Merge branch 'master' into fix-force-docker-pull

Author: mr-c

typeshed/2and3/graphviz/__init__.pyi

@@ -0,0 +1,12 @@
+# Stubs for graphviz (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+# from .backend import ENGINES as ENGINES, ExecutableNotFound as ExecutableNotFound, FORMATS as FORMATS, pipe as pipe, render as render, version as version, view as view
+# from .dot import Digraph as Digraph, Graph as Graph
+# from .files import Source as Source
+# from .lang import nohtml as nohtml
+
+# ENGINES = ENGINES
+# FORMATS = FORMATS
+# ExecutableNotFound = ExecutableNotFound

typeshed/2and3/graphviz/_compat.pyi

@@ -0,0 +1,14 @@
+# Stubs for graphviz._compat (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+from typing import Any
+
+PY2: Any
+string_classes: Any
+text_type = unicode
+
+def iteritems(d): ...
+def makedirs(name, mode: int = ..., exist_ok: bool = ...): ...
+def stderr_write_binary(data): ...
+text_type = str

typeshed/2and3/graphviz/backend.pyi

@@ -0,0 +1,11 @@
+# Stubs for graphviz.backend (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+class ExecutableNotFound(RuntimeError):
+    def __init__(self, args) -> None: ...
+
+def render(engine, format, filepath, quiet: bool = ...): ...
+def pipe(engine, format, data, quiet: bool = ...): ...
+def version(): ...
+def view(filepath): ...

typeshed/2and3/graphviz/dot.pyi

@@ -0,0 +1,39 @@
+# Stubs for graphviz.dot (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+from . import files
+from typing import Any, Optional
+
+class Dot(files.File):
+    name: Any = ...
+    comment: Any = ...
+    graph_attr: Any = ...
+    node_attr: Any = ...
+    edge_attr: Any = ...
+    body: Any = ...
+    strict: Any = ...
+    def __init__(self, name: Optional[Any] = ..., comment: Optional[Any] = ..., filename: Optional[Any] = ..., directory: Optional[Any] = ..., format: Optional[Any] = ..., engine: Optional[Any] = ..., encoding: Any = ..., graph_attr: Optional[Any] = ..., node_attr: Optional[Any] = ..., edge_attr: Optional[Any] = ..., body: Optional[Any] = ..., strict: bool = ...) -> None: ...
+    def clear(self, keep_attrs: bool = ...): ...
+    def __iter__(self, subgraph: bool = ...): ...
+    source: Any = ...
+    def node(self, name, label: Optional[Any] = ..., _attributes: Optional[Any] = ..., **attrs): ...
+    def edge(self, tail_name, head_name, label: Optional[Any] = ..., _attributes: Optional[Any] = ..., **attrs): ...
+    def edges(self, tail_head_iter): ...
+    def attr(self, kw: Optional[Any] = ..., _attributes: Optional[Any] = ..., **attrs): ...
+    def subgraph(self, graph: Optional[Any] = ..., name: Optional[Any] = ..., comment: Optional[Any] = ..., graph_attr: Optional[Any] = ..., node_attr: Optional[Any] = ..., edge_attr: Optional[Any] = ..., body: Optional[Any] = ...): ...
+
+class SubgraphContext:
+    parent: Any = ...
+    graph: Any = ...
+    def __init__(self, parent, kwargs) -> None: ...
+    def __enter__(self): ...
+    def __exit__(self, type_, value, traceback): ...
+
+class Graph(Dot):
+    @property
+    def directed(self): ...
+
+class Digraph(Dot):
+    @property
+    def directed(self): ...

typeshed/2and3/graphviz/files.pyi

@@ -0,0 +1,40 @@
+# Stubs for graphviz.files (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+from typing import Any, Optional
+
+class Base:
+    @property
+    def format(self): ...
+    @format.setter
+    def format(self, format): ...
+    @property
+    def engine(self): ...
+    @engine.setter
+    def engine(self, engine): ...
+    @property
+    def encoding(self): ...
+    @encoding.setter
+    def encoding(self, encoding): ...
+    def copy(self): ...
+
+class File(Base):
+    directory: str = ...
+    filename: Any = ...
+    format: Any = ...
+    engine: Any = ...
+    encoding: Any = ...
+    def __init__(self, filename: Optional[Any] = ..., directory: Optional[Any] = ..., format: Optional[Any] = ..., engine: Optional[Any] = ..., encoding: Any = ...) -> None: ...
+    def pipe(self, format: Optional[Any] = ...): ...
+    @property
+    def filepath(self): ...
+    def save(self, filename: Optional[Any] = ..., directory: Optional[Any] = ...): ...
+    def render(self, filename: Optional[Any] = ..., directory: Optional[Any] = ..., view: bool = ..., cleanup: bool = ...): ...
+    def view(self, filename: Optional[Any] = ..., directory: Optional[Any] = ..., cleanup: bool = ...): ...
+
+class Source(File):
+    @classmethod
+    def from_file(cls, filename, directory: Optional[Any] = ..., format: Optional[Any] = ..., engine: Optional[Any] = ..., encoding: Any = ...): ...
+    source: Any = ...
+    def __init__(self, source, filename: Optional[Any] = ..., directory: Optional[Any] = ..., format: Optional[Any] = ..., engine: Optional[Any] = ..., encoding: Any = ...) -> None: ...

