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Guilherme Beltramini
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DOC: Standardize spelling of "macOS"
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-8
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.github/workflows/macos-windows.yml

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@@ -1,4 +1,4 @@
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name: Windows-MacOS
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name: Windows-macOS
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on:
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push:

pandas/io/clipboard/__init__.py

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@@ -538,7 +538,7 @@ def determine_clipboard():
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if which("wslconfig.exe"):
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return init_wsl_clipboard()
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# Setup for the MAC OS X platform:
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# Setup for the macOS platform:
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if os.name == "mac" or platform.system() == "Darwin":
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try:
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import AppKit
@@ -587,7 +587,7 @@ def set_clipboard(clipboard):
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the copy() and paste() functions interact with the operating system to
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implement the copy/paste feature. The clipboard parameter must be one of:
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- pbcopy
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- pyobjc (default on Mac OS X)
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- pyobjc (default on macOS)
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- qt
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- xclip
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- xsel

pandas/tests/io/conftest.py

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@@ -69,14 +69,14 @@ def s3_base(worker_id):
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os.environ.setdefault("AWS_SECRET_ACCESS_KEY", "foobar_secret")
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if is_ci_environment():
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if is_platform_arm() or is_platform_mac() or is_platform_windows():
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# NOT RUN on Windows/MacOS/ARM, only Ubuntu
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# NOT RUN on Windows/macOS/ARM, only Ubuntu
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# - subprocess in CI can cause timeouts
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# - Github Actions do not support
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# container services for the above OSs
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# - CircleCI will probably hit the Docker rate pull limit
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pytest.skip(
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"S3 tests do not have a corresponding service in "
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"Windows, MacOS or ARM platforms"
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"Windows, macOS or ARM platforms"
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)
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else:
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yield "http://localhost:5000"

pandas/tests/window/test_numba.py

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@@ -22,7 +22,7 @@
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is_ci_environment() and (is_platform_windows() or is_platform_mac()),
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reason="On GHA CI, Windows can fail with "
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"'Windows fatal exception: stack overflow' "
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"and MacOS can timeout",
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"and macOS can timeout",
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)
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pandas/tests/window/test_online.py

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@@ -19,7 +19,7 @@
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is_ci_environment() and (is_platform_windows() or is_platform_mac()),
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reason="On GHA CI, Windows can fail with "
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"'Windows fatal exception: stack overflow' "
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"and MacOS can timeout",
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"and macOS can timeout",
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)
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web/pandas/getting_started.md

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@@ -29,7 +29,7 @@ the [advanced installation page]({{ base_url}}/docs/getting_started/install.html
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Detailed instructions on how to install Anaconda can be found in the
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[Anaconda documentation](https://docs.anaconda.com/anaconda/install/).
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2. In the Anaconda prompt (or terminal in Linux or MacOS), start JupyterLab:
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2. In the Anaconda prompt (or terminal in Linux or macOS), start JupyterLab:
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<img class="img-fluid" alt="" src="{{ base_url }}/static/img/install/anaconda_prompt.png"/>
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