de-quote some strings (flyteorg#380)

* de-quote some strings

Signed-off-by: Haytham Abuelfutuh <[email protected]>

* Dequote more stuff

Signed-off-by: Haytham Abuelfutuh <[email protected]>

* dequote more stuff

Signed-off-by: Haytham Abuelfutuh <[email protected]>

cookbook/case_studies/feature_engineering/sqlite_datacleaning/datacleaning_workflow.py

@@ -22,23 +22,23 @@
 # Next, we define the reference tasks. A :py:func:`flytekit.reference_task` references the Flyte tasks that have already been defined, serialized, and registered.
 # The primary advantage of using a reference task is to reduce the redundancy; we needn't define the task(s) again if we have multiple datasets that need to be feature-engineered.
 #
-#  .. note::
+# .. note::
 #
-#     The Macro ``{{ registration.version }}`` is filled during the registration time by `flytectl register`. This is usually not required for using reference tasks, you should
-#     ideally bind to a specific version of the entity - task / launchplan. But, in the case of this example, we are registering both the actual task ``sqlite_datacleaning.tasks.mean_median_imputer`` and
-#     and the workflow that references it. Thus we want it to actually be updated to the version of a specific release of FlyteSnacks. This is why we use the ``{{ registration.version }}`` macro.
-#     A typical example of reference task would look more like
+#    The Macro ``{{ registration.version }}`` is filled during the registration time by `flytectl register`. This is usually not required for using reference tasks, you should
+#    ideally bind to a specific version of the entity - task / launchplan. But, in the case of this example, we are registering both the actual task ``sqlite_datacleaning.tasks.mean_median_imputer`` and
+#    and the workflow that references it. Thus we want it to actually be updated to the version of a specific release of FlyteSnacks. This is why we use the ``{{ registration.version }}`` macro.
+#    A typical example of reference task would look more like
 #
-#     .. code-block:: python
+#    .. code-block:: python
 #
-#          @reference_task(
-#               project="flytesnacks",
-#               domain="development",
-#               name="sqlite_datacleaning.tasks.mean_median_imputer",
-#               version="d06cebcfbeabc02b545eefa13a01c6ca992940c8", # If using GIT for versioning OR 0.16.0 is using semver
-#           )
-#           def mean_median_imputer()
-#               ...
+#       @reference_task(
+#            project="flytesnacks",
+#            domain="development",
+#            name="sqlite_datacleaning.tasks.mean_median_imputer",
+#            version="d06cebcfbeabc02b545eefa13a01c6ca992940c8", # If using GIT for versioning OR 0.16.0 is using semver
+#        )
+#        def mean_median_imputer()
+#            ...
 #
 @reference_task(
     project="flytesnacks",

cookbook/core/control_flow/run_conditions.py

@@ -239,9 +239,9 @@ def sum_diff(a: float, b: float) -> float:
 #   A useful mental model for consuming outputs of conditions is to think of them like ternary operators in programming
 #   languages. The only difference being they can be n-ary. In python this is equivalent to
 #
-#       .. code-block:: python
+#   .. code-block:: python
 #
-#           x = 0 if m < 0 else 1
+#      x = 0 if m < 0 else 1
 @workflow
 def consume_outputs(my_input: float, seed: int = 5) -> float:
     is_heads = coin_toss(seed=seed)
@@ -261,5 +261,7 @@ def consume_outputs(my_input: float, seed: int = 5) -> float:
 # %%
 # As usual local execution does not change
 if __name__ == "__main__":
-    print(f"consume_outputs(0.4) with default seed=5. This should return output of sum_diff => {consume_outputs(my_input=0.4)}")
-    print(f"consume_outputs(0.4, seed=7), this should return output of square => {consume_outputs(my_input=0.4, seed=7)}")
+    print(
+        f"consume_outputs(0.4) with default seed=5. This should return output of sum_diff => {consume_outputs(my_input=0.4)}")
+    print(
+        f"consume_outputs(0.4, seed=7), this should return output of square => {consume_outputs(my_input=0.4, seed=7)}")

cookbook/integrations/aws/athena/athena.py

@@ -36,37 +36,37 @@ def no_io_wf():
 # `AWS docs <https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html>`__.
 # The data is formatted according to this schema:
 #
-#     +----------------------------------------------+
-#     | country (string)                             |
-#     +----------------------------------------------+
-#     | iso_code (string)                            |
-#     +----------------------------------------------+
-#     | date (string)                                |
-#     +----------------------------------------------+
-#     | total_vaccinations (string)                  |
-#     +----------------------------------------------+
-#     | people_vaccinated (string)                   |
-#     +----------------------------------------------+
-#     | people_fully_vaccinated (string)             |
-#     +----------------------------------------------+
-#     | daily_vaccinations_raw (string)              |
-#     +----------------------------------------------+
-#     | daily_vaccinations (string)                  |
-#     +----------------------------------------------+
-#     | total_vaccinations_per_hundred (string)      |
-#     +----------------------------------------------+
-#     | people_vaccinated_per_hundred (string)       |
-#     +----------------------------------------------+
-#     | people_fully_vaccinated_per_hundred (string) |
-#     +----------------------------------------------+
-#     | daily_vaccinations_per_million (string)      |
-#     +----------------------------------------------+
-#     | vaccines (string)                            |
-#     +----------------------------------------------+
-#     | source_name (string)                         |
-#     +----------------------------------------------+
-#     | source_website (string)                      |
-#     +----------------------------------------------+
+# +----------------------------------------------+
+# | country (string)                             |
+# +----------------------------------------------+
+# | iso_code (string)                            |
+# +----------------------------------------------+
+# | date (string)                                |
+# +----------------------------------------------+
+# | total_vaccinations (string)                  |
+# +----------------------------------------------+
+# | people_vaccinated (string)                   |
+# +----------------------------------------------+
+# | people_fully_vaccinated (string)             |
+# +----------------------------------------------+
+# | daily_vaccinations_raw (string)              |
+# +----------------------------------------------+
+# | daily_vaccinations (string)                  |
+# +----------------------------------------------+
+# | total_vaccinations_per_hundred (string)      |
+# +----------------------------------------------+
+# | people_vaccinated_per_hundred (string)       |
+# +----------------------------------------------+
+# | people_fully_vaccinated_per_hundred (string) |
+# +----------------------------------------------+
+# | daily_vaccinations_per_million (string)      |
+# +----------------------------------------------+
+# | vaccines (string)                            |
+# +----------------------------------------------+
+# | source_name (string)                         |
+# +----------------------------------------------+
+# | source_website (string)                      |
+# +----------------------------------------------+
 #
 # Let's look out how we can parameterize our query to filter results for a specific country, provided as a user input
 # specifying a country iso code.