typeshed/2and3/graphviz/lang.pyi

@@ -0,0 +1,12 @@
+# Stubs for graphviz.lang (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+from typing import Any, Optional
+
+def quote(identifier, html: Any = ..., valid_id: Any = ..., dot_keywords: Any = ...): ...
+def quote_edge(identifier): ...
+def a_list(label: Optional[Any] = ..., kwargs: Optional[Any] = ..., attributes: Optional[Any] = ...): ...
+def attr_list(label: Optional[Any] = ..., kwargs: Optional[Any] = ..., attributes: Optional[Any] = ...): ...
+
+class NoHtml: ...

typeshed/2and3/graphviz/tools.pyi

@@ -0,0 +1,9 @@
+# Stubs for graphviz.tools (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+from typing import Any
+
+def attach(object, name): ...
+def mkdirs(filename, mode: int = ...): ...
+def mapping_items(mapping, _iteritems: Any = ...): ...

typeshed/2and3/networkx/__init__.pyi

@@ -0,0 +1,10 @@
+# Stubs for networkx (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+from typing import Any
+
+m: str
+__license__: Any
+__date__: Any
+__bibtex__: str

typeshed/2and3/networkx/algorithms/__init__.pyi

@@ -0,0 +1,54 @@
+# Stubs for networkx.algorithms (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+from networkx.algorithms.assortativity import *
+from networkx.algorithms.boundary import *
+from networkx.algorithms.bridges import *
+from networkx.algorithms.chains import *
+from networkx.algorithms.centrality import *
+from networkx.algorithms.chordal import *
+from networkx.algorithms.cluster import *
+from networkx.algorithms.clique import *
+from networkx.algorithms.communicability_alg import *
+from networkx.algorithms.components import *
+from networkx.algorithms.coloring import *
+from networkx.algorithms.core import *
+from networkx.algorithms.covering import *
+from networkx.algorithms.cycles import *
+from networkx.algorithms.cuts import *
+from networkx.algorithms.dag import *
+from networkx.algorithms.distance_measures import *
+from networkx.algorithms.distance_regular import *
+from networkx.algorithms.dominance import *
+from networkx.algorithms.dominating import *
+from networkx.algorithms.efficiency import *
+from networkx.algorithms.euler import *
+from networkx.algorithms.graphical import *
+from networkx.algorithms.hierarchy import *
+from networkx.algorithms.hybrid import *
+from networkx.algorithms.link_analysis import *
+from networkx.algorithms.link_prediction import *
+from networkx.algorithms.lowest_common_ancestors import *
+from networkx.algorithms.isolate import *
+from networkx.algorithms.matching import *
+from networkx.algorithms.minors import *
+from networkx.algorithms.mis import *
+from networkx.algorithms.operators import *
+from networkx.algorithms.reciprocity import *
+from networkx.algorithms.richclub import *
+from networkx.algorithms.shortest_paths import *
+from networkx.algorithms.similarity import *
+from networkx.algorithms.simple_paths import *
+from networkx.algorithms.smetric import *
+from networkx.algorithms.structuralholes import *
+from networkx.algorithms.triads import *
+from networkx.algorithms.swap import *
+from networkx.algorithms.traversal import *
+from networkx.algorithms.vitality import *
+from networkx.algorithms.voronoi import *
+from networkx.algorithms.wiener import *
+from networkx.algorithms.tree.coding import *
+from networkx.algorithms.tree.operations import *
+from networkx.algorithms.tree.recognition import *
+from networkx.algorithms.tree.mst import *

typeshed/2and3/networkx/algorithms/approximation/__init__.pyi

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+# Stubs for networkx.algorithms.approximation (Python 3.5)
+#
+# NOTE: This dynamically typed stub was automatically generated by stubgen.
+
+from networkx.algorithms.approximation.clustering_coefficient import *
+from networkx.algorithms.approximation.clique import *
+from networkx.algorithms.approximation.connectivity import *
+from networkx.algorithms.approximation.dominating_set import *
+from networkx.algorithms.approximation.kcomponents import *
+from networkx.algorithms.approximation.independent_set import *
+from networkx.algorithms.approximation.matching import *
+from networkx.algorithms.approximation.ramsey import *
+from networkx.algorithms.approximation.steinertree import *
+from networkx.algorithms.approximation.vertex_cover import *