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version bump to 0.9.0
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README.md

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cityseer
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========
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[![Build Status](https://travis-ci.com/cityseer/cityseer.svg?branch=master)](https://travis-ci.com/cityseer/cityseer)
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[![Actions Status](https://github.com/cityseer/cityseer/workflows/publish%20package/badge.svg)](https://github.com/cityseer/cityseer/actions)
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[![Actions Status](https://github.com/cityseer/cityseer/workflows/publish%20docs/badge.svg)](https://github.com/cityseer/cityseer/actions)
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`cityseer` is a collection of computational tools for fine-grained network and land-use analysis, useful for assessing the morphological precursors to vibrant neighbourhoods. It is underpinned by rigorous network-based methods that have been developed from the ground-up specifically for hyperlocal analysis at the pedestrian scale.
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docs/intro.md

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Code tests are run against `python 3.7`.
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[![Build Status](https://travis-ci.com/cityseer/cityseer.svg?branch=master)](https://travis-ci.com/cityseer/cityseer)
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[![Actions Status](https://github.com/cityseer/cityseer/workflows/publish%20package/badge.svg)](https://github.com/cityseer/cityseer/actions)
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[![Actions Status](https://github.com/cityseer/cityseer/workflows/publish%20docs/badge.svg)](https://github.com/cityseer/cityseer/actions)
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Quickstart
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----------

package.json

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"standard": "14.3.1",
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"vuepress": "1.1.0",
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"vuepress-plugin-mathjax": "1.2.8",
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"vuepress-theme-cityseer": "0.5.4"
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"vuepress-theme-cityseer": "0.6.0"
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}
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}

setup.py

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setup (
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name = 'cityseer',
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version='0.9.0.dev14',
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version='0.9.0',
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packages=['cityseer', 'cityseer.algos', 'cityseer.metrics', 'cityseer.util'],
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description = 'Computational tools for urban analysis',
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url='https://github.com/cityseer/cityseer',

tests/algos/test_data.py

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mock_numerical[stats_idx][connected_data_idx].var())
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#TODO: add more extensive tests if / when publishing this function
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def test_model_singly_constrained():
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import networkx as nx
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j_assigned, netw_flows = data.singly_constrained(node_map, edge_map, distances, betas, pop_map, landuse_map, pop, lu)
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assert np.sum(j_assigned) == np.sum(pop)
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print(j_assigned)
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print(netw_flows)
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assert np.allclose(j_assigned, [[ 0, 0, 0, 0, 15]])
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assert np.allclose(netw_flows, [[3, 6, 9, 12, 15]])

yarn.lock

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mathjax3 "3.0.0-beta.3"
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vuepress-mergeable "^1.0.2"
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vuepress-theme-cityseer@0.5.4:
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version "0.5.4"
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resolved "https://registry.yarnpkg.com/vuepress-theme-cityseer/-/vuepress-theme-cityseer-0.5.4.tgz#8c19cd78db1f3c76bdd953cba65655216bcbf80f"
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integrity sha512-yeYrEWWHGapEpK9efCeeLZwCc3+z16aulvCyBXzSLrRBidVVBFbN/38w8Tpv8/6Beithpa3ILCGVe06Q2qQ2cA==
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vuepress-theme-cityseer@0.6.0:
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version "0.6.0"
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resolved "https://registry.yarnpkg.com/vuepress-theme-cityseer/-/vuepress-theme-cityseer-0.6.0.tgz#8c53156a0595e0c603463a30c2e387bba2a99613"
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integrity sha512-u875UuQkXF5YzSyZQ3AbkXXsIckKugOi7mVvoQSGUSyjoCuMIXtyt9MescTo0m+v2oPSdlbNM5ZyZMzFTXMJVg==
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dependencies:
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"@vuepress/plugin-back-to-top" "1.1.0"
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"@vuepress/theme-default" "1.1.0"

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