundb | 以字典形式返回分级B数据
:param fields:利率范围，形如['+3.0%', '6.0%']
:param min_volume:最小交易量，单位万元
:param min_discount:最小折价率, 单位%
:param forever: 是否选择永续品种,默认 False | easyquotation/jsl.py | def fundb(self, fields=None, min_volume=0, min_discount=0, forever=False):
"""以字典形式返回分级B数据
:param fields:利率范围，形如['+3.0%', '6.0%']
:param min_volume:最小交易量，单位万元
:param min_discount:最小折价率, 单位%
:param forever: 是否选择永续品种,默认 False
"""
if fields is None:
field... | def fundb(self, fields=None, min_volume=0, min_discount=0, forever=False):
"""以字典形式返回分级B数据
:param fields:利率范围，形如['+3.0%', '6.0%']
:param min_volume:最小交易量，单位万元
:param min_discount:最小折价率, 单位%
:param forever: 是否选择永续品种,默认 False
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train | Jsl.fundarb | 以字典形式返回分级A数据
:param jsl_username: 集思录用户名
:param jsl_password: 集思路登录密码
:param avolume: A成交额，单位百万
:param bvolume: B成交额，单位百万
:param ptype: 溢价计算方式，price=现价，buy=买一，sell=卖一 | easyquotation/jsl.py | def fundarb(
self,
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avolume=100,
bvolume=100,
ptype="price",
):
"""以字典形式返回分级A数据
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:param jsl_password: 集思路登录密码
:param avolume: A成交额，单位百万
:param bvolume: B成交额，单位百万
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avolume=100,
bvolume=100,
ptype="price",
):
"""以字典形式返回分级A数据
:param jsl_username: 集思录用户名
:param jsl_password: 集思路登录密码
:param avolume: A成交额，单位百万
:param bvolume: B成交额，单位百万
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train | Jsl.etfindex | 以字典形式返回 指数ETF 数据
:param index_id: 获取指定的指数
:param min_volume: 最小成交量
:param min_discount: 最低溢价率, 适用于溢价套利, 格式 "-1.2%", "-1.2", -0.012 三种均可
:param max_discount: 最高溢价率, 适用于折价套利, 格式 "-1.2%", "-1.2", -0.012 三种均可
:return: {"fund_id":{}} | easyquotation/jsl.py | def etfindex(
self, index_id="", min_volume=0, max_discount=None, min_discount=None
):
"""
以字典形式返回 指数ETF 数据
:param index_id: 获取指定的指数
:param min_volume: 最小成交量
:param min_discount: 最低溢价率, 适用于溢价套利, 格式 "-1.2%", "-1.2", -0.012 三种均可
:param max_discount: 最高溢价率, 适用于折价... | def etfindex(
self, index_id="", min_volume=0, max_discount=None, min_discount=None
):
"""
以字典形式返回 指数ETF 数据
:param index_id: 获取指定的指数
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train | Jsl.qdii | 以字典形式返回QDII数据
:param min_volume:最小交易量，单位万元 | easyquotation/jsl.py | def qdii(self, min_volume=0):
"""以字典形式返回QDII数据
:param min_volume:最小交易量，单位万元
"""
# 添加当前的ctime
self.__qdii_url = self.__qdii_url.format(ctime=int(time.time()))
# 请求数据
rep = requests.get(self.__qdii_url)
# 获取返回的json字符串
fundjson = json.loads(rep.text)
... | def qdii(self, min_volume=0):
"""以字典形式返回QDII数据
:param min_volume:最小交易量，单位万元
"""
# 添加当前的ctime
self.__qdii_url = self.__qdii_url.format(ctime=int(time.time()))
# 请求数据
rep = requests.get(self.__qdii_url)
# 获取返回的json字符串
fundjson = json.loads(rep.text)
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train | Jsl.cb | 以字典形式返回QDII数据
:param min_volume:最小交易量，单位万元 | easyquotation/jsl.py | def cb(self, min_volume=0):
"""以字典形式返回QDII数据
:param min_volume:最小交易量，单位万元
"""
# 添加当前的ctime
self.__cb_url = self.__cb_url.format(ctime=int(time.time()))
# 请求数据
rep = requests.get(self.__cb_url)
# 获取返回的json字符串
fundjson = json.loads(rep.text)
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# 添加当前的ctime
self.__cb_url = self.__cb_url.format(ctime=int(time.time()))
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rep = requests.get(self.__cb_url)
# 获取返回的json字符串
fundjson = json.loads(rep.text)
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train | Plugin.update | Update current date/time. | glances/plugins/glances_now.py | def update(self):
"""Update current date/time."""
# Had to convert it to string because datetime is not JSON serializable
self.stats = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
# Add the time zone (issue #1249 and issue #1337)
if 'tmzone' in localtime():
self.stats... | def update(self):
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# Had to convert it to string because datetime is not JSON serializable
self.stats = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
# Add the time zone (issue #1249 and issue #1337)
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train | Plugin.msg_curse | Return the string to display in the curse interface. | glances/plugins/glances_now.py | def msg_curse(self, args=None, max_width=None):
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ret = []
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train | GlancesWebList.load | Load the web list from the configuration file. | glances/web_list.py | def load(self, config):
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web_list = []
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train | GlancesWebList.set_server | Set the key to the value for the pos (position in the list). | glances/web_list.py | def set_server(self, pos, key, value):
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train | Plugin.update | Update sensors stats using the input method. | glances/plugins/glances_sensors.py | def update(self):
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# Init new stats
stats = self.get_init_value()
if self.input_method == 'local':
# Update stats using the dedicated lib
stats = []
# Get the temperature
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train | Plugin.__set_type | Set the plugin type.
