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Update requirements for numpy 2
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This won't work until scikit-allel is numpy 2.0 compatible. See cggh/scikit-allel#415
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hyanwong committed Jul 11, 2024
1 parent 15ed49b commit a59c716
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Showing 4 changed files with 12 additions and 12 deletions.
4 changes: 2 additions & 2 deletions _config.yml
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Expand Up @@ -35,12 +35,12 @@ sphinx:
config:
html_theme: sphinx_book_theme
html_theme_options:
pygment_dark_style: monokai
pygments_dark_style: monokai
todo_include_todos: true
intersphinx_mapping:
py: ["https://docs.python.org/3", null]
tskit: ["https://tskit.dev/tskit/docs/stable", null]
tszip: ["https://tszip.readthedocs.io/en/stable/", null]
tszip: ["https://tskit.dev/tszip/docs/latest/", null]
msprime: ["https://tskit.dev/msprime/docs/stable", null]
pyslim: ["https://tskit.dev/pyslim/docs/stable", null]
numpy: ["https://numpy.org/doc/stable/", null]
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2 changes: 1 addition & 1 deletion args.md
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Expand Up @@ -312,7 +312,7 @@ difference between some classical ARG formulations, and the ARG formulation
used in `tskit`. Classically, nodes in an ARG are taken to represent _events_
(specifically, "common ancestor", "recombination", and "sampling" events),
and genomic regions of inheritance are encoded by storing a specific breakpoint location on
each recombination node. In contrast, [nodes](tskit:sec_data_model_definitions_node) in a `tskit`
each recombination node. In contrast, {ref}`nodes<tskit:sec_data_model_definitions_node>` in a `tskit`
ARG correspond to _genomes_. More crucially, inherited regions are defined by intervals
stored on *edges* (via the {attr}`~Edge.left` and {attr}`~Edge.right` properties),
rather than on nodes. Here, for example, is the edge table from our ARG:
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2 changes: 1 addition & 1 deletion counting_topologies.md
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Expand Up @@ -51,7 +51,7 @@ def create_notebook_data():
This tutorial is intended to be a gentle introduction to the combinatorial
treatment of tree topologies in `tskit`. For a more formal introduction,
see the {ref}`sec_combinatorics` section of the
[official `tskit` documentation](tskit:sec_introduction).
official `tskit` {ref}`documentation<tskit:sec_introduction>`.

The *topology* of a single tree is the term used to describe the branching pattern,
regardless of the lengths of the branches. For example, both trees below have the
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16 changes: 8 additions & 8 deletions requirements-CI.txt
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@@ -1,16 +1,16 @@
git+https://github.com/tskit-dev/tsconvert@e99c837e4e26ccbf4f480a4c48626338eeff7dc3
demes==0.2.3
demesdraw==0.4.0
jupyter-book==0.15.1
jupyter-book==1.0.2
jupyter-cache==0.6.1
msprime==1.2.0
networkx==3.1
pandas==2.1.1
pygraphviz==1.10
scikit-allel==1.3.7
msprime==1.3.2
networkx==3.3
pandas==2.2.2
pygraphviz==1.13
scikit-allel==1.3.8
stdpopsim==0.2.0
tqdm==4.66.3
tskit==0.5.5
tskit==0.5.8
tskit_arg_visualizer==0.0.1
tszip==0.2.2
tszip==0.2.4
jsonschema==4.18.6 # Pinned due to 4.19 "AttributeError module jsonschema has no attribute _validators"

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