//   extra care when printing them - ignore since it is not
			//   going to change w/o a language change.
			// - Internal and vendored packages do not contribute to our
			//   API surface. (If we are running within the "std" module,
			//   vendored dependencies appear as themselves instead of
			//   their "vendor/" standard-library copies.)
			// - 'go list std' does not include commands, which cannot be
			//   imported anyway.

/*! jQuery v2.1.1 | (c) 2005, 2014 jQuery Foundation, Inc. | jquery.org/license */

				"application/vnd.syncml.dm+wbxml",
				"application/vnd.syncml.dm+xml",
				"application/vnd.syncml.dm.notification",
				"application/vnd.syncml.ds.notification",
				"application/vnd.tao.intent-module-archive",
				"application/vnd.tcpdump.pcap",
				"application/vnd.tmobile-livetv",
				"application/vnd.trid.tpt",
				"application/vnd.triscape.mxs",
				"application/vnd.trueapp",
				"application/vnd.truedoc",

    size.
*   TensorFlow 1.15 contains a complete implementation of the 2.0 API in its
    `compat.v2` module. It contains a copy of the 1.15 main module (without
    `contrib`) in the `compat.v1` module. TensorFlow 1.15 is able to emulate 2.0
    behavior using the `enable_v2_behavior()` function. This enables writing
    forward compatible code: by explicitly importing either

"crypto/internal/fips140/check" "crypto/internal/fips140/sha256" "errors" ) func init() { // Per IG 10.3.A: // "if the module implements an approved PBKDF (SP 800-132), the module // shall perform a CAST, at minimum, on the derivation of the Master // Key (MK) as specified in Section 5.3 of SP 800-132" // "The Iteration Count parameter does not need to be among those // supported by the module in the approved mode but shall be at least // two." fips140.CAST("PBKDF2", func() error { salt := []byte{ 0x0A,...

    <magic priority="50">
      <match value="MATLAB" type="string" offset="0"/>
    </magic>
      <glob pattern="*.mat"/>
  </mime-type>

  <mime-type type="text/x-modula">
    <_comment>Modula source code</_comment>
    <glob pattern="*.m3"/>
    <glob pattern="*.i3"/>
    <glob pattern="*.mg"/>
    <glob pattern="*.ig"/>
    <sub-class-of type="text/plain"/>
  </mime-type>

        config-file: ./.github/codeql/codeql-config.yml

    - name: Cleanup Gradle Cache
      # Cleans up the Gradle caches before being cached
      run: |
        rm -f ~/.gradle/caches/modules-2/modules-2.lock
        rm -f ~/.gradle/caches/modules-2/gc.properties

	error string // Empty means no error.
}

var badExprTests = []badExprTest{
	{"0/0", "division by zero"},
	{"3/0", "division by zero"},
	{"(1<<63)/0", "divide of value with high bit set"},
	{"3%0", "modulo by zero"},
	{"(1<<63)%0", "modulo of value with high bit set"},
	{"3<<-4", "negative left shift count"},
	{"3<<(1<<63)", "negative left shift count"},
	{"3>>-4", "negative right shift count"},
	{"3>>(1<<63)", "negative right shift count"},

# Other core modules
subprojects/core                                            # @gradle/bt-cortex to be eventually moved to other core modules
subprojects/core-api                                        # @gradle/bt-cortex to be eventually moved to other core modules

# Develocity integration

running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that