From ffe37f3015f11569a136ac74c00e234ea28e1d0e Mon Sep 17 00:00:00 2001 From: Christopher Michel Date: Sun, 25 Aug 2019 00:17:14 -0400 Subject: [PATCH] MAINT: Bump version of numpy --- .appveyor.yml | 6 +++--- etc/requirements.txt | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.appveyor.yml b/.appveyor.yml index cb9efe5aeb..d616cc29d6 100644 --- a/.appveyor.yml +++ b/.appveyor.yml @@ -20,7 +20,7 @@ environment: PYTHON_ARCH: "64" PANDAS_VERSION: "0.18.1" - NUMPY_VERSION: "1.11.3" + NUMPY_VERSION: "1.15.0" SCIPY_VERSION: "0.17.1" matrix: @@ -32,7 +32,7 @@ environment: - PYTHON_VERSION: "3.5" PANDAS_VERSION: "0.22.0" - NUMPY_VERSION: "1.14.1" + NUMPY_VERSION: "1.15.0" SCIPY_VERSION: "1.0.0" PANDAS_DATAREADER_VERSION: "0.4.0" DASK_VERSION: "0.17.1" @@ -94,7 +94,7 @@ install: - ps: $env:PYTABLES_VERSION=(sls "tables==(.*)" .\etc\requirements.txt -ca).matches.groups[1].value - ps: $env:H5PY_VERSION=(sls "h5py==(.*)" .\etc\requirements.txt -ca).matches.groups[1].value - ps: $env:TALIB_VERSION=(sls "TA-Lib==(.*)" .\etc\requirements_talib.txt -ca).matches.groups[1].value - # We conda install certifi at the pinned exact version because it is a transitive dependency of zipline via requests and uses distutils for packaging. + # We conda install certifi at the pinned exact version because it is a transitive dependency of zipline via requests and uses distutils for packaging. # Since conda installs latest certifi by default, we would fail to uninstall that new version when trying to install the pinned version using pip later in the build: # "Cannot uninstall 'certifi'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall." - ps: $env:CERTIFI_VERSION=(sls "certifi==(.*)" .\etc\requirements.txt -ca).matches.groups[1].value diff --git a/etc/requirements.txt b/etc/requirements.txt index c574668e7d..3db5d557ed 100644 --- a/etc/requirements.txt +++ b/etc/requirements.txt @@ -9,7 +9,7 @@ Logbook==0.12.5 # Scientific Libraries pytz==2018.5 -numpy==1.11.3 +numpy==1.15.0 # for pandas-datareader requests-file==1.4.1