4 types of stats is possible in the sensors plugin:
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- Fan speed: 'fan_speed'
- HDD temperature: 'temperature_hdd'
- Battery capacity: 'battery' | glances/plugins/glances_sensors.py | def __set_type(self, stats, sensor_type):
"""Set the plugin type.
4 types of stats is possible in the sensors plugin:
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- Fan speed: 'fan_speed'
- HDD temperature: 'temperature_hdd'
- Battery capacity: 'battery'
"""
fo... | def __set_type(self, stats, sensor_type):
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train | Plugin.msg_curse | Return the dict to display in the curse interface. | glances/plugins/glances_sensors.py | def msg_curse(self, args=None, max_width=None):
"""Return the dict to display in the curse interface."""
# Init the return message
ret = []
# Only process if stats exist and display plugin enable...
if not self.stats or self.is_disable():
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ret = []
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train | GlancesGrabSensors.build_sensors_list | Build the sensors list depending of the type.
type: SENSOR_TEMP_UNIT or SENSOR_FAN_UNIT
output: a list | glances/plugins/glances_sensors.py | def build_sensors_list(self, type):
"""Build the sensors list depending of the type.
type: SENSOR_TEMP_UNIT or SENSOR_FAN_UNIT
output: a list
"""
ret = []
if type == SENSOR_TEMP_UNIT and self.init_temp:
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self.stemps = psut... | def build_sensors_list(self, type):
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ret = []
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train | GlancesGrabSensors.get | Get sensors list. | glances/plugins/glances_sensors.py | def get(self, sensor_type='temperature_core'):
"""Get sensors list."""
self.__update__()
if sensor_type == 'temperature_core':
ret = [s for s in self.sensors_list if s['unit'] == SENSOR_TEMP_UNIT]
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ret = [s for s in self.sensors_list if s['unit'] == SENSOR_TEMP_UNIT]
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train | GlancesServer.add_user | Add an user to the dictionary. | glances/server.py | def add_user(self, username, password):
"""Add an user to the dictionary."""
self.server.user_dict[username] = password
self.server.isAuth = True | def add_user(self, username, password):
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train | GlancesServer.serve_forever | Call the main loop. | glances/server.py | def serve_forever(self):
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train | GlancesServer.end | End of the Glances server session. | glances/server.py | def end(self):
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self.autodiscover_client.close()
self.server.end() | def end(self):
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train | GlancesThresholds.get | Return the threshold dict.
If stat_name is None, return the threshold for all plugins (dict of Threshold*)
Else return the Threshold* instance for the given plugin | glances/thresholds.py | def get(self, stat_name=None):
"""Return the threshold dict.
If stat_name is None, return the threshold for all plugins (dict of Threshold*)
Else return the Threshold* instance for the given plugin
"""
if stat_name is None:
return self._thresholds
if stat_nam... | def get(self, stat_name=None):
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"""
if stat_name is None:
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train | GlancesThresholds.add | Add a new threshold to the dict (key = stat_name) | glances/thresholds.py | def add(self, stat_name, threshold_description):
"""Add a new threshold to the dict (key = stat_name)"""
if threshold_description not in self.threshold_list:
return False
else:
self._thresholds[stat_name] = getattr(self.current_module,
... | def add(self, stat_name, threshold_description):
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return False
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self._thresholds[stat_name] = getattr(self.current_module,
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train | Export.init | Init the connection to the rabbitmq server. | glances/exports/glances_rabbitmq.py | def init(self):
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if not self.export_enable:
return None
try:
parameters = pika.URLParameters(
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train | Export.export | Write the points in RabbitMQ. | glances/exports/glances_rabbitmq.py | def export(self, name, columns, points):
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data = ('hostname=' + self.hostname + ', name=' + name +
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for i in range(len(columns)):
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train | normalize | Normalize name for the Statsd convention | glances/exports/glances_statsd.py | def normalize(name):
"""Normalize name for the Statsd convention"""
# Name should not contain some specials chars (issue #1068)
ret = name.replace(':', '')
ret = ret.replace('%', '')
ret = ret.replace(' ', '_')
return ret | def normalize(name):
"""Normalize name for the Statsd convention"""
# Name should not contain some specials chars (issue #1068)
ret = name.replace(':', '')
ret = ret.replace('%', '')
ret = ret.replace(' ', '_')
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train | Export.init | Init the connection to the Statsd server. | glances/exports/glances_statsd.py | def init(self):
"""Init the connection to the Statsd server."""
if not self.export_enable:
return None
logger.info(
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r... | def init(self):
"""Init the connection to the Statsd server."""
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return None
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] | nicolargo/glances | python | https://github.com/nicolargo/glances/blob/5bd4d587a736e0d2b03170b56926841d2a3eb7ee/glances/exports/glances_statsd.py#L60-L69 | [
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... | 5bd4d587a736e0d2b03170b56926841d2a3eb7ee |
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